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  Subjects -> COMPUTER SCIENCE (Total: 2011 journals)
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COMPUTER SCIENCE (1172 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 15)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 24)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 9)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 6)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 3)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 6)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 2)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 21)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 9)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 25)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 26)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 7)
Advances in Artificial Intelligence     Open Access   (Followers: 16)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 6)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 18)
Advances in Computer Science : an International Journal     Open Access   (Followers: 15)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 27)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 11)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 27)
Advances in Human-Computer Interaction     Open Access   (Followers: 21)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 40)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 4)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 8)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 9)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 5)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 5)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 13)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Computer Systems     Open Access   (Followers: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 15)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 135)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 7)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 4)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 11)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 9)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 285)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 14)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 18)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 34)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 47)
British Journal of Educational Technology     Hybrid Journal   (Followers: 136)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 2)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 1)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 14)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 15)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 20)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 55)
Communications of the Association for Information Systems     Open Access   (Followers: 18)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access   (Followers: 1)
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 9)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 11)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 15)
Computational Linguistics     Open Access   (Followers: 22)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 30)
Computer     Full-text available via subscription   (Followers: 91)
Computer Aided Surgery     Hybrid Journal   (Followers: 5)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 9)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 12)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 2)
Computer Music Journal     Hybrid Journal   (Followers: 18)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 8)
Computer Science and Engineering     Open Access   (Followers: 19)
Computer Science and Information Technology     Open Access   (Followers: 13)
Computer Science Education     Hybrid Journal   (Followers: 14)
Computer Science Journal     Open Access   (Followers: 22)

        1 2 3 4 5 6 | Last

Journal Cover Advances in Engineering Software
  [SJR: 0.812]   [H-I: 49]   [27 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0965-9978
   Published by Elsevier Homepage  [3123 journals]
  • Assembly sequences plan generation using features simplification
    • Authors: Riadh Ben Hadj; Imen Belhadj; Moez Trigui; Nizar Aifaoui
      Pages: 1 - 11
      Abstract: Publication date: May 2018
      Source:Advances in Engineering Software, Volume 119
      Author(s): Riadh Ben Hadj, Imen Belhadj, Moez Trigui, Nizar Aifaoui
      The automatic generation of the assembly/disassembly plan is considered a topical problem in the computer-aided tools area. The main problem of the major proposed approaches is the excessive processing time to treat the whole assembly model. This paper proposes a simplification approach of CAD models to make the generation of assembly plan easy. The developed method begins by the elimination of connection elements to obtain a simplified assembly sequence. A case-based reasoning algorithm is, then, developed to insert the entire eliminated elements in the global assembly sequence plan. Two examples of CAD assembly are treated in order to compare and validate the obtained results.

      PubDate: 2018-02-05T00:15:34Z
      DOI: 10.1016/j.advengsoft.2018.01.008
      Issue No: Vol. 119 (2018)
  • Singular Value Decomposition used for compression of results from the
           Finite Element Method
    • Authors: Štěpán Beneš; Jaroslav Kruis
      Pages: 8 - 17
      Abstract: Publication date: March 2018
      Source:Advances in Engineering Software, Volume 117
      Author(s): Štěpán Beneš, Jaroslav Kruis
      A complex finite element analysis can produce large amount of data that is problematic to post-process in reasonable time. This paper describes application of Singular Value Decomposition (SVD) to the compression of results from finite element solvers. Although the idea of image compression method is an inspiration for this research work, the SVD compression algorithm used for compression of images cannot be directly used for FEM results. Differences and implementation challenges are discussed in the text. Quality of approximation is more important in scientific field than in computer graphics where the most significant factor is the human perception of the resulting image. Error estimation methods used during compression of finite element results are presented. The focus is also on the algorithm performance. SVD is a very computational intensive method. Therefore, various optimization techniques were investigated, e.g. randomized SVD. The method leads to the lower memory consumption, 10% of the original size or less, with negligible compression error.

      PubDate: 2018-02-05T00:15:34Z
      DOI: 10.1016/j.advengsoft.2017.12.007
      Issue No: Vol. 117 (2018)
  • A new data-driven design methodology for mechanical systems with high
           dimensional design variables
    • Authors: Xianping Du; Feng Zhu
      Pages: 18 - 28
      Abstract: Publication date: March 2018
      Source:Advances in Engineering Software, Volume 117
      Author(s): Xianping Du, Feng Zhu
      Complicated engineering products such as cars with a large number of components can be regarded as big data systems, where the vast amount of dependent and independent design variables must be considered systematically during the product development. To design such a system with high-dimensional design variables, this study aims at developing a novel methodology based on data mining theory, and it is implemented through designing a crashworthy passenger car, which is a multi-level (system – components) complicated system. Decision tree technique was used to mine the crash simulation datasets to identify the key design variables with most significant effect on the vehicular energy absorption response and determine the range of their values. In this way, the design space can be significantly reduced and the high-dimensional design problem is greatly simplified. The results suggest that the data mining based approach can be used to design a complicated structure with multiple parameters effectively and efficiently. Compared with the traditional design method, the new approach could simplify and speed up the design process without significant influence on the accuracy.

      PubDate: 2018-02-05T00:15:34Z
      DOI: 10.1016/j.advengsoft.2017.12.006
      Issue No: Vol. 117 (2018)
  • A B-spline design model for propeller blades
    • Abstract: Publication date: April 2018
      Source:Advances in Engineering Software, Volume 118
      Author(s): F. Pérez-Arribas, R. Pérez-Fernández
      This work presents a new design methodology for modelling the blades of propellers using B-spline surfaces. Propeller blades are good examples of free form surfaces, designed specifically considering several parameters that control their performance. Traditional tools for surface design in CAD, such as control point manipulation, are not appropriated for blade design, and the designers prefer to work with design parameters that possess a clear aerodynamic / hydrodynamic meaning. This method uses common design parameters for the geometry of propellers and produces a final B-spline surface for the geometry of the blades that can be used for the visualisation, calculations, and construction of the propeller. The method starts with the definition of a 3D grid of points that form the propeller blades based on the 2D definition of a series of cross-sectional profiles at several radial locations. Propeller blades are very thin objects with great changes of curvature, and if standard B-spline techniques are used, they cannot be modelled well under a tolerance unless a large number of control points is used, producing very complex surfaces. The inclination and twist of the blades are given by rake and pitch angles, quite common in the design procedures. The method stresses the fitting of the blade's leading edge which has great effect on the propeller behaviour and geometrically has a small curvature radius in comparison with the rest of the blades.

      PubDate: 2018-02-05T00:15:34Z
  • Optimized segmented heat source for the numerical simulation of
           welding-induced deformation in large structures
    • Authors: Haichao Wang; Zhijiang Wang; Pengfei Bai; Shengsun Hu; Yanshen Zhang; Ren Wang
      Pages: 1 - 7
      Abstract: Publication date: March 2018
      Source:Advances in Engineering Software, Volume 117
      Author(s): Haichao Wang, Zhijiang Wang, Pengfei Bai, Shengsun Hu, Yanshen Zhang, Ren Wang
      A segmented heat source is typically used in welding processes with high energy density and high welding speed, such as laser beam welding. In such welding processes, the intense heat source runs through one segment so quickly that the heating processes in each segment could be considered as a segmented heat source with the largest heat flux heating in a short time. It is then possible to use a segmented heat source model to reduce the computation time. In the present work, a feasible and highly efficient optimized segmented heat source, in which cooling time is considered, was proposed to extend its application area. The optimized segmented heat source could be applied to simulate welding processes with various welding speeds and to simulate large structures with high efficiency. The axial strain in welding a pipe with external diameter of 510 mm and wall thickness of 13.5 mm by shielded metal arc welding was measured to verify the accuracy of the proposed heat source. The temperature filed characteristics and the prediction of welding deformation and its distribution were discussed to measure the accuracy and efficiency of the model with the proposed heat source. The model with the optimized segmented heat source predicts the welding deformation with higher accuracy compared to the model with the traditional segmented heat source; however, the efficiency was compromised. Its accuracy is in the range of 10% compared to the model with a double-ellipsoidal heat source, but it is more effective.

