for Journals by Title or ISSN
for Articles by Keywords
  Subjects -> COMPUTER SCIENCE (Total: 2114 journals)
    - ANIMATION AND SIMULATION (31 journals)
    - ARTIFICIAL INTELLIGENCE (104 journals)
    - AUTOMATION AND ROBOTICS (105 journals)
    - COMPUTER ARCHITECTURE (10 journals)
    - COMPUTER ENGINEERING (11 journals)
    - COMPUTER GAMES (21 journals)
    - COMPUTER PROGRAMMING (26 journals)
    - COMPUTER SCIENCE (1228 journals)
    - COMPUTER SECURITY (49 journals)
    - DATA BASE MANAGEMENT (14 journals)
    - DATA MINING (37 journals)
    - E-BUSINESS (22 journals)
    - E-LEARNING (30 journals)
    - IMAGE AND VIDEO PROCESSING (40 journals)
    - INFORMATION SYSTEMS (108 journals)
    - INTERNET (94 journals)
    - SOCIAL WEB (53 journals)
    - SOFTWARE (34 journals)
    - THEORY OF COMPUTING (9 journals)

COMPUTER SCIENCE (1228 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: 23)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 29)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 16)
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: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 6)
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: 3)
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: 32)
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: 28)
Advanced Science Letters     Full-text available via subscription   (Followers: 11)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 7)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 4)
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: 14)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 56)
Advances in Engineering Software     Hybrid Journal   (Followers: 28)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 14)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 22)
Advances in Human-Computer Interaction     Open Access   (Followers: 20)
Advances in Materials Science     Open Access   (Followers: 14)
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: 50)
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: 12)
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: 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: 13)
Annals of Pure and Applied Logic     Open Access   (Followers: 3)
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: 3)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 13)
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: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 6)
Applied System Innovation     Open Access  
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: 147)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 8)
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 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: 5)
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)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 51)
Big Data and Cognitive Computing     Open Access   (Followers: 3)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 315)
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: 20)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 49)
British Journal of Educational Technology     Hybrid Journal   (Followers: 151)
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: 4)
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: 23)
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: 3)
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: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
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: 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: 31)
Computer     Full-text available via subscription   (Followers: 103)
Computer Aided Surgery     Open Access   (Followers: 6)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 16)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)

        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: 28  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0965-9978
Published by Elsevier Homepage  [3155 journals]
  • Construction of polyhedral finite element meshes based upon marching cube
    • Abstract: Publication date: February 2019Source: Advances in Engineering Software, Volume 128Author(s): Sangjun Kim, Dongwoo Sohn, Seyoung Im Hexahedral meshes that exhibit the superiority in terms of solution accuracy and convergence rate are preferred to other types of meshes in the finite element analysis. However, the construction of the hexahedral meshes for complex geometries is still considered troublesome due to their poor geometric adaptability. This paper presents an efficient grid-based scheme to automatically generate polyhedral meshes including the hexahedral elements, and thus to provide hexahedral-dominant meshes for three-dimensional geometry with complex shapes. On the basis of the marching cube algorithm with a background grid composed of a regular arrangement of cubes, surface topologies for the background cubes are defined to represent the three-dimensional boundaries of a given domain. Then, in order to generate a three-dimensional finite element mesh, the surface topologies of the marching cube algorithm are systematically expanded to polyhedral volume topologies. Meanwhile, a topology ambiguity problem inherent in the marching cube algorithm is effectively resolved to generate an appropriate polyhedral mesh even for an arbitrary complex geometry. Several examples including biostructure modeling demonstrate that the proposed mesh generation scheme can easily discretize complex three-dimensional domains with hexahedral-dominant meshes, which are composed of the polyhedral elements near the domain boundaries and the hexahedral elements that come from the background cubes inside the domains. Furthermore, to show the applicability and effectiveness of polyhedral meshes in the finite element analysis, some structural analyses are performed using the smoothed finite element method that can be straightforwardly adapted to polyhedral elements of arbitrary shape.
