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COMPUTER SCIENCE (1235 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 25)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 31)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 9)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 17)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 15)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 5)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 9)
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: 16)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 8)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 6)
ACM Transactions on Economics and Computation     Hybrid Journal   (Followers: 1)
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 20)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 5)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 9)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 8)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 9)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Hybrid Journal   (Followers: 35)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Informatica Malaysia     Open Access  
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 10)
Advanced Engineering Materials     Hybrid Journal   (Followers: 29)
Advanced Science Letters     Full-text available via subscription   (Followers: 11)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 6)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 19)
Advances in Computer Engineering     Open Access   (Followers: 4)
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: 59)
Advances in Engineering Software     Hybrid Journal   (Followers: 29)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 14)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Human-Computer Interaction     Open Access   (Followers: 21)
Advances in Materials Science     Open Access   (Followers: 15)
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: 51)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 6)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 9)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
AI EDAM     Hybrid Journal   (Followers: 1)
Air, Soil & Water Research     Open Access   (Followers: 14)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 7)
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: 6)
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: 4)
Annals of Data Science     Hybrid Journal   (Followers: 12)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12)
Annals of Pure and Applied Logic     Open Access   (Followers: 4)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annals of West University of Timisoara - Mathematics and Computer Science     Open Access  
Annual Reviews in Control     Hybrid Journal   (Followers: 8)
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: 12)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Applied Clinical Informatics     Hybrid Journal   (Followers: 3)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 14)
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: 12)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 17)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 7)
Applied System Innovation     Open Access  
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 6)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 153)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 6)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 8)
Artifact     Open Access   (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 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: 6)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 13)
Automation in Construction     Hybrid Journal   (Followers: 7)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Balkan Journal of Electrical and Computer Engineering     Open Access  
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 51)
Big Data and Cognitive Computing     Open Access   (Followers: 4)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 330)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 51)
British Journal of Educational Technology     Hybrid Journal   (Followers: 163)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal   (Followers: 2)
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 15)
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: 3)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 15)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Hybrid Journal   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 15)
Clean Air Journal     Full-text available via subscription   (Followers: 1)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Clinical eHealth     Open Access  
Cluster Computing     Hybrid Journal   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 3)
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Communication Methods and Measures     Hybrid Journal   (Followers: 13)
Communication Theory     Hybrid Journal   (Followers: 24)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Computational Physics     Full-text available via subscription   (Followers: 2)
Communications in Information Science and Management Engineering     Open Access   (Followers: 4)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 4)
Communications of the ACM     Full-text available via subscription   (Followers: 51)
Communications of the Association for Information Systems     Open Access   (Followers: 16)
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: 8)
Computación y Sistemas     Open Access  
Computation     Open Access   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 3)
Computational and Mathematical Biophysics     Open Access   (Followers: 1)
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: 1)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 13)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access   (Followers: 1)
Computational Ecology and Software     Open Access   (Followers: 10)
Computational Economics     Hybrid Journal   (Followers: 10)
Computational Geosciences     Hybrid Journal   (Followers: 17)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 5)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 8)
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: 35)
Computer     Full-text available via subscription   (Followers: 105)
Computer Aided Surgery     Open Access   (Followers: 6)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 16)

        1 2 3 4 5 6 7 | Last

Journal Cover
Advances in Engineering Software
Journal Prestige (SJR): 1.159
Citation Impact (citeScore): 4
Number of Followers: 29  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0965-9978
Published by Elsevier Homepage  [3161 journals]
  • An inverse method for distributed dynamic load identification of
           structures with interval uncertainties
    • Abstract: Publication date: May 2019Source: Advances in Engineering Software, Volume 131Author(s): Lei Wang, Yaru Liu, Yisi Liu A time-domain based method for distributed dynamic load identification is proposed in this study considering unknown-but-bounded uncertainties in structural systems. The spatiotemporal dynamic load is further approximated by Chebyshev orthogonal polynomial in time history. Thus, the problem of distributed load reconstruction may be converted into the issue of polynomial coefficient calculation at each sampling time by utilizing a series of dynamic analysis. In accordance with the practical engineering, the acceleration response is used as the system input. In terms of the uncertainty quantification problems, the interval analysis method based on Taylor expansion (IAMBTE) is systematically developed to accomplish the envelope interval of identified load. To facilitate the analysis, two kinds of load are required to be identified, among which the nominal value of the identified load may be straightforwardly achieved through the inverse system, whereas the interval boundaries should be settled by the interval propagation analysis. Eventually, two numerical examples are investigated to demonstrate the efficiency and precision of the developed methodology.