      PubDate: 2017-12-26T18:05:57Z
      DOI: 10.1016/j.advengsoft.2017.12.005
      Issue No: Vol. 117 (2017)
  • Research on simulation of the bending fatigue test of automotive wheel
           made of long glass fiber reinforced thermoplastic considering anisotropic
    • Authors: Weihao Chai; Xiandong Liu; Yingchun Shan; Xiaofei Wan; Er Jiang
      Pages: 1 - 8
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Weihao Chai, Xiandong Liu, Yingchun Shan, Xiaofei Wan, Er Jiang
      Using the long glass fiber reinforced thermoplastic composite (LGFT) in wheel manufacture is an important way for the lightweight design of automotive wheel. The bending fatigue test of automotive wheel is one of the key tests to ensure a safe wheel. Aiming at minimizing the development cost, this paper investigates a simulation method of the bending fatigue test considering the anisotropic property of the LGFT. First and foremost, the anisotropic material model of the LGFT is established based on the tensile test of LGFT specimens. With the fiber orientation and distribution of the wheel from the injection molding simulation, the anisotropic material property of the LGFT wheel is obtained. Then the simulation model of the bending fatigue test platform is established, with which the strength simulation of the LGFT wheel is conducted. To validate the accuracy of the simulation method and the anisotropic material model, the simulation results from the anisotropic/isotropic material models and the experimental result from the physical bending fatigue test are compared and analyzed. It can be seen that the result from the anisotropic material model satisfies the requirements well and is more accurate than that from the isotropic material model. The research shows that it is necessary to consider the anisotropic property in the strength simulation of the bending fatigue test of the LGFT wheel, and the simulation method considering anisotropic property provides an effective way for the strength simulation of other components made of the fiber reinforced thermoplastics.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.11.004
      Issue No: Vol. 116 (2017)
  • Aerodynamic design of a multi-stage industrial axial compressor
    • Authors: Jinhuan Zhang; Zhenggui Zhou; Hui Cao; Qi Li
      Pages: 9 - 22
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Jinhuan Zhang, Zhenggui Zhou, Hui Cao, Qi Li
      Axial compressors are widely used in industrial applications; high efficiencies and large operating ranges are main performance requirements for their aerodynamic designs. In this study, an aerodynamic design method for multi-stage axial compressors is proposed. The design of the first stage is based on the S1/S2 stream surface theory, and a repeated stage design method is proposed for subsequent stage designs. And in the first stage design, a multi-point optimization design is used to design the rotor and stator blade profiles for both high efficiencies and large operating ranges. A five repeated stage axial compressor with a large mass flow rate has been designed by this design method. Analysis results of the rotor and stator three-dimensional flow fields indicate that the flow is primarily limited to the S1 stream surface and the two-dimensional design method is applicable; the flow in subsequent stages possesses similar characteristics as the flow in first stage. In addition, the designed five-stage axial compressor has a total pressure ratio that approaches the design goal and a stability margin that exceeds the design goal. The novelty of this study includes two parts, one is the usage of multi-point optimization method for rotor and stator blade design, and the other is the repeated stage design method.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.11.005
      Issue No: Vol. 116 (2017)
  • Build-X: Expert system for seismic analysis and assessment of 3D buildings
           using OpenSees
    • Authors: Nikolaos K. Psyrras; Anastasios G. Sextos
      Pages: 23 - 35
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Nikolaos K. Psyrras, Anastasios G. Sextos
      Despite the breadth of the available finite element codes for seismic analysis and assessment, the associated complexity in use and the generality in orientation are likely to increase the epistemic uncertainty involved in the models, particularly in nonlinear analysis procedures. Thus, it is of interest to develop tools for improving the reliable use of existing structural engineering software. This paper aims to present the capabilities of Build-X, a recently developed knowledge-based system tailored to the prediction of the seismic response of 3D buildings. This expert system features a simple visual user interface that supports the structural engineer throughout the structural configuration of a building, providing expert suggestions as to critical modeling decisions, and automations that increase the reliability of the analysis and accelerate the pre-processing stage. Build-X is linked with OpenSees, a widely used script-based freeware for seismic analysis of structures, which is utilized to perform the core finite element analysis. Post-processing tasks are easy to handle through the graphical engine of the system developed. A verification study demonstrates the efficiency of the system and reliability of the results generated, pointing to the way in which Build-X may serve as a useful tool for the seismic analysis of newly designed buildings and the assessment of existing ones at reduced computational cost and modeling uncertainty.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.11.007
      Issue No: Vol. 116 (2017)
  • Implementation of isogeometric boundary element method for 2-D steady heat
           transfer analysis
    • Authors: Zhilin An; Tiantang Yu; Tinh Quoc Bui; Chao Wang; Ngoc Anh Trinh
      Pages: 36 - 49
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Zhilin An, Tiantang Yu, Tinh Quoc Bui, Chao Wang, Ngoc Anh Trinh
      In this paper, the recently developed hybrid numerical method based on isogeometric analysis (IGA) and boundary element method (BEM), named as IGABEM, is further extended to study steady heat transfer problems in two dimensions (2D). The IGA employs spline basis functions (e.g., NURBS) as shape functions for geometric description and field approximation. The NURBS only describe the boundary of objects, and the BEM also directly deals with the boundaries. Therefore, the combined IGABEM is highly attractive as it takes advantages of the common boundary representation of both the IGA and the BEM. The formulation of IGABEM for steady heat transfer is derived, and its performance and accuracy are verified through numerical test cases by comparing the obtained results with analytical and finite element method solutions. The convergence of the developed approach for steady heat transfer problems is also analyzed. The computer codes of the IGABEM developed for steady heat transfer analysis can be accessed at:

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.11.008
      Issue No: Vol. 116 (2017)
  • Parallelized implementation of an explicit finite element method in many
           integrated core (MIC) architecture
    • Authors: Yong Cai; Guangyao Li; Wenyang Liu
      Pages: 50 - 59
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Yong Cai, Guangyao Li, Wenyang Liu
      Hardware accelerators are becoming increasingly important in boosting high performance computing systems. In this study, we develop a parallel explicit finite element (FE) analysis system based on a many integrated core (MIC) architecture for fast simulation of nonlinear dynamic problems of plate and shell structures. To minimize data transfer between heterogeneous architectures, parallel computation of the all explicit FE calculation is realized by developing a vectorized thread-level parallelism algorithm. The parallelism includes a novel dependency relationship link based method for efficiently solving parallel explicit shell element equations. A heterogeneous model is established to overlap data transfer and offloaded computation, and thus reduce the time required for large intermediate data storage in the actual engineering nonlinear problem simulation. Finally, a high performance nonlinear dynamic simulation system is developed. The simulations of benchmarks and engineering problems show that the parallel computing method proposed in this paper can give full play to the hardware performance of MIC architecture and effectively improve the computation efficiency of an explicit FE solution. For a bus body model containing approximately 3.8 million degrees of freedom, the computational speed is improved 17 times over CPU sequential computation, and the relative speedup grows with the increasing number of threads, the highest relative speedup exceeds 80.

      PubDate: 2017-12-26T18:05:57Z
      DOI: 10.1016/j.advengsoft.2017.12.001
      Issue No: Vol. 116 (2017)
  • Noise attenuation capacity of a Helmholtz resonator
    • Authors: Chenzhi CAI; Cheuk Ming MAK
      Pages: 60 - 66
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Chenzhi CAI, Cheuk Ming MAK
      Helmholtz resonator (HR) is one of the most basic acoustic models and has been widely used in engineering applications due to its simple, tunable and durable characteristics. The transmission loss index is mainly used to evaluate the acoustic transmission performance. Based on the transmission loss index, this paper proposes the noise attenuation capacity index as one of the key parameters to evaluate the noise attenuation performance of a HR. The noise attenuation capacity is defined as the integral of transmission loss in the frequency domain. The theoretical formula of a HR's noise attenuation capacity is first derived in this study. It indicates that the noise attenuation capacity of a HR is only related to geometries of the neck and duct's cross-sectional area. The cavity volume has no effects on its noise attenuation capacity. The proposed theoretical formula of a HR's noise attenuation capacity is validated by Finite Element Method (FEM) simulation using commercial software (COMSOL Multiphysics). The proposed noise attenuation capacity of a HR should therefore be considered as one of the main acoustic characteristics of a HR. It is hoped that the present study could provide a stepping stone for the investigation of the HR's or other silencers’ noise attenuation capacity and potential applications in all research areas in respect of the HR.