  • A two–step radial basis function-based CFD mesh displacement tool
    • Abstract: Publication date: February 2019Source: Advances in Engineering Software, Volume 128Author(s): Flavio Gagliardi, Kyriakos C. Giannakoglou Mesh displacement based on Radial Basis Functions (RBF) interpolation is known for its ability to preserve the validity and quality of the mesh, even for large displacements, without being affected by mesh connectivity. However, in the case of large meshes, such as those used in real-world Computational Fluid Dynamics (CFD) applications, RBF interpolation, in its standard formulation, becomes excessively expensive. This paper proposes a cost reduction technique for mesh displacement based on RBF, by splitting the process into two steps. In the first step, named predictor, a data reduction algorithm that adaptively agglomerates mesh boundary nodes by reducing the RBF interpolation problem size is used. Upon completion of the first step, due to the agglomeration and the fact that the RBF interpolation is applied to the boundary nodes too, the so-displaced boundaries do not match the given displacements; thus, the position of the boundary nodes must be corrected during the second step, named corrector. The latter performs a local deformation based on RBF kernels with local support, to make the boundary conform to the known displacements of its nodes. The proposed method is accelerated by employing the Sparse Approximate Inverse preconditioner based on geometrical considerations and the Fast Multipole Method. The method and the programmed software are validated on three test cases related to the deformation of CFD meshes inside a duct and a turbine stator row as well as around a car model.
  • CUPyDO - An integrated Python environment for coupled fluid-structure
    • Abstract: Publication date: February 2019Source: Advances in Engineering Software, Volume 128Author(s): D. Thomas, M.L. Cerquaglia, R. Boman, T.D. Economon, J.J. Alonso, G. Dimitriadis, V.E. Terrapon CUPyDO, a fluid-structure interaction (FSI) tool that couples existing independent fluid and solid solvers into a single synchronization and communication framework based on the Python language is presented. Each coupled solver has to be wrapped in a Python layer in order to embed their functionalities (usually written in a compiled language) into a Python object, that is called and used by the coupler. Thus a staggered strong coupling can be achieved for time-dependent FSI problems such as aeroelastic flutter, vortex-induced vibrations (VIV) or conjugate heat transfer (CHT). The synchronization between the solvers is performed with the predictive block-Gauss-Seidel algorithm with dynamic under-relaxation. The tool is capable of treating non-matching meshes between the fluid and structure domains and is optimized to work in parallel using Message Passing Interface (MPI). The implementation of CUPyDO is described and its capabilities are demonstrated on typical validation cases. The open-source code SU2 is used to solve the fluid equations while the solid equations are solved either by a simple rigid body integrator or by in-house linear/nonlinear Finite Element codes (GetDP/Metafor). First, the modularity of the coupling as well as its ease of use is highlighted and then the accuracy of the results is demonstrated.
  • Valencia bridge fire tests: Validation of simplified and advanced
           numerical approaches to model bridge fire scenarios
    • Abstract: Publication date: February 2019Source: Advances in Engineering Software, Volume 128Author(s): J. Alos-Moya, I. Paya-Zaforteza, A. Hospitaler, E. Loma-Ossorio Bridge fires are a major concern and the subject of many studies that use numerical models. However, experimental studies are still required to test the validity of these numerical models and improve their accuracy. This paper uses temperature results of the Valencia bridge fire tests carried out at the Universitat Politècnica de València, in Valencia (Spain) to calibrate the fire models that constitute the first step in modeling any bridge fire event. The calibration is carried out by both a simplified approach (Heskestad and Hamada's correlation) and advanced numerical models (Computational Fluid Dynamics models built with the Fire Dynamics Simulator –FDS- software).The Valencia bridge fire tests involved four fire scenarios under a composite bridge with Heat Release Rate (HRR) values between 361 and 1352 kW. The results show that applying Heskestad and Hamada's correlation gave good results when used within its limits of application (HRR 
  • Vibration control of an active vehicle suspension systems using optimized
           model-free fuzzy logic controller based on time delay estimation
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Ghazally I.Y. Mustafa, H.P. Wang, Yang Tian This paper presents a new model-free fuzzy logic controller based on particle swarm optimization (PSO-MFFLC) for the nonlinear active suspension systems. The proposed method comprises the model-free based intelligent PID controller, the fuzzy logic controller, the time-delay estimation, and the particle swarm optimization. The advantage of PSO-MFFLC is quite simple structure and easy to be regulated. To validate the proposed controller, the nonlinear active suspension systems with non-linearity such as the parameters variation, external disturbance, and friction force effect are simultaneously taking into account to provide a realistic framework. The control objective is to deal with the classical conflict between minimizing vertical chassis acceleration to increase the ride comfort and keeping the dynamic wheel load small in order to ensure the ride safety. Moreover, modeling performed using a virtual detailed simulation environment LMS-AMESim, while the control part configured on Matlab/Simulink. Finally, the comparison of PSO-MFFLC with a classical PID, intelligent PID and the time-delay estimation control (TDEC) is conducted for different roads disturbances.