  • On a general implementation of h- and p-adaptive
           curl-conforming finite elements
    • Abstract: Publication date: Available online 16 March 2019Source: Advances in Engineering SoftwareAuthor(s): Marc Olm, Santiago Badia, Alberto F. Martín Edge (or Nédélec) finite elements are theoretically sound and widely used by the computational electromagnetics community. However, its implementation, especially for high order methods, is not trivial, since it involves many technicalities that are not properly described in the literature. To fill this gap, we provide a comprehensive description of a general implementation of edge elements of first kind within the scientific software project FEMPAR . We cover into detail how to implement arbitrary order (i.e., p-adaptive) elements on hexahedral and tetrahedral meshes. First, we set the three classical ingredients of the finite element definition by Ciarlet, both in the reference and the physical space: cell topologies, polynomial spaces and moments. With these ingredients, shape functions are automatically implemented by defining a judiciously chosen polynomial pre-basis that spans the local finite element space combined with a change of basis to automatically obtain a canonical basis with respect to the moments at hand. Next, we discuss global finite element spaces putting emphasis on the construction of global shape functions through oriented meshes, appropriate geometrical mappings, and equivalence classes of moments, in order to preserve the inter-element continuity of tangential components of the magnetic field. Finally, we extend the proposed methodology to generate global curl-conforming spaces on non-conforming hierarchically refined (i.e., h-adaptive) meshes with arbitrary order finite elements. Numerical results include experimental convergence rates to test the proposed implementation.
  • Prediction of long-term temperature effect in structural health monitoring
           of concrete dams using support vector machines with Jaya optimizer and
           salp swarm algorithms
    • Abstract: Publication date: May 2019Source: Advances in Engineering Software, Volume 131Author(s): Fei Kang, Junjie Li, Jianghong Dai This paper presents innovative algorithms combining Jaya optimizer, salp swarm algorithms and (least-squares) support vector machines for simulating the temperature effect accurately in dam health monitoring modeling. The temperature effect is simulated by different variable sets of air temperature to get a reasonable choice. The proposed long-term air temperature based support vector machines algorithms are verified on monitoring data of a concrete gravity dam. Results confirm the ability of the proposed hybrid strategies to efficiently mine the effect of air temperature on dam behavior. The proposed approach based on direct air temperature observation can result in significant reduction in prediction errors of the dam displacements. The proposed method is tested on a concrete gravity dam and it is expected to be further tested on concrete arch dams in the future.
  • An efficient technique for simultaneous local and overall buckling
           analysis of stiffened panels
    • Abstract: Publication date: May 2019Source: Advances in Engineering Software, Volume 131Author(s): Jian Deng, Xinwei Wang, Zhangxian Yuan, Guangming Zhou The overall buckling and local buckling of stiffened panels are two possible failure modes and thus should be concerned by engineers in the preliminary design of lightweight structures. In this paper, an efficient technique is proposed to solve the local and overall buckling problem of stiffened panels simultaneously. A weak form quadrature plate element with stiffeners located anywhere in the plates other than along the nodal lines of the plate element is formulated. Explicit formulations with an arbitrary number of nodes are given. Improvement of solution accuracy can be easily done by increasing the number of element nodes if necessary. A convergence study is performed. Several numerical examples are given. Results are compared with either existing analytic solutions or finite element data for verification. It is shown that high accuracy can be achieved with a small number of nodes. In addition, the proposed method can allow a quick analysis of simultaneous overall and local buckling behavior of stiffened panels and thus may be suitable for optimization routines in preliminary design of stiffened panels.