      PubDate: 2017-12-26T18:05:57Z
      DOI: 10.1016/j.advengsoft.2017.12.003
      Issue No: Vol. 116 (2017)
  • A comparative study of machine learning approaches for modeling concrete
           failure surfaces
    • Authors: Uwe Reuter; Ahmad Sultan; Dirk S. Reischl
      Pages: 67 - 79
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Uwe Reuter, Ahmad Sultan, Dirk S. Reischl
      This study introduces an enhanced approach for concrete failure criterion, which is strongly needed for a realistic simulation of concrete behavior, by employing machine learning approaches instead of the traditional models of failure surfaces. Since the shape of concrete failure surfaces is not exactly known, a general shape function for verification purposes of the machine learning approaches is introduced. Artificial neural networks, support vector machines, and support vector regression are adapted to model realizations of this general shape function with different noise levels. After the successful fitting of these surfaces, the algorithms are employed to model the failure surface of C25 concrete starting from 88 experimental tests. The three approaches are able to fit the experimental data with low error and are compared to one another. Drucker–Prager and Bresler–Pister surfaces are solved for the same experimental data and compared with the support vector regression surface. The main advantage of machine learning approaches is that they are model-free approaches which eliminate the need of new models for new concrete types.

      PubDate: 2017-12-26T18:05:57Z
      DOI: 10.1016/j.advengsoft.2017.11.006
      Issue No: Vol. 116 (2017)
  • Incremental digital volume correlation method with nearest subvolume
    • Authors: Bo Wang; Bing Pan
      Pages: 80 - 88
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Bo Wang, Bing Pan
      Digital volume correlation (DVC) has been widely accepted as an effective experimental technique for quantifying full-field internal 3D deformation of solid materials and structures under external loading. However, conventional DVC using a fixed reference volume image generally fails when serious decorrelation occurs in deformed volume images due to large deformation or other reasons. In this work, an accurate and simple incremental DVC method with nearest subvolume offset is proposed for large deformation measurement. Specifically, the reference subvolumes in the updated reference volume images are translated to nearest integer-voxel positions, rather than being interpolated at subvoxel locations. The translated reference subvolumes, within which all correlation points locate at integer-voxel positions, are then tracked in the rest deformed volume images to retrieve incremental displacement fields. The obtained incremental displacement fields are then accumulated to previously obtained displacement fields to determine the overall displacements. By using the simple nearest subvolume offset approach, subvoxel intensity interpolation for the updated reference subvolumes is entirely avoided, thus not only eliminating the bias error associated with imperfect subvoxel intensity interpolation, but also increasing the computational efficiency of incremental DVC calculation by approximately 2.5 times. The accuracy, efficiency and practicality of the presented incremental DVC are demonstrated by analyzing two sets of volume images with large deformation generated in numerically simulated and real-world experiments.

      PubDate: 2017-12-26T18:05:57Z
      DOI: 10.1016/j.advengsoft.2017.12.004
      Issue No: Vol. 116 (2017)
  • Topological shape optimization of 3D micro-structured materials using
           energy-based homogenization method
    • Authors: Jie Gao; Hao Li; Liang Gao; Mi Xiao
      Pages: 89 - 102
      Abstract: Publication date: February 2018
      Source:Advances in Engineering Software, Volume 116
      Author(s): Jie Gao, Hao Li, Liang Gao, Mi Xiao
      This paper proposes an effective method for the design of 3D micro-structured materials to attain extreme mechanical properties, which integrates the firstly developed 3D energy-based homogenization method (EBHM) with the parametric level set method (PLSM). In the 3D EBHM, a reasonable classification of nodes in periodic material microstructures is introduced to develop the 3D periodic boundary formulation consisting of 3D periodic boundary conditions, 3D boundary constraint equations and the reduced linearly elastic equilibrium equation. Then, the effective elasticity properties of material microstructures are evaluated by the average stress and strain theorems rather than the asymptotic theory. Meanwhile, the PLSM is applied to optimize microstructural shape and topology because of its positive characteristics, like the perfect demonstration of geometrical features and high optimization efficiency. Numerical examples are provided to demonstrate the advantages of the proposed design method. Results indicate that the optimized 3D material microstructures with expected effective properties are featured with smooth structural boundaries and clear interfaces.