  • Simultaneous path following and lateral stability control of 4WD-4WS
           autonomous electric vehicles with actuator saturation
    • Abstract: Publication date: February 2019Source: Advances in Engineering Software, Volume 128Author(s): Te Chen, Long Chen, Xing Xu, Yingfeng Cai, Xiaoqiang Sun A simultaneous path following and lateral stability control method was presented for four-wheel independent drive and four-wheel independent steering (4WD-4WS) autonomous electric vehicles based on Hamilton energy function with the actuator saturation being considered in this paper. The hierarchical control strategy including upper layer controller and lower layer controller is used for simultaneous path following and lateral stability control. In the upper layer controller, the vehicle motion controller is designed using Hamilton energy function control theory and the convergence and stability of controller was proved, the control demand of simultaneous path following and lateral stability was obtained and messaged to the lower layer controller. In the lower layer controller, the orientated tire force allocation method was used to execute the control demand by real-time tire force allocation control of four wheels. The simulations are performed in the CarSim-Simulink co-simulation platform, and the effectiveness of proposed control method was verified.
  • Study on stress relaxation of simple spiral strand subjected to tensile
           load based on semi-analytical method
    • Abstract: Publication date: February 2019Source: Advances in Engineering Software, Volume 128Author(s): Manman Zhang, Jing He, Fanming Meng, Xiansheng Gong Based on the structural characteristics of the simple spiral strand, the stress relaxation of the strand subjected to tensile load is studied with the semi-analytical method (SAM). In doing so, using the creep and relaxation theories, and elastic theory, the stress relaxation model for the strand is established, into which the Poisson's ratio effect, interwire contact deformation and space spiral contact between wires are incorporated. Meanwhile, the proposed model is validated. Then, the stress relaxation behaviors of the strand are solved with the SAM, in which the conjugate gradient method (CGM) and fast Fourier transform (FFT) are employed for analyzing the contact behavior of the strand. The numerical results show that decreasing the axial tensile strain and the helix angle, and increasing the outside wire diameter are all beneficial to reducing the creep strain and axial stress of the strand. But the latter dealing brings out increments in the contact deformation and contact pressure.
  • A fast calculation method of rolling times in the GNSS real-time
           compaction quality supervisory system
    • Abstract: Publication date: February 2019Source: Advances in Engineering Software, Volume 128Author(s): Shengxiang Huang, Wen Zhang The GNSS (Global Navigation Satellite System) real-time compaction quality supervisory system realizes the on-site quality control and process control for the construction quality of the roller compaction for filling engineering. According to the need of the GNSS real-time supervisory system in how to calculate the rolling times quickly and accurately, as well as the characteristics of the rolling track in the construction, a new method is put forward as follows: keeping the real rolling track width information, superimposing the transparent band plotted at scale and calculating the rolling times of every pixel in the image by using the alpha blending algorithm in computer graphics. In this paper, the fast calculation method of rolling times based on alpha blending algorithm will be introduced in detail. Comparing with the conventional method of grid, experiment and application results show that the new method is simple, fast and precise, that the graph of rolling figure can be fine at pixel level, making the calculation of rolling times real-time and accurate.
  • Steps to increase practical applicability of PragTic software
    • Abstract: Publication date: Available online 24 November 2018Source: Advances in Engineering SoftwareAuthor(s): Jiří Tomčala, Jan Papuga, David Horák, Václav Hapla, Marek Pecha, Martin Čermák This paper describes various methods for increasing the computational speed of an existing fatigue solver called PragTic. The paper describes the basic workflow of computational fatigue analysis, including multiaxial fatigue analysis as well. It documents some of the inefficiencies of the original PragTic version, and parallelization and scalability testing of the parallelized PragTic in three different case studies. These studies include a simple model example (hundreds of nodes) and a real world example (millions of nodes). The implemented parallelization techniques are tested using numerical experiments to demonstrate their parallel scalability. As an output of a unique analysis, the number of necessary and feasible evaluated planes in multiaxial analyses is monitored, and the outcome favoring integral methods for the multiaxial fatigue analysis is commented.