  • Numerical investigation of the stress concentration on 7075-T651 aluminum
           alloy with one or two hemispherical pits under uniaxial or biaxial loading
    • Abstract: Publication date: May 2019Source: Advances in Engineering Software, Volume 131Author(s): Ishvari F. Zuñiga Tello, Gonzalo M. Domínguez Almaraz, Víctor López Garza, Manuel Guzmán Tapia Numerical simulations were carried out in order to obtain the stress concentrations induced by simulated hemispherical pits with 500 µm of diameter on square plates of 100 mm2 of the aluminum alloy 7075-T651, for three different plate thickness: 0.7, 1.6 and 3 mm.The pertinence of this study is supported by the fact that modern industries using this aluminum alloy, such as the aeronautical, marine, mold tool manufacturing and arms industries, are affected by the combination of loading and corrosion, which leads to stress concentration and the failure of material. Numerical simulations were performed to investigate the effect of one and two pits on the surface of aluminum plates, for the transverse or longitudinal load orientation and under uni-axial and biaxial loading. In addition, the depth of the pits across the thickness of the plate together with the proximity of two pits under the last described conditions were investigated. It was found that the orientation of two pits in regards the applied load plays a significant role on the stress concentration under uniaxial loading. Finally, graphs for the stress concentration and the corresponding general tendencies were obtained associated with hemispherical pits and the mentioned parameters of the plates, together with the general conclusions concerning these numerical results.
  • A new triangular mesh repairing method using a mesh distortion energy
           minimization-based mesh flattening method
    • Abstract: Publication date: May 2019Source: Advances in Engineering Software, Volume 131Author(s): Sahuck Oh In this paper, we present a new method of repairing triangular meshes that have defects such as holes, mesh gaps, mesh overlaps, and T-junctions. The new method in this paper connects the open vertices arising from mesh errors using the Delaunay triangulation, and maps the connected mesh into the parametric planar space by solving harmonic equations. In a parametric space, the mesh points are moved to optimal positions where the distortion energy of the mesh caused by mesh flattening is minimized. The optimally positioned mesh is then repaired to improve its quality in the parametric space to create an isotropic mesh, and the quality-improved planar mesh is mapped back to the real space. The 3D mesh obtained from this procedure preserves good mesh characteristics in parametric space because the proposed method significantly minimizes triangular mesh distortion when the 3D mesh in the real space is mapped to the parametric space and vice versa. For this reason, compared with current parametric space based mesh repairing methods that require complicated work to compensate for the distortion between two meshes in the parametric space and real space, but can be problematic when an initial mesh has severe mesh errors, the proposed method can easily improve the quality of the mesh with high fidelity. Analytic and industrial incomplete meshes were repaired with the proposed methods, which show that the low quality of the incomplete meshes were significantly improved after applying the proposed method.
  • Linked simulation for fire-exposed elements using CFD and
           thermo-mechanical models
    • Abstract: Publication date: May 2019Source: Advances in Engineering Software, Volume 131Author(s): Stanislav Šulc, Vit Šmilauer, Bořek Patzák, Kamila Cábová, František Wald Structural fire assessment belongs essentially to the design of steel, concrete or timber structures. The article presents a weakly-linked computational approach, employing the concept of adiabatic surface temperature (AST). The simulation comprises computational fluid dynamics (CFD), heat transport and solid mechanics. Application programming interfaces in linked codes (FDS, OOFEM) define methods for steering, data storage, visualization or fields mapping. The linked simulation is successfully validated on timber and concrete structural elements exposed to fire.