      PubDate: 2017-12-26T18:05:57Z
      DOI: 10.1016/j.advengsoft.2017.12.002
      Issue No: Vol. 116 (2017)
  • BIM-based integrated delivery technologies for intelligent MEP management
           in the operation and maintenance phase
    • Authors: Zhen-Zhong Hu; Pei-Long Tian; Sun-Wei Li; Jian-Ping Zhang
      Pages: 1 - 16
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Zhen-Zhong Hu, Pei-Long Tian, Sun-Wei Li, Jian-Ping Zhang
      Incomplete building information in delivery and the lack of compatible tools for Operation and Maintenance (O & M) have hindered the development of the intelligent management of Mechanical, Electrical and Plumbing (MEP) systems. In fact, the information related to the O & M management of the MEP system conventionally comes from the completion documents in the forms of hard copies or unstructured digital files, making it hard to search for useful information in the “sea” of documents and drawings. Therefore, digitalization of information is an urgent task to facilitate the intelligent management of the MEP system. As a project deliverable, the as-built information model shall not only contain geometrical information and necessary construction-related data, but also built-in information useful for the intelligent O & M management. In the present study, based on the Building Information Modeling/Model (BIM) technology, a set of solutions including the automatic establishment of the logic chain for MEP systems, an equipment grouping and labeling scheme and an algorithm to transform BIM information to GIS map model, is proposed to digitalize and integrate the MEP-related information into the as-built model. Subsequently, a cross-platform O & M management system is developed using the MEP-related information in the as-built model to run routine O & M tasks and to effectively response to MEP-related emergencies. The developed system is applied to aid the O & M management of MEP engineering in a real project, showing that the developed system facilitates the intelligent O & M management and guarantees the security of the MEP system and its subsystems.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.08.007
      Issue No: Vol. 115 (2017)
  • Intelligent assessment of subsurface cracks in optical glass generated in
           mechanical grinding process
    • Authors: Yong Jie Zhao; Yun Hui Yan; Ke Chen Song; Hao Nan Li
      Pages: 17 - 25
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Yong Jie Zhao, Yun Hui Yan, Ke Chen Song, Hao Nan Li
      Grinding process of optical glass has been reported to be related with the creation of subsurface cracks. However, for the time being, most measurement methods have been depended on human operations. In this paper, an intelligent assessment method based on image processing technique is proposed. Grinding trials proved that, the proposed method can accurately (with the biggest relative error of 3.53%) and quickly (nearly 1.6 seconds per micrographs) recognize and measure the subsurface crack depths. More importantly, the proposed method has good robustness to different-sized images. Besides, the method does not require any input parameters or any adjustment of thresholds, therefore the method does not require any prior knowledge of either mechanical grinding process or brittle material behaviors relating with subsurface cracks. Based on above, the proposed method is expected to be meaningful to both metrology equipment companies and optical glass manufacturers.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.08.008
      Issue No: Vol. 115 (2017)
  • An ontology-based approach supporting holistic structural design with the
           consideration of safety, environmental impact and cost
    • Authors: Jisong Zhang; Haijiang Li; Yinghua Zhao; Guoqian Ren
      Pages: 26 - 39
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Jisong Zhang, Haijiang Li, Yinghua Zhao, Guoqian Ren
      Early stage decision-making for structural design critically influences the overall cost and environmental performance of buildings and infrastructure. However, the current approach often fails to consider the multi-perspectives of structural design, such as safety, environmental issues and cost in a comprehensive way. This paper presents a holistic approach based on knowledge processing (ontology) to facilitate a smarter decision-making process for early design stage by informing designers of the environmental impact and cost along with safety considerations. The approach can give a reasoning based quantitative understanding of how the design alternatives using different concrete materials can affect the ultimate overall performance. Embodied CO2 and cost are both considered along with safety criteria as indicative multi-perspectives to demonstrate the novelty of the approach. A case study of a concrete structural frame is used to explain how the proposed method can be used by structural designers when taking multi performance criteria into account. The major contribution of the paper lies on the creation of a holistic knowledge base which links through different knowledge across sectors to enable the structural engineer to come up with much more comprehensive decisions instead of individual single objective targeted delivery.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.08.010
      Issue No: Vol. 115 (2017)
  • Numerical analysis of the creep crack constraint effects and the creep
           crack initiation for pressurized pipelines with circumferential surface
    • Authors: Dongquan Wu; Hongyang Jing; Lianyong Xu; Lei Zhao; Yongdian Han
      Pages: 40 - 51
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Dongquan Wu, Hongyang Jing, Lianyong Xu, Lei Zhao, Yongdian Han
      The creep crack constraint effects using a load-independent creep constraint parameter Q* and the creep crack initiation (CCI) times were characterized by 3D finite element method for pipelines with circumferential surface cracks of different geometrical sizes. The results revealed that the distribution regulation of Q* along the crack front for circumferential internal surface cracks and external surface cracks was similar. The maximum constraint level occurred near the deepest crack front part for cracks with smaller a/c, while it occurred near the free surface for cracks with larger a/c. The constraint values at the same position (2Φ/π) increased with the increasing of the crack depth when a/c kept constant. The circumferential internal surface cracks of pipelines were proved more dangerous than the external surface cracks with the same geometrical size. Furthermore, the CCI times were decided by the peak values of constraint, or the CCI firstly occurred at the position where the constraint level was maximum. In addition, the empirical relationships between the CCI times and crack sizes were fitted, which was also verified effectively.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.08.013
      Issue No: Vol. 115 (2017)
  • Helicopter modelling and study of the accelerated rotor
    • Authors: S. Castillo-Rivera; M. Tomas-Rodriguez
      Pages: 52 - 65
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): S. Castillo-Rivera, M. Tomas-Rodriguez
      This work presents a helicopter dynamic model that captures the fuselage vibrations for an accelerated main rotor. Some rotor parameters are modified with the purpose of study their impact on the rotorcraft. Being this, a tool that allows to predict vibrations on the helicopter. The rotorcraft model has been built up by using VehicleSim, software specialized in modelling mechanical systems composed by rigid bodies. The rotors are articulated, the main rotor takes into account flap, lag and feather degrees of freedom for each of the equispaced blades and their dynamic couplings. The dynamic performance and the control action are embedded in a single code, thereby VehicleSim does not require external connection to other software package. This generates some advantages such as to reduce the compilation time. The control methodology makes use of PID controllers (Proportional, Integral, Derivative), which allows to use VehicleSim commands exclusively. The state space matrices have been obtained in order to analysis the uncoupled main rotor flap and lag modes. The detection of vibrations from the offset flap hinge as well as the lag hinge are not straightforward tasks and this helicopter model provides an accurate tool to study these. A short time Fourier transform processing is used to analysis the vibrations and these have shown to agree with the expected behaviour.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.08.012
      Issue No: Vol. 115 (2017)
  • Numerical modeling of coupling thermal–metallurgical transformation
           phenomena of structural steel in the welding process
    • Authors: Jie Xia; Hui Jin
      Pages: 66 - 74
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Jie Xia, Hui Jin
      Welding is a significant joining technology in engineering construction. In addition to the effect of residual stress on joining quality, an obstacle in welding analysis is the complex phenomena, including phase transformation, thermal cycle and microstructure kinetics. The influence is manifested by microstructural development, defect formation and metallurgy transformation in the weld region. For the further knowledge of phase transformation behavior in the welding process, a simulation procedure of coupling thermo-metallurgical is elaborated by utilizing finite element theory. Heat transfer analysis and solid-state transformation in the welding process are implemented in the developed welding simulation model. The Koistinen–Marburger model and Leblond phase evaluation model are employed in the established user subroutine tool to consider the continuous heating transformation and continuous cooling transformation. The utilization of this method makes it possible to more precisely highlight the phase transformation behavior law in the welding region since the thermal cycle in welding process is essentially different from the general heat treatment process. The thermal cycle and cooling rate are taken into account to predict the metallurgical transformation behavior and phase fraction. Transformation latent heat is implemented in the proposed procedure for the thermal–metallurgical coupling analysis in welding. The calculated results are compared with some experimental data and results from standard software. The proposed coupling analysis simulation model is validated by the good agreement between the simulated and experimental results.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.08.011
      Issue No: Vol. 115 (2017)
  • A multi-granularity NC program optimization approach for energy efficient
    • Authors: X.X. Li; W.D. Li; F.Z. He
      Pages: 75 - 86
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): X.X. Li, W.D. Li, F.Z. He
      NC programs are widely developed and applied to various machining processes. However, the lack of effective NC program optimization strategy for the machining energy efficiency has been crippling the implementation of sustainability in companies. To address this issue, a multi-granularity NC program optimization approach for energy efficient machining has been developed and presented in this paper. This approach consists of two levels of granularities: the granularity of a group of NC programs for a setup where the features are machined on a single CNC machine with the same fixture and the granularity of a NC program. On the former level of granularity, the execution sequence of the NC programs for the setup of a part is optimized to reduce the energy consumed by the cutting tool change among the NC programs. On the latter level of granularity, the execution sequence of the features in the same NC program is optimized to reduce the energy consumed by the cutting tool's traveling among the machining features. Experiments on the practical cases show that the optimization results from this approach are promising and the approach has significant potential of applicability in practice.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.08.014
      Issue No: Vol. 115 (2017)
  • An improved direct linear equation solver using multi-GPU in multi-body
    • Authors: Ji-Hyun Jung; Dae-Sung Bae
      Pages: 87 - 102
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Ji-Hyun Jung, Dae-Sung Bae
      This research proposes an implementation of effective direct linear equation solver for mechanical multi-body dynamics analysis. The proposed method focuses on the solvability for any size of GPU memory and scalability for any number of GPUs by using BFS-based traversal. A multi-level tree is divided into as many sub-trees as a GPU number by using the nested dissection, each of which is assigned to each GPU. Balanced graph bisection, additional sub-trees, and work stealing lead to minimum idle GPU computing time. Numerical experiments have been performed to decide the optimal maximum block size. Three mechanical models and the other three matrices from UF collection have been solved to show the effectiveness of the proposed method. Two different kinds of 4 GPUs, GeForce GTX 460 and GTX TITAN BLACK, are involved in this experiment. The proposed method shows a good solvability even when the test GPU memory is dozens of times smaller than the required data size for numerical factorization. The proposed optimization algorithm presents a good scalability on the number of GPUs. The performance results are compared with those obtained from CHOLMOD included in SuiteSparse library.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.001
      Issue No: Vol. 115 (2017)
  • Virtual traffic simulation with neural network learned mobility model
    • Authors: Jian Zhang; Abdelkader El Kamel
      Pages: 103 - 111
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Jian Zhang, Abdelkader El Kamel
      Virtual traffic simulation plays an important role in easing traffic congestion and reducing traffic pollution. As the transportation network expands, the former rule-based mobility models showed several limitations in producing convincing virtual vehicles. A more realistic model with example-based method is in demand. In this paper, a neural network is employed with carefully selected traffic trajectory data. The virtual vehicle production is driven by the proposed mobility model and organized by a specified structure. Then, the virtual traffic simulation could be given for an indicated scenario.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.002
      Issue No: Vol. 115 (2017)
  • Predicting compressive strength of lightweight foamed concrete using
           extreme learning machine model
    • Authors: Zaher Mundher Yaseen; Ravinesh C. Deo; Ameer Hilal; Abbas M. Abd; Laura Cornejo Bueno; Sancho Salcedo-Sanz; Moncef L. Nehdi
      Pages: 112 - 125
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Zaher Mundher Yaseen, Ravinesh C. Deo, Ameer Hilal, Abbas M. Abd, Laura Cornejo Bueno, Sancho Salcedo-Sanz, Moncef L. Nehdi
      In this research, a machine learning model namely extreme learning machine (ELM) is proposed to predict the compressive strength of foamed concrete. The potential of the ELM model is validated in comparison with multivariate adaptive regression spline (MARS), M5 Tree models and support vector regression (SVR). The Lightweight foamed concrete is produced via creating a cellular structure in a cementitious matrix during the mixing process, and is widely used in heat insulation, sound attenuation, roofing, tunneling and geotechnical applications. Achieving product consistency and accurate predictability of its performance is key to the success of this technology. In the present study, an experimental database encompassing pertinent data retrieved from several previous studies has been created and utilized to train and validate the ELM, MARS, M5 Tree and SVR machine learning models. The input parameters for the predictive models include the cement content, oven dry density, water-to-binder ratio and foamed volume. The predictive accuracy of the four models has been assessed via several statistical score indicators. The results showed that the proposed ELM model achieved an adequate level of prediction accuracy, improving MARS, M5 Tree and SVR models. Hence, the ELM model could be employed as a reliable and accurate data intelligent approach for predicting the compressive strength of foamed concrete, saving laborious trial batches required to attain the desired product quality.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.004
      Issue No: Vol. 115 (2017)
  • An open toolbox for the reduction, inference computation and sensitivity
           analysis of Credal Networks
    • Authors: Silvia Tolo; Edoardo Patelli; Michael Beer
      Pages: 126 - 148
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Silvia Tolo, Edoardo Patelli, Michael Beer
      Bayesian Networks are a flexible and intuitive tool associated with a robust mathematical background. They have attracted increasing interest in a large variety of applications in different fields. In spite of this, inference in traditional Bayesian Networks is generally limited to only discrete variables or to probabilistic distributions (adopting approximate inference algorithms) that cannot fully capture the epistemic imprecision of the data available. In order to overcome these limitations, Credal Networks have been proposed to integrate Bayesian Networks with imprecise probabilities which, adopting non-probabilistic or hybrid models, allow to fully represent the information available and its uncertainty. Here, a novel computational tool, implemented in the general purpose software OpenCossan, is proposed. The tool provides the reduction of Credal Networks through the use of structural reliability methods, in order to limit the cost associated with the inference computation without impoverishing the quality of the information initially introduced. Novel algorithms for the inference computation of networks involving probability bounds are provided. In addition, a novel sensitivity approach is proposed and implemented into the Toolbox in order to identify the maximum tolerable uncertainty associated with the inputs.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.003
      Issue No: Vol. 115 (2017)
  • Optimum design of 3D reinforced concrete frames using DMPSO algorithm
    • Authors: M.J. Esfandiari; G.S. Urgessa; S. Sheikholarefin; S.H. Dehghan Manshadi
      Pages: 149 - 160
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): M.J. Esfandiari, G.S. Urgessa, S. Sheikholarefin, S.H. Dehghan Manshadi
      Evolutionary optimization algorithms are widely used for solving optimization problems. However, in the realm of real-world structures finding the optimum design would be difficult and time-consuming due to large number of design variables, enormous size of the search space, and availability of numerous constraints. As a result, holistic optimization approaches that consider architectural and other practical requirements in addition to required code provisions are rather limited in real-world structures. This paper presents an innovative algorithm combining multi-criterion decision-making (DM) and Particle Swarm Optimization (PSO), which is called DMPSO, for accelerating convergence toward optimum solution in 3D reinforced concrete (RC) frames. All practical requirements are considered for obtaining directly constructible designs without any further modifications. The effectiveness of the proposed algorithm is illustrated in optimization of 3D RC frames subjected to lateral seismic forces according to ASCE 7 requirements. The results confirm the ability of the proposed DMPSO algorithm to efficiently find optimal solutions for 3D RC optimization problems.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.007
      Issue No: Vol. 115 (2017)
  • Cross-sectional shape design of automobile structure considering rigidity
           and driver's field of view
    • Authors: Wenjie Zuo; Yayun Lu; Xing Zhao; Jiantao Bai
      Pages: 161 - 167
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Wenjie Zuo, Yayun Lu, Xing Zhao, Jiantao Bai
      Thin-walled beam structure can be used to efficiently predict the performances of automobile frame for conceptual design. However, it is an open issue to acquire an accurate cross-sectional shape of A-pillar structure considering both rigidity and driver's field of view (DFOV). This paper proposes an approach to calculate the cross-sectional rigidity and DFOV. Firstly, formulations of cross-sectional properties, including open, single-cell, double-cell, three-cell, four-cell section, are summarized. Secondly, the obstruction angle is introduced to describe DFOV, which is acquired by a nonlinear optimization model. Finally, a A-pillar example of Toyota RAV4, solved by the developed software – CarFrame, proves that the proposed method can be completely applied at the conceptual design of the automobile structure.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.006