  • An interval finite element method for the analysis of structures with
           spatially varying uncertainties
    • Abstract: Publication date: February 2019Source: Advances in Engineering Software, Volume 128Author(s): Alba Sofi, Eugenia Romeo, Olga Barrera, Alan Cocks Finite element analysis of linear-elastic structures with spatially varying uncertain properties is addressed within the framework of the interval model of uncertainty. Resorting to a recently proposed interval field model, the uncertain properties are expressed as the superposition of deterministic basis functions weighted by particular unitary intervals. An Interval Finite Element Method (IFEM) incorporating the interval field representation of uncertainties is formulated by applying an interval extension in conjunction with the standard energy approach. Uncertainty propagation analysis is performed by adopting a response surface approach which provides approximate explicit expressions of response bounds requiring only a few deterministic analyses. Then, the whole procedure is implemented in ABAQUS’ environment by coding User Subroutines and Python scripts.2D plane stress and bending problems involving uncertain Young's modulus of the material are analyzed. The accuracy of the proposed IFEM as well as response variability under spatially dependent uncertainty are investigated.
  • Phase field crack model with diffuse description for fracture problem and
           implementation in engineering applications
    • Abstract: Publication date: Available online 23 November 2018Source: Advances in Engineering SoftwareAuthor(s): She Li, Li Tian, Xiangyang Cui In this work, the phase-field modeling is formulated in the framework of cell-based smoothed finite element method for predicting the crack propagation in solids. Unlike the description of cracks as sharp surfaces, an exponential function is introduced to approximate the diffuse crack topology. The order parameter with continuous values changes from 0 to 1, which is employed to distinguish the broken and unbroken materials. The present modeling for crack propagation links damage and fracture mechanics. Every node on each element has two (or three) displacement and one phase-field DOFs. Cell-based smoothed finite element method is employed to solve the coupled elastic displacement and phase-field fracture problem. Several numerical tests are employed to validate the feasibility of present modeling. Numerical results obtained by the proposed modeling are in good accordance with the analytic one or the other methods. Meanwhile, the method can be easily embedded in the commercial software ABAQUS with user defined subroutines. In order to offer convenience for engineers, a user-friendly interface for ABAQUS is established based on Qt. One can establish input file conveniently without professional knowledge. Its attractive features produce potential for further study.
  • Solution of structural and mathematical optimization problems using a new
           hybrid swarm intelligence optimization algorithm
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Ali Mortazavi, Vedat Toğan, Mahsa Moloodpoor In this investigation a new optimization algorithm named as interactive search algorithm (ISA) is presented. This method is developed through modifying and hybridizing the affirmative features of recently developed integrated particle swarm optimization (iPSO) algorithm with the pairwise knowledge sharing mechanism of the teaching and learning based optimization (TLBO) method. Proposed ISA provides two different navigation schemes as Tracking and Interacting. Each agent based on its tendency factor can pick one of these two schemes for searching the domain. Additionally, ISA utilizes an improved fly-back technique to handle problem constraints. The proposed method is tested on a set of mathematical and structural optimization benchmark problems with discrete and continuous variables. Numerical results indicate that the new algorithm is competitive with other well-stablished metaheuristic algorithms.
  • Quantitative evaluation of overlaying discrepancies in mobile augmented
           reality applications for AEC/FM
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Valentin GOMEZ-JAUREGUI, Cristina MANCHADO, Jesús DEL-CASTILLO-IGAREDA, Cesar OTERO Augmented Reality (AR) is a trending technology that provides a live view of the real and physical environment augmented by virtual elements, enhancing the information of the scene with digital information (sound, video, graphics, text or geo-location). Its application to architecture, engineering and construction, and facility management (AEC/FM) is straightforward and can be very useful to improve the on-site work at different stages of the projects. However, one of the most important limitations of Mobile Augmented Reality (MAR) is the lack of accuracy when the screen overlays the virtual models on the real images captured by the camera. The main reasons are errors related to tracking (positioning and orientation of the mobile device) and image capture and processing (projection and distortion issues).This paper shows a new methodology to mathematically perform a quantitative evaluation, in world coordinates, of those overlaying discrepancies on the screen, obtaining the real-scale distances from any real point to the sightlines of its virtual projections for any AR application. Additionally, a new utility for filtering built-in sensor signals in mobile devices is presented: the Drift-Vibration-Threshold function (DVT), a straightforward tool to filter the drift suffered by most sensor-based tracking systems.
