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  Subjects -> ENGINEERING (Total: 2266 journals)
    - CHEMICAL ENGINEERING (190 journals)
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ENGINEERING (1197 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 1205 Journals sorted alphabetically
3 Biotech     Open Access   (Followers: 7)
3D Research     Hybrid Journal   (Followers: 19)
AAPG Bulletin     Full-text available via subscription   (Followers: 5)
AASRI Procedia     Open Access   (Followers: 14)
Abstract and Applied Analysis     Open Access   (Followers: 3)
Aceh International Journal of Science and Technology     Open Access   (Followers: 2)
ACS Nano     Full-text available via subscription   (Followers: 207)
Acta Geotechnica     Hybrid Journal   (Followers: 6)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 5)
Acta Polytechnica : Journal of Advanced Engineering     Open Access   (Followers: 1)
Acta Scientiarum. Technology     Open Access   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Active and Passive Electronic Components     Open Access   (Followers: 7)
Adaptive Behavior     Hybrid Journal   (Followers: 10)
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi     Open Access  
Adsorption     Hybrid Journal   (Followers: 4)
Advanced Engineering Forum     Full-text available via subscription   (Followers: 4)
Advanced Science     Open Access   (Followers: 4)
Advanced Science Focus     Free   (Followers: 3)
Advanced Science Letters     Full-text available via subscription   (Followers: 4)
Advanced Science, Engineering and Medicine     Partially Free   (Followers: 6)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 17)
Advances in Artificial Neural Systems     Open Access   (Followers: 3)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Complex Systems     Hybrid Journal   (Followers: 7)
Advances in Engineering Software     Hybrid Journal   (Followers: 25)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 14)
Advances in Fuzzy Systems     Open Access   (Followers: 5)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 9)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 18)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 22)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 7)
Advances in Natural Sciences: Nanoscience and Nanotechnology     Open Access   (Followers: 28)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in OptoElectronics     Open Access   (Followers: 5)
Advances in Physics Theories and Applications     Open Access   (Followers: 13)
Advances in Polymer Science     Hybrid Journal   (Followers: 40)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 34)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Aerobiologia     Hybrid Journal   (Followers: 1)
African Journal of Science, Technology, Innovation and Development     Hybrid Journal   (Followers: 4)
AIChE Journal     Hybrid Journal   (Followers: 28)
Ain Shams Engineering Journal     Open Access   (Followers: 5)
Akademik Platform Mühendislik ve Fen Bilimleri Dergisi     Open Access  
Alexandria Engineering Journal     Open Access  
AMB Express     Open Access   (Followers: 1)
American Journal of Applied Sciences     Open Access   (Followers: 28)
American Journal of Engineering and Applied Sciences     Open Access   (Followers: 11)
American Journal of Engineering Education     Open Access   (Followers: 9)
American Journal of Environmental Engineering     Open Access   (Followers: 16)
American Journal of Industrial and Business Management     Open Access   (Followers: 23)
Analele Universitatii Ovidius Constanta - Seria Chimie     Open Access  
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Regional Science     Hybrid Journal   (Followers: 7)
Annals of Science     Hybrid Journal   (Followers: 7)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applicable Analysis: An International Journal     Hybrid Journal   (Followers: 1)
Applied Catalysis A: General     Hybrid Journal   (Followers: 5)
Applied Catalysis B: Environmental     Hybrid Journal   (Followers: 6)
Applied Clay Science     Hybrid Journal   (Followers: 4)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 3)
Applied Nanoscience     Open Access   (Followers: 8)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Physics Research     Open Access   (Followers: 4)
Applied Sciences     Open Access   (Followers: 3)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Arabian Journal for Science and Engineering     Hybrid Journal   (Followers: 5)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Archives of Foundry Engineering     Open Access  
Archives of Thermodynamics     Open Access   (Followers: 8)
Arkiv för Matematik     Hybrid Journal   (Followers: 1)
ASEE Prism     Full-text available via subscription   (Followers: 2)
Asian Engineering Review     Open Access  
Asian Journal of Applied Science and Engineering     Open Access   (Followers: 1)
Asian Journal of Applied Sciences     Open Access   (Followers: 2)
Asian Journal of Biotechnology     Open Access   (Followers: 7)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Current Engineering & Maths     Open Access  
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 9)
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
ATZagenda     Hybrid Journal  
ATZextra worldwide     Hybrid Journal  
Australasian Physical & Engineering Sciences in Medicine     Hybrid Journal   (Followers: 1)
Australian Journal of Multi-Disciplinary Engineering     Full-text available via subscription   (Followers: 2)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 7)
Avances en Ciencias e Ingeniería     Open Access  
Balkan Region Conference on Engineering and Business Education     Open Access   (Followers: 1)
Bangladesh Journal of Scientific and Industrial Research     Open Access  
Basin Research     Hybrid Journal   (Followers: 3)
Batteries     Open Access   (Followers: 3)
Bautechnik     Hybrid Journal   (Followers: 1)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 24)
Beni-Suef University Journal of Basic and Applied Sciences     Open Access   (Followers: 3)
BER : Manufacturing Survey : Full Survey     Full-text available via subscription   (Followers: 2)
BER : Motor Trade Survey     Full-text available via subscription   (Followers: 1)