      Issue No: Vol. 115 (2017)
  • Two-dimensional fracture modeling with the generalized/extended finite
           element method: An object-oriented programming approach
    • Authors: Mohammad Malekan; Leandro L. Silva; Felicio B. Barros; Roque L.S. Pitangueira; Samuel S. Penna
      Pages: 168 - 193
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Mohammad Malekan, Leandro L. Silva, Felicio B. Barros, Roque L.S. Pitangueira, Samuel S. Penna
      This work presents an object-oriented implementation of the G/XFEM to model the crack nucleation and propagation in structures made of either linear or nonlinear materials. A discontinuous function along with the asymptotic crack-tip displacement fields are used to represent the crack without explicitly meshing its surfaces. Different approach are explained in detail that are used to capture the crack nucleation within the model and also determine the crack propagation path for various problems. Stress intensity factor and singularity of the localization tensor (which provides the classical strain localization condition) can be used to determine the crack propagation direction for linear elastic materials and nonlinear material models, respectively. For nonlinear material model, the cohesive forces acting on the crack plane are simulated in the enrichment process by incorporating a discrete constitutive model. Several algorithms and strategies have been implemented, within an object-oriented framework in Java, called INSANE. This implementation will be presented in detail by solving different two-dimensional problems, for both linear and nonlinear material models, in order to show the robustness and accuracy of the proposed method. The numerical results are compared with the reference solutions from the analytical, numerical or experimental results, where applicable.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.005
      Issue No: Vol. 115 (2017)
  • Mixing non-Newtonian flows in anaerobic digesters by impellers and pumped
    • Authors: Michael Meister; Massoud Rezavand; Christian Ebner; Thomas Pümpel; Wolfgang Rauch
      Pages: 194 - 203
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Michael Meister, Massoud Rezavand, Christian Ebner, Thomas Pümpel, Wolfgang Rauch
      In this article, a finite volume method based CFD analysis of the mixing of Newtonian and non-Newtonian flows in anaerobic digesters is conducted. The multiple reference frame method is used to model the mixing which is induced by an impeller rotating within a mechanical draft tube. Moreover, the feeding of biomass is considered in the model formulation. Following the validation of the method against reference data, the mixing of cylindrical and egg-shaped digesters is investigated. The distinguishing feature of this article is that the theoretical findings are adopted for the operation of a real-life anaerobic digester. In the context of a case study slurry flows with high total solids concentrations are investigated.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.015
      Issue No: Vol. 115 (2017)
  • Uniform thickness control without pre-specifying the length scale target
           under the level set topology optimization framework
    • Authors: Jikai Liu; Lei Li; Yongsheng Ma
      Pages: 204 - 216
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Jikai Liu, Lei Li, Yongsheng Ma
      In the authors’ earlier work [1], a component length scale control functional was proposed to regulate the topology evolution with uniform thickness distribution; however, the sensitivity result was numerically calculated with certain approximation. In order to make this functional better work for complex design problems, the sensitivity result is now analytically calculated with the aid of the structural skeleton-based non-signed distance level set field. More importantly, this component length scale control functional has been upgraded to eliminate the need of pre-specifying the length scale target. By using control functional instead of constraints, a benefit is that the structural performance and length scale control effect can be balanced by the weight factor, because it is not always necessary to strictly achieve the uniform thickness distribution while drastically compromising the structural performance. Therefore, this work studies the uniform thickness control in a multi-objective manner. Effectiveness of the proposed method is proved through a few 2D and 3D numerical case studies.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.013
      Issue No: Vol. 115 (2017)
  • Topology optimization method with direct coupled finite
           element–element-free Galerkin method
    • Authors: Yaqing Zhang; Wenjie Ge; Yonghong Zhang; Zhenfei Zhao
      Pages: 217 - 229
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Yaqing Zhang, Wenjie Ge, Yonghong Zhang, Zhenfei Zhao
      A topology optimization method, based on a direct coupled finite element (FE) and element-free Galerkin (EFG) method, is developed in this study, for reducing the computational cost of EFG-based topology optimization methods. Comparing with other coupling methods, the new coupling method can guarantee higher order continuity of the shape function in the coupling region and it can be implemented easily. A constrained centroidal Voronoi tessellation (CCVT) algorithm associated with density variable is developed to generate updated EFG nodes for the discretizing of EFG domain during the iterations which accelerates the optimization convergence. To reduce the computational cost, an adaptive multi-level Gauss quadrature scheme is introduced for numerical integration. Several examples are given to demonstrate the effectiveness of the proposed approach and the proposal shows advantages comparing with some other topology optimization methods.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.012
      Issue No: Vol. 115 (2017)
  • An integrated beam-plate structure multi-level optimal design framework
           based on bi-directional evolutionary structural optimization and surrogate
    • Authors: Kai Li; Yanyun Yu; Jingyi He; Yan Lin
      Pages: 230 - 247
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Kai Li, Yanyun Yu, Jingyi He, Yan Lin
      Lots of endeavors have been made to apply optimization techniques to real design problems for various engineering beam-plate structures, however, due to the limitation of traditional topological form and the difficulty of finding the optimal topology in numerous optional design plans, many beam-plate structure designs are not the optimal solution but only a feasible solution. This paper proposes an integrated optimal design framework for beam-plate structure based on combining bi-directional evolutionary structural optimization (BESO) and surrogate model method, which covers three optimization levels, as dimension optimization, topology optimization and section optimization. BESO is used for topology optimization. In order to deal with beam-plate structures, the traditional BESO method is improved by using cubic box as the unit cell instead of solid unit to construct periodic lattice structure. Requirements for the framework are discussed based on the features of beam-plate structure design process first. The proposed framework consists of automated finite element modeling module, structure optimization module and post-processing module. Usefulness of the designed framework is examined through a cantilever beam structure design.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.011
      Issue No: Vol. 115 (2017)
  • Graphics processing unit accelerated phase field dislocation dynamics:
           Application to bi-metallic interfaces
    • Authors: Adnan Eghtesad; Kai Germaschewski; Irene J. Beyerlein; Abigail Hunter; Marko Knezevic
      Pages: 248 - 267
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Adnan Eghtesad, Kai Germaschewski, Irene J. Beyerlein, Abigail Hunter, Marko Knezevic
      We present the first high-performance computing implementation of the meso-scale phase field dislocation dynamics (PFDD) model on a graphics processing unit (GPU)-based platform. The implementation takes advantage of the portable OpenACC standard directive pragmas along with Nvidia's compute unified device architecture (CUDA) fast Fourier transform (FFT) library called CUFFT to execute the FFT computations within the PFDD formulation on the same GPU platform. The overall implementation is termed ACCPFDD-CUFFT. The package is entirely performance portable due to the use of OPENACC-CUDA inter-operability, in which calls to CUDA functions are replaced with the OPENACC data regions for a host central processing unit (CPU) and device (GPU). A comprehensive benchmark study has been conducted, which compares a number of FFT routines, the Numerical Recipes FFT (FOURN), Fastest Fourier Transform in the West (FFTW), and the CUFFT. The last one exploits the advantages of the GPU hardware for FFT calculations. The novel ACCPFDD-CUFFT implementation is verified using the analytical solutions for the stress field around an infinite edge dislocation and subsequently applied to simulate the interaction and motion of dislocations through a bi-phase copper-nickel (Cu–Ni) interface. It is demonstrated that the ACCPFDD-CUFFT implementation on a single TESLA K80 GPU offers a 27.6X speedup relative to the serial version and a 5X speedup relative to the 22-multicore Intel Xeon CPU E5-2699 v4 @ 2.20 GHz version of the code.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.010
      Issue No: Vol. 115 (2017)
  • General surface loading over layered transversely isotropic pavements with
           imperfect interfaces
    • Authors: Heng Liu; Ernian Pan; Yingchun Cai
      Pages: 268 - 282
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Heng Liu, Ernian Pan, Yingchun Cai
      In this paper, we present an efficient and comprehensive approach to study the response of layered flexible pavements under general surface loading. Each layer can be transversely isotropic and the interface between the layers can be imperfect. Multiple surface loadings in both vertical and horizontal directions over circular regions can be applied. To handle efficiently multilayered pavements under very general loading and interface conditions, a new method called DVP (dual variable and position method) is proposed. The new method is computationally stable and can handle multiple imperfect interfaces very well in the multilayered pavement. The solution is further expressed in terms of the cylindrical system of vector functions so that the normal (dilatational) and shear (torsional) deformations can be separated and solved in terms of the LM- and N-types of this vector-function system. Various equivalent imperfect interface models are also investigated and their equivalence to the thin interface layer is further discussed.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.09.009
      Issue No: Vol. 115 (2017)
  • An evaluation on SP surface property by means of combined FEM-DEM shot
           dynamics simulation
    • Authors: Jiabin Zhang; Shihong Lu; Tianrui Wu; Zhen Zhou; Wei Zhang
      Pages: 283 - 296
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Jiabin Zhang, Shihong Lu, Tianrui Wu, Zhen Zhou, Wei Zhang
      The surface coverage induced by shot peening (SP) has substantial influence on the fatigue durability of components. The underlying motivation for this work was to predict coverage, compressive residual stress (CRS), and roughness of the alloy, Al 2024-T351. These characteristics were assessed by computational modelling that is based on a combined finite element method (FEM) and discrete element method (DEM). The advantage of this combined method is that we only need to combine a representative dimple with the impact locations obtained from different SP parameters in DEM. Especially in the parametric analysis was carried out to evaluate coverage regarding to SP parameters. Furthermore, the DEM simulation generates an input file for the FEM simulation, which is then used to analyse the CRS and the resulting roughness that corresponds to SP parameters. The numerical coverage study (based on the combined DEM-FEM method) exhibited the same trend as the experimental data, with respect to the percentage of full coverage time, t, and is more reliable than theoretical calculations. In a practical sense, the developed model has the ability to accurately achieve the desired surface with the ability to adjust the SP parameters efficiently.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.10.001
      Issue No: Vol. 115 (2017)
  • Automatic generation of structured multiblock boundary layer mesh for
    • Authors: Fengshun Lu; Yufei Pang; Xiong Jiang; Junfeng Sun; Yong Huang; Ziwei Wang; Jiali Ju
      Pages: 297 - 313
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Fengshun Lu, Yufei Pang, Xiong Jiang, Junfeng Sun, Yong Huang, Ziwei Wang, Jiali Ju
      Structured meshes are widely utilized in the aircraft industry, despite their requirement for significant interaction between the engineers and the commercial software used in the generation process. In this research, we introduce part of our achievements while investigating the automatic generation techniques for structured meshes of arbitrary aircrafts. First, we present a data structure that eliminates the many-to-many relationship between various physical entities representing the discrete mesh. Second, we propose a novel method that can automatically generate a structured multiblock boundary layer mesh using an input surface mesh. Finally, we verify the proposed method with three cases (i.e., convex/concave steps, a four-rudder missile and the F6 wing-body half model) by the metrics Jacobian, included angles and aspect ratios. These experiments show that our proposed method can automatically generate structured multiblock boundary layer mesh for aircrafts.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.10.003
      Issue No: Vol. 115 (2017)
  • Least-Square-Support-Vector-Machine-based approach to obtain displacement
           from measured acceleration
    • Authors: Jale Tezcan; Claudia C. Marin-Artieda
      Pages: 357 - 362
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Jale Tezcan, Claudia C. Marin-Artieda
      Recent advances in computer and sensing technologies have led to the proliferation of sensor networks in structural health monitoring and condition monitoring applications. Vibration data collected by sensors provide useful information about the condition of a structure or a machine component, facilitating identification of any changes in its performance. While acceleration and displacement data provide complementary information, a cost-effective alternative to monitoring both is to estimate displacements from accelerations. This paper presents a kernel regression approach for obtaining displacement time series from acceleration data. Starting from a second-order central difference approximation, the method performs ridge regression in a feature space induced by the linear kernel. The main advantages of the proposed method are (1) It does not require baseline adjustment, other than removing the mean of the acceleration record; (2) The solution obtained is numerically stable, and thus regularization is not necessary; (3) The reconstructed displacement does not exhibit any long period drift. The validity of the proposed method is demonstrated through examples, where structural systems’ displacements computed using the proposed approach were compared to the recorded experimental displacements. While the presented examples focus only on monitoring of vibrations responses of structural systems, the proposed method can be used in other settings where a displacement signal is to be estimated from an acceleration signal with appropriate, application-specific modifications.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.10.011
      Issue No: Vol. 115 (2017)
  • Interactive flow simulation using Tegra-powered mobile devices
    • Authors: Adrian R.G. Harwood; Alistair J. Revell
      Pages: 363 - 373
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): Adrian R.G. Harwood, Alistair J. Revell
      The ability to perform interactive CFD simulations on mobile devices allows the development of portable, affordable simulation tools that can have a significant impact in engineering design as well as teaching and learning. This work extends existing work in the area by developing and implementing a GPU-accelerated, interactive simulation framework suitable for mobile devices. The accuracy, throughput, memory usage and battery consumption of the application is established for a range of problem sizes. The current GPU implementation is found to be over 300 ×  more efficient in terms of combined throughput and power consumption than a comparable CPU implementation. The usability of the simulation is examined through a new ‘interactivity’ metric which identifies the ratio of simulated convection to real world convection of the same problem. This real-time ratio illustrates that large resolutions may increase throughput through parallelisation on the GPU but this only partially offsets the decrease in simulated flow rate due to the necessary shrinking of the time step in the solver with increasing resolution. Therefore, targeting higher throughput configurations of GPU-solvers offer little additional benefit for interactive applications due to ultimately simulations evolving at a too slow a rate to facilitate interaction. The trade-off between accuracy, speed and power consumption are explored with the choice of problem resolution ultimately being characterised by a desired accuracy, flow speed and endurance of a given simulation. With current rates of growth in mobile compute power expected to continue, real-time simulation is expected to be possible at higher resolutions with a reduced energy footprint in the near future.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.10.005
      Issue No: Vol. 115 (2017)
  • Combination of simulated annealing and pseudo spectral methods for the
           optimum removal rate in turning operations of nickel-based alloys
    • Authors: J.A. Palacios; D. Olvera; G. Urbikain; A. Elías-Zúñiga; O. Martínez-Romero; L.N. López de Lacalle; C. Rodríguez; H. Martínez-Alfaro
      Pages: 391 - 397
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): J.A. Palacios, D. Olvera, G. Urbikain, A. Elías-Zúñiga, O. Martínez-Romero, L.N. López de Lacalle, C. Rodríguez, H. Martínez-Alfaro
      In this paper, an approach that combines simulated annealing technique (SA) with the Chebyshev collocation method (CCM) or with the Enhanced Multistage Homotopy Perturbation (EMHPM) is established. Then, these two new approaches are applied to find optimal cutting conditions in turning operations of nickel-based superalloy (Inconel 718©) by using SNMG and VBMT tool-inserts. To validate the proposed approaches in terms of material removal rate and stability, a series of turning cutting tests were carried out. Numerical results show that when the CCM is combined with SA technique, the optimum stable cutting conditions such as the axial depth of cut and the spindle speed, were estimated 100 times faster than from the CCM. Furthermore, experimental data and numerical results confirmed that the productivity by using a tool-SNMG insert is 19% higher than when using VBMT tool-insert, which is mainly due to the tool stability dynamic response.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.10.008
      Issue No: Vol. 115 (2017)
  • Model-free fractional-order sliding mode control for an active vehicle
           suspension system
    • Authors: H.P. Wang; Ghazally I.Y. Mustafa; Y. Tian
      Pages: 452 - 461
      Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115
      Author(s): H.P. Wang, Ghazally I.Y. Mustafa, Y. Tian
      This paper presents a new model-free fractional-order sliding mode control (MFFOSMC) based on an Extended State Observer (ESO) for a quarter car active suspension systems. The main goal is to increase the ride comfort while the dynamic wheel load and the suspension deflection remain within safety critical bounds. The model with nonlinearity, parameter variation and/or external disturbance which includes the friction force effect are simultaneously considered to provide a realistic framework. Moreover, modeling was performed using the software LMS AMESim, while the control part was configured on Matlab/Simulink. Lyapunov stability theory is used to analyze the closed-loop system and finite-time convergence stability. Finally, to demonstrate the effectiveness of the proposed controller, a comparison with classical PID, time delay estimation control, and intelligent PID controller has been performed.