  • Software for the verification of Timoshenko beam finite elements
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): David Day The classic paper Han et al. Dynamics of transversely vibrating beams using four engineering theories, Journal of Sound and Vibration, 225, 1999, sets up the continuation problem that determines the exact vibrational frequencies and mode shapes of prismatic Timoshenko beams. This article presents a portable implementation of a solver for the problem.In order to reliably compute a complete set of modes, without redundancies, it is crucial to formulate the frequency equation as a continuation problem. The continuation problem is solved for a thickness parameter starting from zero thickness (the Euler beam), and increasing up to the finite thickness of interest. The continuation problem has a bifurcation point, at which a wave number variable passes from real to a purely imaginary value. For finite thickness, the continuation problem for all sufficiently high frequency modes crosses through this bifurcation. Han et al.[7] solve the continuation problem using an unspecified differential equation solver, and dummyTXdummy- do not discuss accuracy. Here a solution of the continuation problem using pseudoarclength continuation is presented. This article presents a description of how to compute this singularity exactly, and develops software that maintains full working precision. Furthermore the details of the computation of the mode shapes from the frequencies are presented for free-free, clamped-clamped and clamped-free boundary conditions. The source code is available under a MIT license from github in the TimoshenkoBeamEigenvalues repository.
  • A view-based 3D CAD model reuse framework enabling product lifecycle reuse
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Chao Zhang, Guanghui Zhou 3D CAD models have great significances for product lifecycle reuse as each model aggregates abundant knowledge in a vivid 3D CAD model and enables engineers to reuse the existing mature designs from a high-level perspective. The effective reuse of the pre-existing 3D CAD models could greatly save time and cost in new product development. Consequently, this paper proposes a novel view-based 3D CAD model reuse framework, which supports the effective reuse of 3D CAD models throughout the new product lifecycle by a deep learning approach. In this framework, each 3D CAD model is first represented by a series of orthogonal two-dimensional views, which contain rich spatial information for differentiating 3D CAD models. Then, we define the problem of model retrieval as a view recognition problem, where a deep residual network (ResNet) is successfully trained to facilitate the view-based 3D CAD model retrieval. With the learned ResNet, engineers could take the understandable views of a model that represent their query intents as input and acquire the relevant 3D CAD models for product lifecycle reuse. Finally, the typical application scenario demonstrates the feasibility of the proposed framework, and the evaluation experiments show the superiorities of ResNet used in this framework.
  • Relating structural test and FEA data with STEP AP209
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): R. Lanza, J. Haenisch, K. Bengtsson, T. Rølvåg This paper proposes a method for incorporating FEA data and structural test data into one common standardized data model based on the ISO 10303 STEP Standard [1]. The proposed method takes advantage of data structures and elements defined in STEP AP209 Edition 2 [2] to provide traceability between analysis and testing phases; information such as sensor and finite elements, test and FEA load cases, and test and FEA results are included. It also presents an introduction to STEP and AP209e2, and discusses how it can be used in a Simulation Data Management environment.
  • Tools and techniques for building models for isogeometric analysis
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Anna Perduta, Roman Putanowicz Isogeometric Analysis (IGA) is a new computer method that has gained much attention in recent years. Its distinguishing feature is the use of parametric representation of curves, surfaces and solids, based on Non-Uniform Rational B-Splines, which are also used as shape functions in Galerkin approximation schemes. NURBS are commonly used in CAD modelling packages, thus among other advantages IGA facilitates use of CAD models as geometric domains for solving Boundary Value Problems. IGA is a relatively young method and despite its popularity there still is a small number of tools available, especially in comparison with Finite Element Method. This is notably nagging issue in case of tools for preparing geometric models for IGA. In this paper we discuss several popular tools and tricks that can be used in place of dedicated IGA preprocessor. The presented techniques can be particularly useful for researchers interested in starting work in IGA field, as they can speed up generation of comprehensive models and are incentive for data sharing, an important point from research reproducibility perspective.