BER : Retail Sector Survey     Full-text available via subscription   (Followers: 2)
BER : Retail Survey : Full Survey     Full-text available via subscription   (Followers: 2)
BER : Survey of Business Conditions in Manufacturing : An Executive Summary     Full-text available via subscription   (Followers: 3)
BER : Survey of Business Conditions in Retail : An Executive Summary     Full-text available via subscription   (Followers: 3)
Bharatiya Vaigyanik evam Audyogik Anusandhan Patrika (BVAAP)     Open Access   (Followers: 1)
Biofuels Engineering     Open Access  
Biointerphases     Open Access   (Followers: 1)
Biomaterials Science     Full-text available via subscription   (Followers: 8)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering Letters     Hybrid Journal   (Followers: 5)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 16)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 31)
Biomedical Engineering: Applications, Basis and Communications     Hybrid Journal   (Followers: 5)
Biomedical Microdevices     Hybrid Journal   (Followers: 8)
Biomedical Science and Engineering     Open Access   (Followers: 4)
Biomedizinische Technik - Biomedical Engineering     Hybrid Journal  
Biomicrofluidics     Open Access   (Followers: 4)
BioNanoMaterials     Hybrid Journal   (Followers: 1)
Biotechnology Progress     Hybrid Journal   (Followers: 39)
Boletin Cientifico Tecnico INIMET     Open Access  
Botswana Journal of Technology     Full-text available via subscription  
Boundary Value Problems     Open Access   (Followers: 1)
Brazilian Journal of Science and Technology     Open Access   (Followers: 2)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
Bulletin of Canadian Petroleum Geology     Full-text available via subscription   (Followers: 14)
Bulletin of Engineering Geology and the Environment     Hybrid Journal   (Followers: 3)
Bulletin of the Crimean Astrophysical Observatory     Hybrid Journal  
Cahiers, Droit, Sciences et Technologies     Open Access  
Calphad     Hybrid Journal  
Canadian Geotechnical Journal     Full-text available via subscription   (Followers: 14)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 40)
Case Studies in Engineering Failure Analysis     Open Access   (Followers: 7)
Case Studies in Thermal Engineering     Open Access   (Followers: 4)
Catalysis Communications     Hybrid Journal   (Followers: 6)
Catalysis Letters     Hybrid Journal   (Followers: 3)
Catalysis Reviews: Science and Engineering     Hybrid Journal   (Followers: 8)
Catalysis Science and Technology     Free   (Followers: 6)
Catalysis Surveys from Asia     Hybrid Journal   (Followers: 3)
Catalysis Today     Hybrid Journal   (Followers: 5)
CEAS Space Journal     Hybrid Journal  
Cellular and Molecular Neurobiology     Hybrid Journal   (Followers: 4)
Central European Journal of Engineering     Hybrid Journal   (Followers: 1)
CFD Letters     Open Access   (Followers: 6)
Chaos : An Interdisciplinary Journal of Nonlinear Science     Hybrid Journal   (Followers: 2)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chinese Journal of Engineering     Open Access   (Followers: 2)
Chinese Science Bulletin     Open Access   (Followers: 1)
Ciencia e Ingenieria Neogranadina     Open Access  
Ciencia en su PC     Open Access   (Followers: 1)
Ciencias Holguin     Open Access   (Followers: 1)
CienciaUAT     Open Access  
Cientifica     Open Access  
CIRP Annals - Manufacturing Technology     Full-text available via subscription   (Followers: 10)
CIRP Journal of Manufacturing Science and Technology     Full-text available via subscription   (Followers: 13)
City, Culture and Society     Hybrid Journal   (Followers: 20)
Clay Minerals     Full-text available via subscription   (Followers: 9)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
Coal Science and Technology     Full-text available via subscription   (Followers: 4)
Coastal Engineering     Hybrid Journal   (Followers: 10)
Coastal Engineering Journal     Hybrid Journal   (Followers: 3)
Coatings     Open Access   (Followers: 2)
Cogent Engineering     Open Access   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 4)
Color Research & Application     Hybrid Journal   (Followers: 1)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Combustion, Explosion, and Shock Waves     Hybrid Journal   (Followers: 13)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Numerical Methods in Engineering     Hybrid Journal   (Followers: 2)
Components, Packaging and Manufacturing Technology, IEEE Transactions on     Hybrid Journal   (Followers: 23)
Composite Interfaces     Hybrid Journal   (Followers: 5)
Composite Structures     Hybrid Journal   (Followers: 241)
Composites Part A : Applied Science and Manufacturing     Hybrid Journal   (Followers: 174)
Composites Part B : Engineering     Hybrid Journal   (Followers: 215)
Composites Science and Technology     Hybrid Journal   (Followers: 160)
Comptes Rendus Mécanique     Full-text available via subscription   (Followers: 2)
Computation     Open Access  
Computational Geosciences     Hybrid Journal   (Followers: 12)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 6)
Computer Science and Engineering     Open Access   (Followers: 17)
Computers & Geosciences     Hybrid Journal   (Followers: 25)
Computers & Mathematics with Applications     Full-text available via subscription   (Followers: 5)
Computers and Electronics in Agriculture     Hybrid Journal   (Followers: 4)
Computers and Geotechnics     Hybrid Journal   (Followers: 8)
Computing and Visualization in Science     Hybrid Journal   (Followers: 6)
Computing in Science & Engineering     Full-text available via subscription   (Followers: 25)
Conciencia Tecnologica     Open Access  
Concurrent Engineering     Hybrid Journal   (Followers: 3)
Continuum Mechanics and Thermodynamics     Hybrid Journal   (Followers: 6)
Control and Dynamic Systems     Full-text available via subscription   (Followers: 7)
Control Engineering Practice     Hybrid Journal   (Followers: 40)
Control Theory and Informatics     Open Access   (Followers: 7)
Corrosion Science     Hybrid Journal   (Followers: 24)
CT&F Ciencia, Tecnologia y Futuro     Open Access  
CTheory     Open Access  
Current Applied Physics     Full-text available via subscription   (Followers: 4)