  • Building an ontological knowledgebase for bridge maintenance
    • Abstract: Publication date: April 2019Source: Advances in Engineering Software, Volume 130Author(s): Guoqian Ren, Rui Ding, Haijiang Li The operation stage has the biggest potential value in the bridge life cycle management, and it often critically influences the overall cost of the bridge. As such, changes in the efficiency of the project's operation stage could be of significant benefit to the overall project. However, current approaches in the operation stage often lack the effective support of computer-aided tools. This research presents a holistic method based on an ontology to achieve automatic rule checking and improve the management and communication of knowledge related to bridge maintenance. The developed ontology can also facilitate a smarter decision-making process for bridge management by informing engineers of choices with different considerations. Three approaches; semantic validation, syntactical validation, and case study validation, have been adopted to evaluate this ontology and demonstrate how the developed ontology can be used by engineers when dealing with different issues. The results showed that this approach can create a holistic knowledge base that can integrate various domain knowledge to enable bridge engineers to make more comprehensive decisions rather than a single objective-targeted delivery.
  • The generalized finite difference method for an inverse boundary value
           problem in three-dimensional thermo-elasticity
    • Abstract: Publication date: May 2019Source: Advances in Engineering Software, Volume 131Author(s): Wen Hu, Yan Gu, Chuanzeng Zhang, Xiaoqiao He In this study, a new framework for the efficient and accurate solutions for an inverse problem associated with three-dimensional (3D) coupled thermo-elasticity equation is presented. The ill-conditioned problem is solved here with the generalized finite difference method (GFDM) together with the first-order Tikhonov regularization technique and the L-curve criterion. The GFDM uses the Taylor series expansions and the moving least squares approximation to derive explicit formulae for the required partial derivatives of unknown variables. The method is truly meshless that can be applied for solving problems merely defined over irregular clouds of points. In addition, for problems involving complex geometries, a new distance criterion for adaptive selection of nodes in the GFDM simulations is proposed. Preliminary numerical experiments show that the regularized GFDM proposed in this study are very promising for accurate and efficient inverse thermo-elasticity simulations, even with a comparatively large level of noise added into the input data.
  • On structural topology optimization considering material nonlinearity:
           Plane strain versus plane stress solutions
    • Abstract: Publication date: Available online 1 March 2019Source: Advances in Engineering SoftwareAuthor(s): Heng Chi, Davi L. Ramos, Adeildo S. Ramos, Glaucio H. Paulino We present a structural topology optimization framework considering material nonlinearity by means of a tailored hyperelastic formulation. The nonlinearity is incorporated through a hyperelastic constitutive model, which is capable of capturing a range of nonlinear material behavior under both plane strain and plane stress conditions. We explore both standard (i.e. quadrilateral) and polygonal finite elements in the solution process, and achieve smooth convergence in both the optimization process and the solution of nonlinear state equations. Numerical examples are presented, which demonstrate that the topology optimization framework can effectively capture the influence of various material behaviors, load levels and loading conditions (i.e. plane stress versus plane strain) on the optimal topologies.
  • Improved PLS and PSO methods-based back analysis for elastic modulus of
    • Abstract: Publication date: Available online 27 February 2019Source: Advances in Engineering SoftwareAuthor(s): Lifu Yang, Huaizhi Su, Zhiping Wen The elastic modulus of dam body and dam foundation is the important mechanical parameter affecting the strength and stability of dam. According to dam monitoring data and numerical simulation, establishing the statistical model and the objective function, the improved particle swarm optimization (PSO) algorithm is applied to back analysis of elastic modulus of dam body and dam foundation. Firstly, based on backward elimination-partial least square (BE-PLS) method, the statistical model of dam deformation monitoring data is established, and the water load component is separated from monitoring data. Meanwhile, the finite element model (FEM) of the dam is built and the displacement field of the dam is calculated. Secondly, according to the difference between the FEM computations and the reading of the plumb-line, the relation between the two objects is deduced, and an accurate objective function is established. Thirdly, in the optimized back analysis, the PSO algorithm with modified parameters is used to search the optimal elastic modulus, and the rule of jumping out makes the algorithm avoid falling into the local solution. Finally, taking a gravity dam as an example, the results demonstrate that the statistical model established by BE-PLS has high fitting precision, and that the new PSO algorithm improves the global optimization ability and convergence speed and can avoid falling into the local solution. The optimized back analysis can obtain the elastic modulus of dam body and dam foundation with high accuracy.