  • Prediction of dynamic properties of ultra-high performance concrete by an
           artificial intelligence approach
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Mohammad Reza Khosravani, Sara Nasiri, Denis Anders, Kerstin Weinberg Significant advances in new generation of concrete led to construction of ultra-high performance concrete (UHPC). Since the demands of this engineering cementitious material have been increased, investigation on mechanical behaviour of this material is an interesting topic in today’s research programs. Over the years, strain-rate sensitive behavior of UHPC material has been studied by experimental tests. In the current research, an artificial intelligence (AI) system is implemented which can predict dynamic mechanical properties of UHPCs constructed by various mixtures. This system is able to predict elastic modulus, compressive strength and tensile strength, all under high rate of loading. The system is developed within the framework of case-based reasoning (CBR) methodology as a problem-solving AI method. CBR is a learning methodology which utilizes similar previous cases to solve particular new problems. In this paper, case-base of the implemented system is enriched by a literature study of numerous researches which tested various UHPCs. The proposed intelligent system has been applied to reduce human expert dependency and avoid time consuming experimental tests. The implemented system is evaluated by available results from experiments under high rate of loading.
  • An efficient and automated method to generate complex blade geometries for
           numerical analysis
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Arturo Delgado-Gutiérrez, Diego Cárdenas, Oliver Probst This paper presents an efficient and automated algorithm for the generation of straight and curved blades, as used in horizontal- and vertical-axis wind turbines. A single B-spline surface with both structural and aerodynamic zones is constructed, based on Non-Uniform B-splines Functions. The overall process of the approximation of both 2D blade airfoils and 3D blade surfaces is presented. The main algorithm is designed to construct a detailed B-spline surface, minimizing the segmentation data of the blade and the number of control points needed. A comparison between uniform and non-uniform B-splines blades is conducted using strain energy analysis. Additionally, the Double Reflection Method is implemented as a Rotation Minimizing Frame for a robust transformation of a 3D straight blade into a curved blade, following an arbitrary 3D pole curve. The final output of the main algorithm is a low-resolution control mesh that can regenerate a high-resolution 3D curved NURBS blade. The novel method is designed as a pre-step for numerical analysis, such as classical Finite Element Method and Isogeometric Analysis.
  • Push-pull direct modeling of solid CAD models
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Qiang Zou, Hsi-Yung Feng Direct modeling is a very recent CAD modeling paradigm featuring direct, intuitive push-pull interactions with the geometry of the model to much increase model editing flexibility. The major issue for push-pull direct modeling is the possible inconsistency between the altered geometry of the model and its unchanged topology. The challenge of resolving the geometry-topology inconsistency lies in ensuring that the resulting model remains as a valid solid model and that the model shape follows a continuous change pattern. Although push-pull direct modeling has been implemented in several CAD software packages, robustness towards generating valid modeling results and continuous shape changes still remains an open issue. This paper proposes a systematic method to handle the resolution of any possible inconsistent situation. The method formulates the continuous shape change requirement as successive Boolean operations on the model volume, thereby guaranteeing valid solid models and continuous shape changes. Further, this formulation allows an easy implementation of push-pull direct modeling using existing CAD research and engineering results. In order to show the effectiveness of the proposed method, a software prototype is developed and the modeling results are compared with those of five leading CAD software packages.
  • A Schur-complement model-order-reduction technique for the finite element
           solution of transient elastohydrodynamic lubrication problems
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): W. Habchi The current work presents a reduced order finite element modeling framework for the solution of transient elastohydrodynamic lubrication (EHL) problems. The model order reduction technique is based on a Schur-complement method, applied to the elastic part within EHL problems. As such, it is exact and introduces no additional errors to the solution, with respect to the standard non-reduced finite element model. The technique reduces by one, the dimension of the linear elasticity part within the EHL problem. The use of the Schur-complement method however leads to a semi-dense Jacobian matrix. This is why the technique is complemented with a splitting procedure, allowing it to retrieve a standard finite-element-like sparsity pattern. In terms of computational performance, it is shown through a set of numerical experiments that the proposed reduced model offers a speed-up in computational times of the order of 15:1, compared to the equivalent full model, without any compromise on the accuracy of the solution.