        1 2 3 4 5 6 | Last

Journal Cover Advances in Engineering Software
  [SJR: 0.812]   [H-I: 49]   [25 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0965-9978
   Published by Elsevier Homepage  [3043 journals]
  • Seismic parameters’ combinations for the optimum prediction of the
           damage state of R/C buildings using neural networks
    • Authors: Konstantinos Morfidis; Konstantinos Kostinakis
      Pages: 1 - 16
      Abstract: Publication date: April 2017
      Source:Advances in Engineering Software, Volume 106
      Author(s): Konstantinos Morfidis, Konstantinos Kostinakis
      The aim of the present paper is to investigate the number and the combination of 14 seismic parameters through which an optimum prediction for the damage state of r/c buildings can be achieved using Artificial Neural Networks (ANNs). Multilayer perceptron networks are utilized. For the training of the ANNs a data set is created using results from Nonlinear Time History Analyses of 30 r/c buildings with different structural dynamic characteristics, which are subjected to 65 actual ground motions. The Maximum Interstorey Drift Ratio is used as the damage index. Two versions of the “Stepwise method”, i.e. the Forward Stepwise Method and the Backward Stepwise Method, as well as the “Weights Method”, are adopted as methods for the investigation of the most effective combinations of the examined seismic parameters. The most significant conclusion that turned out is that ANNs can predict adequately the seismic damage state of r/c buildings if at least 5 seismic parameters are used as inputs. The classification of the seismic parameters on the basis of their correlation with the damage state is not unique, since it depends to the configuration and the training algorithm of ANNs as well as the method which is utilized for the classification.