  • A study of the novel vision guided IV trajectory tracking control system
           based on expected yaw velocity
    • Abstract: Publication date: Available online 23 February 2019Source: Advances in Engineering SoftwareAuthor(s): Ruochen Wang, Qing Ye, Yingfeng Cai, Xing Xu, Xiangpeng Meng, Chen Long A novel vision guided intelligent vehicle (IV) trajectory tracking control algorithm based on expected yaw velocity is proposed to compensate for traditional vision guided trajectory tracking controller limitations in robustness and trajectory tracking accuracy. In this paper, the structure and mechanism of trajectory tracking controller based on expected yaw velocity is briefly introduced at first. The designed trajectory tracking controller models of IV system are then derived through the dynamic models and motion models of IV by using Matlab/Simulink. Simulations under two different road conditions and different preview distances are used to validate the superiority of designed trajectory tracking controller in comparison with traditional vision guided trajectory tracking controller. The effectiveness of designed trajectory tracking controller has been verified by simulation results, in which the robustness and trajectory tracking accuracy of designed trajectory tracking controller has been improved significantly. Finally, the novel controller is designed based on Simulink results, and test results reconfirm that the partial performances of controller effectively.
  • A prototype framework for parallel visualization of large flow data
    • Abstract: Publication date: April 2019Source: Advances in Engineering Software, Volume 130Author(s): Zhanping Liu Scientific visualization seeks to provide deep insight into the complex pattern underlying big data, while flow visualization plays a crucial role in oceanographic-atmospheric modeling and computational fluid dynamics simulation. As an increasingly important strategy, parallel visualization incorporates data visualization with parallel computing by means of MPI (Message Passing Interface) to achieve efficient visual analysis to facilitate scientific study. This paper presents a prototype framework for parallel visualization of large flow data, involving MPI as the low-level parallel computing paradigm, DIY (Do It Yourself) as a block-oriented data-parallel programming library on top of MPI, OSUFlow as a geometry-based flow visualization engine, and VTK (Visualization Toolkit) for data input, graphics rendering, and scene interaction. It exposes the combined power of DIY and OSUFlow, including parallel yet seamless generation of streamlines as well as pathlines from vector data defined on Cartesian, rectilinear, and curvilinear grids, to a broad community of high-performance flow visualization through VTK. Preliminary results show that this framework is capable of exploiting the horsepower of a vast number of processors to accelerate data processing and visualization for explorative analysis of massive steady/unsteady volume flows.
  • The AMORE paradigm for finite element analysis
    • Abstract: Publication date: April 2019Source: Advances in Engineering Software, Volume 130Author(s): Klaus-Jürgen Bathe The objective in this paper is to largely review, but also give new insight into, the recent development of a novel paradigm for finite element analysis. The approach enables much easier meshing than usually performed for finite element analysis and then the computationally efficient solution of the finite element model. The important aspects of the paradigm are the automatic meshing on any given geometry (typically given by use of a CAD program or a computerized scan) with the use of overlapping and regular finite elements – hence the acronym AMORE for Automatic Meshing with Overlapping and Regular Elements. We summarize the basic steps used in the paradigm, give the basic equations to formulate the overlapping elements, discuss specific attributes, give some applications and conjecture on the further development and use of the solution scheme. Our discussion is based on previously published work with a focus on simplifying the formulation of the overlapping elements, providing novel insight, and suggesting a notation. The paradigm has so far only been applied in the linear analyses of solids, however embodies significant potential for general and wide use in computer-aided engineering.