  • Numerical simulation on fracture resistance and factors affecting
           toughness for welded joint of low-alloy steel
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Longfei Zhao, Xiangyu Guo, Haichao Cui, Fenggui Lu Crack propagation resistance for welded joint was numerically simulated by ABAQUS software, where compact tensile (CT) specimens with different thickness and depth of side groove were taken to discuss the variation and reliability of results. It is found that the critical fracture toughness Jc increases with the thickness and then decreases gradually to the plane strain fracture toughness. The equivalent thickness Beq was put forward by numerical simulation. Strain energy density and the volume of plastic deformation zone were calculated to explain the effect of thickness on Jc based on the theory of energy dissipation. The simulated results revealed that another critical geometry factor like the depth of side groove up to 25% of total thickness contributed to a smaller J integral distribution gradient. The CT specimen with suitable geometry size was obtained according to the numerical results, which helps in guiding the experimental test of fracture toughness. The simulation results of fracture resistance demonstrate a good consistency with experiments, showing that numerical model is of high reliability, and stable Jc could be achieved at suitable specimen size.Graphical abstractImage, graphical abstract
  • A method for analyzing stability of tower-line system under strong winds
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Bo He, Mingxi Zhao, Wentao Feng, Yaping Xiu, Yu Wang, Lijun Feng, Yongjian Qin, Chukun Wang Typhoon is a kind of bad weather affecting the safety of overhead transmission lines seriously. In recent years, mechanical failures, such as tower collapse and strand breakage from strong winds, have frequently occurred in coastal typhoon-prone areas in China. From the view of mechanics, the transmission lines should be considered as a tower-line coupling system entirety and dynamic loads should be taken into account. However, existing design specifications are insufficient for the consideration of dynamic loads. To analyze the stability of the tower-line system, the wind-induced response of the system was evaluated-with the tower-line coupling considered-by finite element modeling, and an effective method was introduced. Firstly, a finite element model containing three towers and two line segments was set up in accordance with actual transmission lines having a disaster history of strong wind. Secondly, static and dynamic wind loads were applied to the model, and the stress distribution was simulated. Thirdly, the relationship among the largest stress value, wind speed and wind direction was established, and the stability limit of the transmission line was evaluated. The method showed good efficiency in evaluating the mechanical properties of the tower-line coupling system under strong wind conditions, and the results are consistent with accident records.
  • A novel principal components analysis (PCA) method for energy absorbing
           structural design enhanced by data mining
    • Abstract: Publication date: January 2019Source: Advances in Engineering Software, Volume 127Author(s): Xianping Du, Feng Zhu A PCA based structural design methodology is proposed and applied to the vehicle structure crashworthiness design. The aim of this approach is to develop structures with complex geometry to satisfy the energy absorbing design requirements using reduced number of design variables. This method is assisted by data mining technique to discover the implicit interrelationship of these variables and generate corresponding design rules. In this approach, the surface of structure is described by the control points, in the form of non-uniform rational basis spline (NURBS). The large control point dataset is compressed using PCA technique, which is able to reduce high-dimensional data by expressing them with a set of linearly uncorrelated orthogonal basis, i.e. Principal Components (PCs), together with corresponding Principal Components Scores (PCSs). By changing the value of the PCSs, the geometry of the part can be modified. Through this process, instead of directly handling a huge number of geometry control points, one can perform the design by adjusting the values of a small number of PCSs, and thus the computational cost is significantly reduced. As a case study, the vehicle frontal side rail (known as an S-shaped beam) is designed using this method. After the design is complete, a data mining process is performed, to explore the implicit interrelationship between design variables (i.e. PCSs), and generate design rules to guide the design procedure. The results suggest that the PCA approach can be used to design a complicated structure with irregular shape effectively and efficiently, and overcome the weakness of conventional design methods, i.e. limited capability of handling high-dimensional design variables and big design datasets. The subsequent data mining process enhances the design procedure by revealing some critical interrelations between parameters and generating design rules for practical applications.
  • Path-following interior point method: Theory and applications for the
           Stokes flow with a stick-slip boundary condition
    • Abstract: Publication date: Available online 8 July 2018Source: Advances in Engineering SoftwareAuthor(s): Tomáš Brzobohatý, Marta Jarošová, Radek Kučera, Václav Šátek A path-following interior point method is proposed for minimization of quadratic functions subject to box and equality constraints. The problems with the singular Hessian that is symmetric, positive definite on the null space of the equality constraint matrix are considered. The inner linear systems are solved by the projected conjugate gradient method preconditioned by oblique projectors. Numerical experiments include large-scale problems arising from the TFETI domain decomposition method applied for solving the Stokes flow with the stick-slip boundary condition.
  • 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.
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
Home (Search)
Subjects A-Z
Publishers A-Z
Your IP address:
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-