      PubDate: 2017-01-11T12:31:28Z
      DOI: 10.1016/j.advengsoft.2017.01.001
      Issue No: Vol. 106 (2017)
  • Comment on the paper “Application of homotopy analysis method to solve
           MHD Jeffery–Hamel flows in non-parallel walls, S.M. Moghimi, G.
           Domairry, Soheil Soleimani, E. Ghasemi, H. Bararnia, Advances in
           Engineering Software 42 (2011) 108–113”
    • Authors: Asterios Pantokratoras
      Pages: 17 - 18
      Abstract: Publication date: April 2017
      Source:Advances in Engineering Software, Volume 106
      Author(s): Asterios Pantokratoras
      The present comment concerns some doubtful results included in the above paper.

      PubDate: 2017-01-16T12:54:03Z
      DOI: 10.1016/j.advengsoft.2017.01.005
      Issue No: Vol. 106 (2017)
  • An object-oriented MATLAB toolbox for automotive body conceptual design
           using distributed parallel optimization
    • Authors: Huan Qin; Zijian Liu; Yu Liu; Haolong Zhong
      Pages: 19 - 32
      Abstract: Publication date: April 2017
      Source:Advances in Engineering Software, Volume 106
      Author(s): Huan Qin, Zijian Liu, Yu Liu, Haolong Zhong
      Appropriate structural analysis and optimization methods are of great significance for the conceptual design of automotive body-in-white (BIW) structure. This paper simplifies BIW structure as a spatial semi-rigid framed structure to provide early-stage predictions. Then a novel exact transfer stiffness matrix method (TSMM) is proposed for both static and dynamic analyses of three-dimensional semi-rigid framed structures. The matrix storage and equation solution techniques for large-scale engineering structures are also considered. Additionally, a size optimization mathematical model for BIW conceptual structure is formulated and solved by genetic algorithm (GA). Afterwards, to promote the conceptual design of BIW structure, an object-oriented MATLAB toolbox, based on TSMM, is developed. The Unified Modeling Language (UML) and strategy design pattern are employed to facilitate the development of the toolbox. Distributed parallel computing technique is adopted to speed up the former sequential optimization algorithm with simple modifications. Lastly, the validity of this easy-used toolbox is demonstrated by a benchmarking auto-body.

      PubDate: 2017-01-24T17:15:25Z
      DOI: 10.1016/j.advengsoft.2017.01.003
      Issue No: Vol. 106 (2017)
  • Centralized and optimal motion planning for large-scale AGV systems: A
           generic approach
    • Authors: Bai Li; Hong Liu; Duo Xiao; Guizhen Yu; Youmin Zhang
      Pages: 33 - 46
      Abstract: Publication date: April 2017
      Source:Advances in Engineering Software, Volume 106
      Author(s): Bai Li, Hong Liu, Duo Xiao, Guizhen Yu, Youmin Zhang
      A centralized multi-AGV motion planning method is proposed. In contrast to the prevalent planners with decentralized (decoupled) formulations, a centralized planner contains no priority assignment, decoupling, or other specification strategies, thus is free from being case-dependent and deadlock-involved. Although centralized motion planning is computationally expensive, it deserves investigations in schemes that are sensitive to solution quality but insensitive to computation time. Specifically, centralized multi-AGV motion planning is formulated as an optimal control problem in this work, wherein differential algebraic equations are used to describe the AGV dynamics, mechanical restrictions, and exterior constraints. Orthogonal collocation direct transcription method is adopted to discretize the original infinite-dimensional optimal control problem into a large-scale nonlinear programming (NLP) problem, which is solved using interior point method thereafter. Exhaustive simulations are conducted on 10-AGV formation reconfiguration tasks. Simulation results show the validation, unification, and real-time implementation potential of the introduced centralized planner. Particularly, the computation time on a PC reduces to several seconds with near-optimal initial guess in the NLP solving process, making receding horizon replanning possible via this centralized planner.