      PubDate: 2017-12-12T19:23:08Z
      DOI: 10.1016/j.advengsoft.2017.11.001
      Issue No: Vol. 115 (2017)
  • IFC: Editorial Board/ Publishing Info
    • Abstract: Publication date: January 2018
      Source:Advances in Engineering Software, Volume 115

      PubDate: 2017-12-12T19:23:08Z
  • Optimization of loading path in hydroforming of parallel double branched
           tube through response surface methodology
    • Authors: Mingtao Chen; Xiaoting Xiao; Jianghuai Tong; Heng Guo; Jianping Wen
      Abstract: Publication date: Available online 15 November 2017
      Source:Advances in Engineering Software
      Author(s): Mingtao Chen, Xiaoting Xiao, Jianghuai Tong, Heng Guo, Jianping Wen
      In this work, the response surface methodology along with the finite element method was employed to optimize the loading path for hydroforming parallel double branched tube parts. A combination of experimental design, numerical simulations and regression analysis was utilized, to determine the mathematical models between objectives and design variables. Consequently, the effectiveness of the models was evaluated through variance analysis and was utilized to predict the behavior of the tube hydroforming process. The effects and corresponding interactions of the design variables on the parallel double branched tube hydroforming were illustrated and discussed. Moreover, the response surface methodology and desirability method were applied, in order to obtain the optimal loading path within the given optimization criteria. The optimized result was in good agreement with the experimental results.