  • Hybrid inversion method and sensitivity analysis of inherent deformations
           of welded joints
    • Abstract: Publication date: Available online 17 January 2019Source: Advances in Engineering SoftwareAuthor(s): Ruixiang Bai, Zhenfei Guo, Zhenkun Lei, Wen Wu, Cheng Yan In order to efficiently predict the welding deformation of large and complex welded structures based on the inherent deformation method, it is necessary to obtain the inherent deformations of each weld seam beforehand. In this paper, a new method was proposed to inverse inherent deformations by combining inherent deformation method and complex method. The validity of the proposed hybrid inversion method was proved by the comparison with the results of thermal-elastic-plastic (TEP) model the effectiveness of which had been demonstrated by the welding deformation and residual stress obtained from the butt-welded experiment. And the independence of the method on initial value is verified by inversion results using different initial complex shapes. Finally, the sensitivity analysis of inherent deformations was also carried out, and the analysis result shows that longitudinal shrinkage, transverse shrinkage and transverse curvature have a more significant effect on calculation accuracy than longitudinal curvature for the present welded plates.
  • LR B-Splines implementation in the Altair RadiossTM solver for explicit
           dynamics IsoGeometric Analysis
    • Abstract: Publication date: Available online 12 January 2019Source: Advances in Engineering SoftwareAuthor(s): M. Occelli, T. Elguedj, S. Bouabdallah, L. Morançay IsoGeometric Analysis has shown to be a very promising tool for an integrated design and analysis process. A challenging task is still to move IGA from a proof of concept to a convenient design tool for industry and this work contributes to this endeavor. This paper deals with the implementation of the IGA concept into Altair Radioss finite element solver in order to address crash and stamping simulation applications. To this end, the necessary ingredients to a smooth integration of IGA in a traditional finite element code have been identified and adapted to the existing code architecture. A solid B-Spline element has been developed in Altair Radioss and then, an existing contact interface has been extended in order to work seamlessly with both NURBS and Lagrange finite elements. As local refinement is needed for solution approximation, an analysis is made in terms of analysis suitability and implementation aspects for several Spline technologies. The Locally Refined B-Spline (LRBS) technology is implemented and is validated on industrial benchmarks, for validation cases conventionally used for industrial codes like stamping and drop test.
  • Implementing railway vehicle dynamics simulation in general-purpose
           multibody simulation software packages
    • Abstract: Publication date: Available online 8 January 2019Source: Advances in Engineering SoftwareAuthor(s): Zhao Tang, Xiaolin Yuan, Xin Xie, Jie Jiang, Jianjun Zhang In terms of simulation efficiency, modelling and visualization, general-purpose multibody simulation (GPMBS) software packages have a lot of inherent advantages compared with specialized railway vehicle dynamics simulation software packages. However, their application is limited due to the absence of specialized force elements and contact models, and thus cannot be directly employed for railway vehicle dynamics simulation. To deal with this issue, this paper proposes a novel framework to use GPMBS software packages to simulate the dynamic behavior of the railway vehicle. This framework contains a loose coupling method, a sub-mechanism feature and a top-down modelling method and allows users to take full advantage of the advanced functionalities of the GPMBS software packages to improve the efficiency of railway vehicle dynamics simulation. The feasibility of this framework is verified by integrating extensions for two representative GPMBS software packages. In addition, the two comparisons between the self-developed extensions (for LMS Virtual.Lab Motion and Unity3D) and the widely used specialized railway vehicle dynamics simulation software (Simpack and Universal Mechanism), further confirm the validity of the framework.