      PubDate: 2017-01-24T17:15:25Z
      DOI: 10.1016/j.advengsoft.2017.01.002
      Issue No: Vol. 106 (2017)
  • Efficient topology optimization using GPU computing with multilevel
    • Authors: Jesús Martínez-Frutos; Pedro J. Martínez-Castejón; David Herrero-Pérez
      Pages: 47 - 62
      Abstract: Publication date: April 2017
      Source:Advances in Engineering Software, Volume 106
      Author(s): Jesús Martínez-Frutos, Pedro J. Martínez-Castejón, David Herrero-Pérez
      This paper proposes a well-suited strategy for High Performance Computing (HPC) of density-based topology optimization using Graphics Processing Units (GPUs). Such a strategy takes advantage of Massively Parallel Processing (MPP) architectures to overcome the computationally demanding procedures of density-based topology design, both in terms of memory consumption and processing time. This is done exploiting data locality and minimizing both memory consumption and data transfers. The proposed GPU instance makes use of different granularities for the topology optimization pipeline, which are selected to properly balance the workload between the threads exploiting the parallelization potential of massively parallel architectures. The performance of the fine-grained GPU instance of the solving stage is evaluated using two preconditioning techniques. The proposal is also compared with the classical CPU implementation for diverse topology optimization problems, including stiffness maximization, heat sink design and compliant mechanism design.

      PubDate: 2017-02-07T15:48:42Z
      DOI: 10.1016/j.advengsoft.2017.01.009
      Issue No: Vol. 106 (2017)
  • MUESLI - a Material UnivErSal LIbrary
    • Authors: David Portillo; Daniel del Pozo; Daniel Rodríguez-Galán; Javier Segurado; Ignacio Romero
      Pages: 1 - 8
      Abstract: Publication date: March 2017
      Source:Advances in Engineering Software, Volume 105
      Author(s): David Portillo, Daniel del Pozo, Daniel Rodríguez-Galán, Javier Segurado, Ignacio Romero
      This article describes MUESLI, an open source library with constitutive models of continuum materials for solid, fluid, and thermal problems available at The library is object oriented, and includes the most commonly employed material models in Computational Mechanics. It is designed for easy extension, and includes classes for tensor manipulation and automatic testing. The library can be linked to existing codes, including commercial ones, for some of which specific interfaces are provided.

      PubDate: 2017-01-24T17:15:25Z
      DOI: 10.1016/j.advengsoft.2017.01.007
      Issue No: Vol. 105 (2017)
  • Abaqus2Matlab: A suitable tool for finite element post-processing
    • Authors: George Papazafeiropoulos; Miguel Muñiz-Calvente; Emilio Martínez-Pañeda
      Pages: 9 - 16
      Abstract: Publication date: March 2017
      Source:Advances in Engineering Software, Volume 105
      Author(s): George Papazafeiropoulos, Miguel Muñiz-Calvente, Emilio Martínez-Pañeda
      A suitable piece of software is presented to connect Abaqus, a sophisticated finite element package, with Matlab, the most comprehensive program for mathematical analysis. This interface between these well-known codes not only benefits from the image processing and the integrated graph-plotting features of Matlab but also opens up new opportunities in results post-processing, statistical analysis and mathematical optimization, among many other possibilities. The software architecture and usage are appropriately described and two problems of particular engineering significance are addressed to demonstrate its capabilities. Firstly, the software is employed to assess cleavage fracture through a novel 3-parameter Weibull probabilistic framework. Then, its potential to create and train neural networks is used to identify damage parameters through a hybrid experimental–numerical scheme, and model crack propagation in structural materials by means of a cohesive zone approach. The source code, detailed documentation and a large number of tutorials can be freely downloaded from