      PubDate: 2017-11-18T16:18:22Z
      DOI: 10.1016/j.advengsoft.2017.11.003
  • Influences of heat input, welding sequence and external restraint on
           twisting distortion in an asymmetrical curved stiffened panel
    • Authors: Wei Liang; Dean Deng
      Abstract: Publication date: Available online 13 November 2017
      Source:Advances in Engineering Software
      Author(s): Wei Liang, Dean Deng
      Welding distortion not only degrades the fabrication accuracy of ship hull blocks but also decreases the productivity due to correction works. The accurate prediction of welding-induced distortion will help control the dimension accuracy. In this study, a computational approach based on inherent strain theory and interface element method was employed to efficiently and precisely estimate welding-induced deformation for large welded structures generated during assembly process. In the proposed approach, the local shrinkage due to heat input were considered by inherent strain components. On the other hand, the gap as well misalignment between the two parts to be joined, and the change of stiffness during assembly process were taken into account by interface elements. Meanwhile, the geometrical nonlinearity was included in the developed computational approach. In the current study, the features of welding deformation in an asymmetrical curved stiffened panel were numerically investigated by mean of the new computational approach. In addition, the influences of heat input, welding sequence and external restraint on the twisting distortion of the curved stiffened panel were further studied.

      PubDate: 2017-11-18T16:18:22Z
      DOI: 10.1016/j.advengsoft.2017.11.002
  • Method for automated reconstruction of a car's path during crash from
           GPS/INS data using a Kalman filter
    • Authors: Marin Aldimirov; Rumen Arnaudov
      Abstract: Publication date: Available online 7 November 2017
      Source:Advances in Engineering Software
      Author(s): Marin Aldimirov, Rumen Arnaudov
      This article presents a method for automated reconstruction of a car's path during crash. Unlike conventional methods, which rely on indirect measurements like tire marks, property damage, etc. and on human intervention, the presented method uses only data from direct measurements, made by an EDR device. The method is compatible with devices built with low cost MEMS sensors. The path reconstruction is done fully automated, using a Kalman filter, similar to the ones used in inertial navigation. The test results show that the method has practical value as a source of information for the final expert report in a car crash investigation. It can also be used to perform a remote crash reconstruction if the data is sent over e.g. mobile network, thus being of benefit even to emergency call center operators.