  • A combined radial basis function based interpolation method for
           fluid-structure interaction problems and its application on high-speed
    • Abstract: Publication date: Available online 6 January 2019Source: Advances in Engineering SoftwareAuthor(s): Weiyuan Dou, Lele Zhang, Geng Chen, Wenjie Zhu In fluid-structure interaction (FSI) problems, accuracy of the data transfer between fluid-structure interfaces is mainly attributed to the element type and discretization density of grids in both fluid and structure domains. To remedy the inaccuracy caused by the prevalently applied solo elemental node interpolation strategy, a novel interpolation method is proposed in the present study. The approach is based on the radial basis function and introduces a weight coefficient through which the centroid and nodes of an element are joined. This way, the interpolation will be conducted in accordance to a weighted summation of both terms. Before it is applied to practice relevant engineering examples, the validity of the formulated approach is first examined by simple 2D and further 3D case studies. Studies have clearly illustrated that, compared to pure element centroid or nodes based interpolation schemes, the established approach is insensitive to the pressure distribution. Meanwhile, in these cases the influence of selected basis functions and mesh densities have been examined in detail. Based on the knowledge gained from these case studies, it further investigated a problem emerged from high-speed trains in which the CFD simulation is validated by the field experiment and the task is to transfer data from the fluid domain to the structure domain. Result of the study shows that for the high speed train model considered which has complicated non-matching grids, the accuracy of data transfer in fluid-structure interaction is highly improved and the maximum of global relative error achieves 2.62%.
  • Behavior of parallel two-stage method for the simulation of steel
           solidification in continuous casting
    • Abstract: Publication date: Available online 30 December 2018Source: Advances in Engineering SoftwareAuthor(s): T. Garcia, P. Spiteri, G. Khenniche This paper presents the behavior of general parallel synchronous and asynchronous multisplitting and two-stage methods for the numerical simulation of steel solidification in continuous casting. Thanks to the mathematical analysis and the implementation of these methods one can show the results of parallel experiments for the target application. The mathematical model is constituted by coupled nonlinear boundary value problems, namely the heat equation taking into account, on part of the boundary, a radiation phenomenon described by the Stefan law. For the numerical solution of such partial differential equations we consider, depending on whether the coefficient of thermal conductivity is constant or temperature-dependent, both an implicit or a semi-implicit discretization with respect to the time of the studied evolution problem, while the spatial discretization is carried out by adapted finite difference schemes. Then large scale discretized algebraic systems are solved by sequential and synchronous or asynchronous iterative algorithms; comparison of these various previous methods implemented on clusters and grid are achieved in both cases when the thermal conductivity is constant and more generally dependent of the temperature.
  • Validation of a co-simulation approach for hydraulic percussion units
           applied to a hydraulic hammer
    • Abstract: Publication date: Available online 28 December 2018Source: Advances in Engineering SoftwareAuthor(s): H. Andersson, K. Simonsson, D. Hilding, M. Schill, E. Sigfridsson, D. Leidermark In this study, a previously developed co-simulation approach has been adopted to simulate the responses of an existing hydraulic hammer product. This approach is based on a 1D system model representing the fluid components and a 3D finite element model representing the structural parts of the hydraulic hammer. The simulation model was validated against four experiments with different running conditions. The corresponding set-ups were analysed using the co-simulation method in order to evaluate the overall responses. A parameter study was also performed involving the working pressure and the restrictor diameter, with the objective to validate that a parameter change in the simulation model will affect the input and output power in the same direction as in the experiments. The experimental responses used in the validation were time history data of fluid pressure, component position and acceleration, and structural stresses. The experiments result in high frequency and high amplitude excitations of the hydraulic hammer and thus require a model with a high resolution of the model dynamics. The conclusion of the validation is that the simulation model is able to replicate the experimental responses with high accuracy including the high frequency dynamics. The favourable outcome of the validation makes the described co-simulation approach promising as an efficient tool for a wide range of other applications where short time duration mechanisms need to be studied.
  • A new nodal outflow function for head-dependent modelling of water
           distribution networks
    • Abstract: Publication date: Available online 19 January 2007Source: Advances in Engineering SoftwareAuthor(s): T.T. Tanyimboh, A.B. TemplemanThis article has been removed consistent with Elsevier Policy on Article Withdrawal. The Publisher apologises for any inconvenience this may cause.
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