      PubDate: 2017-01-31T17:46:33Z
      DOI: 10.1016/j.advengsoft.2017.01.006
      Issue No: Vol. 105 (2017)
  • Programming the material point method in Julia
    • Authors: Sina Sinaie; Vinh Phu Nguyen; Chi Thanh Nguyen; Stephane Bordas
      Pages: 17 - 29
      Abstract: Publication date: March 2017
      Source:Advances in Engineering Software, Volume 105
      Author(s): Sina Sinaie, Vinh Phu Nguyen, Chi Thanh Nguyen, Stephane Bordas
      This article presents the implementation of the material point method (MPM) using Julia. Julia is an open source, multi-platform, high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to Matlab and Python programmers. MPM is a hybrid particle-grid approach that combines the advantages of Eulerian and Lagrangian methods and is suitable for complex solid mechanics problems involving contact, impact and large deformations. We will show that a Julia based MPM code, which is short, compact and readable and uses only Julia built in features, performs much better (with speed up of up to 8) than a similar Matlab based MPM code for large strain solid mechanics simulations. We share our experiences of implementing MPM in Julia and demonstrate that Julia is a very interesting platform for rapid development in the field of scientific computing.

      PubDate: 2017-01-31T17:46:33Z
      DOI: 10.1016/j.advengsoft.2017.01.008
      Issue No: Vol. 105 (2017)
  • Grasshopper Optimisation Algorithm: Theory and application
    • Authors: Shahrzad Saremi; Seyedali Mirjalili; Andrew Lewis
      Pages: 30 - 47
      Abstract: Publication date: March 2017
      Source:Advances in Engineering Software, Volume 105
      Author(s): Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis
      This paper proposes an optimisation algorithm called Grasshopper Optimisation Algorithm (GOA) and applies it to challenging problems in structural optimisation. The proposed algorithm mathematically models and mimics the behaviour of grasshopper swarms in nature for solving optimisation problems. The GOA algorithm is first benchmarked on a set of test problems including CEC2005 to test and verify its performance qualitatively and quantitatively. It is then employed to find the optimal shape for a 52-bar truss, 3-bar truss, and cantilever beam to demonstrate its applicability. The results show that the proposed algorithm is able to provide superior results compared to well-known and recent algorithms in the literature. The results of the real applications also prove the merits of GOA in solving real problems with unknown search spaces.

      PubDate: 2017-02-07T15:48:42Z
      DOI: 10.1016/j.advengsoft.2017.01.004
      Issue No: Vol. 105 (2017)
  • Algebraic generation of single domain computational grid for twin screw
           machines Part II – Validation
    • Authors: Ahmed Kovacevic; Sham Rane
      Abstract: Publication date: Available online 11 March 2017
      Source:Advances in Engineering Software
      Author(s): Ahmed Kovacevic, Sham Rane
      Algebraic procedures are available to generate computational grid for CFD analysis of twin screw compressors. Recently new algebraic method was formulated to generate numerical grids for CFD calculation of twin screw machines with grids generated from outer casing boundaries [16,18]. In this paper, the grids of Rotor to Casing and Casing to Rotor type are tested for performance calculation of a dry air screw compressor using ANSYS CFX solver and the results have been compared with measurements. Firstly the base-line grid of the Rotor to Casing grid type was used to obtain CFD results. A grid independent solution was obtained for this base-line grid. The size of the mesh thus obtained has been used with other grid variants for comparison. A set of successively refined Casing to Rotor grid type was tested by increasing the density of nodes on the rotor profile in the interlobe leakage region. A gradual improvement in the accuracy of flow prediction was achieved with successive refinement in the interlobe region. The third variant used for comparison is a Casing to Rotor grid type with a single rotor domain that has no interface between the rotor blocks. A significant improvement in the prediction of flow and internal pressure was achieved. These developments have also extended the capability of the deforming grids to be used with other CFD solvers like STAR-CCM+ and ANSYS FLUENT. Due to fully hexahedral cell structure and improved global grid quality, addition of physical phenomena like oil injection in the models has now become achievable.