      PubDate: 2017-11-11T06:23:10Z
      DOI: 10.1016/j.advengsoft.2017.10.009
  • MATLAB 2D higher-order triangle mesh generator with finite element
           applications using subparametric transformations
    • Authors: T.V. Smitha; K.V. Nagaraja; Sarada Jayan
      Abstract: Publication date: Available online 3 November 2017
      Source:Advances in Engineering Software
      Author(s): T.V. Smitha, K.V. Nagaraja, Sarada Jayan
      This paper presents a novel automated higher-order (HO) unstructured triangular mesh generation of the two-dimensional domain. The proposed HO scheme uses the nodal relations obtained from subparametric transformations with parabolic arcs, especially for curved geometry. This approach is shown to drastically simplify the computational complexities involved in the HO finite element (HOFE) formulation of any partial differential equation (PDE). The prospective generalised MATLAB 2D mesh generation codes, HOmesh2d for the regular domain and CurvedHOmesh2d for a circular domain are based on the MATLAB mesh generator distmesh of Persson and Strang. As an input, the code takes a signed distance function of the domain geometry and the desired order for the triangular elements and as outputs, the code generates an HO triangular mesh with element connectivity, node coordinates, and boundary data (edges and nodes). The working principle of HOFE scheme, using subparametric transformations with the proposed HO automated mesh generator is explained. The simplicity, efficiency, and accuracy of the HOFE method, with the proposed HO automated mesh generator up to 28-noded triangular elements, are illustrated with elliptic PDE. The proposed techniques are applied to some electromagnetic problems. The use of higher order elements from the proposed mesh generator is shown to increase the accuracy and efficiency of the numerical results. Also, with the proposed HOFE scheme it is verified that HO elements significantly decrease the numbers of degrees of freedom, and elements required to achieve a specific level of accuracy compared to lower order elements. Numerical results show that the HO elements outperform the lower order elements in terms of efficiency and accuracy of the numerical results.

      PubDate: 2017-11-05T06:14:09Z
      DOI: 10.1016/j.advengsoft.2017.10.012
  • Application of the EnKF method for real-time forecasting of smoke movement
           during tunnel fires
    • Authors: Jie Ji; Qi Tong; Liangzhu (Leon) Wang; Cheng-Chun Lin; Cong Zhang; Zihe Gao; Jun Fang
      Abstract: Publication date: Available online 3 November 2017
      Source:Advances in Engineering Software
      Author(s): Jie Ji, Qi Tong, Liangzhu (Leon) Wang, Cheng-Chun Lin, Cong Zhang, Zihe Gao, Jun Fang
      Real-time prediction of smoke layer temperature and height of tunnel fires are crucial in guiding emergency rescue. However, current fire simulation tools are often not able to provide reliable modeling results due to poorly known input parameters and model errors. Besides, fire modeling are subject to computer resources, for instance, fire modeling by computational fluid dynamics (CFD) tools is often time-consuming. Moreover, sensors located in tunnels can only detect certain physical quantities within a certain level of uncertainties. In order to gain more reliable predictions of temperature and smoke layer height of tunnel fires in real time, a proposed method, inverse modeling based on Ensemble Kalman Filter (EnKF), is presented in this study to improve the predictability and address problems of demanding computer resources of tunnel fire simulation by doing data assimilation. The basic formulas of EnKF method are introduced and the application of EnKF to tunnel fires is implemented by connecting the fire simulation tool, CFAST, with a data assimilation software, OpenDA. In current study, observation data are generated under the framework of Observation System Simulation Experiment (OSSE), i.e., synthetic observations are generated by CFAST simulation assuming true value of control parameters are known. Studies are conducted to show the feasibility of real-time predicting smoke movement during tunnel fires. Results show that prediction performance are improved after applying the EnKF method compared to the standalone tunnel fires modeling.

      PubDate: 2017-11-05T06:14:09Z
      DOI: 10.1016/j.advengsoft.2017.10.007
  • Design of experimental vehicle specified for competition Shell
           Eco-marathon 2017 according to principles of car body digitisation based
           on views in 2D using the intuitive tool Imagine&Shape CATIA V5
    • Authors: Michal Fabian; Michal Puškár; Róbert Boslai; Melichar Kopas; Štefan Kender; Róbert Huňady
      Abstract: Publication date: Available online 3 November 2017
      Source:Advances in Engineering Software
      Author(s): Michal Fabian, Michal Puškár, Róbert Boslai, Melichar Kopas, Štefan Kender, Róbert Huňady
      Materialisation of every new great idea requires performing of many activities, including application of the latest CA-technologies. Nowadays the design process concerning the exterior and interior parts of a motorcar is unthinkable without utilisation of the CAD support. Although the primary impulses, new ideas or inspirations are arising in the minds of customers, businessmen and managers, the realisation process itself is always a serious task for the engineers in order to create a final shape, taking into consideration the customer's requirements. The experimental vehicles represent a special category of the motorcars. Design of the experimental vehicles demands a specific approach with regard to the above-standard requirements concerning vehicle aerodynamics, reduced rolling resistances and low-level fuel consumption of the vehicle engine.

      PubDate: 2017-11-05T06:14:09Z
      DOI: 10.1016/j.advengsoft.2017.10.006
  • Real-time visualization of 3D terrains and subsurface geological
    • Authors: Alejandro Graciano; Antonio J. Rueda; Francisco R. Feito
      Abstract: Publication date: Available online 2 November 2017
      Source:Advances in Engineering Software
      Author(s): Alejandro Graciano, Antonio J. Rueda, Francisco R. Feito
      Geological structures, both at the surface and subsurface levels, are typically represented by means of voxel data. This model presents a major drawback: its large storage requirements. In this paper, we address this problem and propose the use of a stack-based representation for geological surface-subsurface structures. Although this representation has been mainly used for volumetric terrain visualization in previous works, it has been used as an auxiliary data structure. Therefore, our main contribution in this work is its use as a first-class representation for both processing and visualization of surface and subsurface information. The proposed solution provides real-time visualization of volumetric terrains and subsurface geological structures represented as stacks using a compact data representation in the GPU. Different GPU memory implementations of the stacks have been described, discussing the tradeoffs between performance and storage efficiency. We also introduce a novel algorithm for the calculation of the surface normal vectors using a hybrid object-image space strategy. Moreover, important features for geoscientific applications such as visualization of boreholes or geological cross sections, and selective attenuation of strata have also been implemented in a straightforward way.

      PubDate: 2017-11-05T06:14:09Z
      DOI: 10.1016/j.advengsoft.2017.10.002
  • Engineering design analysis utilizing a cloud platform
    • Authors: Sunil Suram; Nordica A. MacCarty; Kenneth M. Bryden
      Abstract: Publication date: Available online 2 November 2017
      Source:Advances in Engineering Software
      Author(s): Sunil Suram, Nordica A. MacCarty, Kenneth M. Bryden
      In this paper we present a novel methodology for modeling engineered and other systems based on integrating a set of component models that are accessible as “model-as-a-service” components within a cloud platform. These component models can be combined together to form a systems model. The component models are stateless and web-enabled. The advantage of being web-enabled is that developers can use the models as API endpoints as opposed to library components, hence making the models themselves language agnostic and less restrictive in their use. These ideas are presented within the context of a previously published engineering model for the thermal analysis and preliminary design of a small biomass cookstove. In this paper the monolithic biomass cookstove model is separated into six independent, stateless component models supported by a generic model application infrastructure. Interaction between the models is orchestrated by a federated model system. Finally, the results of the cookstove from the monolithic model were compared with the distributed systems model. It was found that there was no change in the results. However, the systems model increased the time-to-solution due to network latency. However, the ability to share models and data via API endpoints, will likely offset the overall wall-clock time for model integration, since model developers do not have to make code changes. In conclusion, it is advantageous to build web-enabled component models for their easy reuse across multiple systems models.

      PubDate: 2017-11-05T06:14:09Z
      DOI: 10.1016/j.advengsoft.2017.10.004
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