      PubDate: 2017-03-13T00:13:10Z
      DOI: 10.1016/j.advengsoft.2017.03.001
  • Editorial Board/Publishing Info
    • Abstract: Publication date: May 2017
      Source:Advances in Engineering Software, Volume 107

      PubDate: 2017-03-11T00:07:20Z
  • The application of drilling degree of freedom to checkerboards in
           structural topology optimization
    • Authors: Balogh
      Abstract: Publication date: May 2017
      Source:Advances in Engineering Software, Volume 107
      Author(s): B. Balogh, J. Lógó
      The subject of the paper is to investigate a new way for avoiding the development of checkerboard patterns in structural topology optimization, using an additional in-plane rotational freedom. The efficiency of a few, from the many existing formulations, with differing complexity are put into comparison, such as the standard 4 noded bilinear element, the Allman-type solution, the shell element from SAP2000 and finally an element constructed on the basis of micropolar theory. Since the emergence of checkerboarded regions is a general phenomenon, the optimization problem is as simple as possible, being a weight minimization with a compliance constraint, solved with the optimality criteria method and a FEM discretization of the design domain.

      PubDate: 2017-03-11T00:07:20Z
  • Regularized immersed boundary-type formulation for fast transient dynamics
           with fluid-structure interaction
    • Authors: Olivier Jamond; Vincent Faucher
      Abstract: Publication date: Available online 9 March 2017
      Source:Advances in Engineering Software
      Author(s): Olivier Jamond, Vincent Faucher
      The present article deals with fast transient phenomena involving fluids and structures undergoing large displacements and rotations, associated with non-linear local behavior, such as plasticity, damage and failure. In this context, classical Arbitrary Lagrangian Eulerian approaches reach a limit where it is not possible to update the fluid grid to follow the structural motion without encountering entangled fluid cells forcing the simulations to stop. So-called immersed boundary approaches are thus frequently preferred in this situation, since they allow breaking the topological connection between the fluid and structural meshes and retrieve the expected level of robustness to handle complex structural motions. Their potential for efficient, robust and accurate simulations at the industrial level has been proven. However, it appears that the classical implementation of such approaches still imposes some constraints over the fluid mesh with respect to the structural mesh in terms of cell sizes, due to the expression of the kinematic links between fluid and structural velocities, which must be improved. It is demonstrated in the present article that an extended regularized framework can be designed to overcome the current drawbacks, but it comes with a significant increase of computational complexity and requires an extension of the classical software features encountered in fast transient dynamics simulation programs.

      PubDate: 2017-03-11T00:07:20Z
      DOI: 10.1016/j.advengsoft.2017.02.002
  • Structural reliability simulation for the latching mechanism in MEMS-based
           Safety and Arming device
    • Authors: Hongmao Tu; Wenzhong Lou; Zhili Sun; Yunpeng Qian
      Abstract: Publication date: Available online 9 March 2017
      Source:Advances in Engineering Software
      Author(s): Hongmao Tu, Wenzhong Lou, Zhili Sun, Yunpeng Qian
      Based on the deterministic performance analysis of latching mechanism in MEMS (micro-electro-mechanical system)-based Safety and Arming device (S&A device), probabilistic algorithms and Kriging approximation method coupling with finite element simulation are used to quantify the effect of input uncertainties on the response metrics of the mechanism. It firstly uses performance function to represent the failure of the latching mechanism mathematically, and then constructs the corresponding reliability model according to structural reliability theory. In order to relieve the burden of further reliability and sensitivity calculations, Kriging interpolation technique is adopted to approximate the performance function and hence simplify the reliability model. Samples of input variables and the corresponding response, which all together serve as the inputs of Kriging approximation, are gotten through finite element simulations based on the design of experiments. An efficient CAE software integration method is proposed to facilitate the repetitive FE-based calculations of those samples. Finally, FORM (First Order Second Moment Method) is utilized to get the reliability index and its sensitivities with respect to the input random variables and their parameters, which can not only be employed for reliability assessment of the latching mechanism, but also can help to identify key factors for additional structural improvements.

      PubDate: 2017-03-11T00:07:20Z
      DOI: 10.1016/j.advengsoft.2017.02.008
  • Accelerating parametric studies in computational dynamics: Selective modal
           re-orthogonalization versus model order reduction methods
    • Authors: J. García-Martínez; F.J. Herrada; L.K.H. Hermanns; A. Fraile; F.J. Montáns
      Abstract: Publication date: Available online 8 March 2017
      Source:Advances in Engineering Software
      Author(s): J. García-Martínez, F.J. Herrada, L.K.H. Hermanns, A. Fraile, F.J. Montáns
      In the dynamic analysis of a structure, it is frequent the use of parametric studies to consider several design configurations or possible modifications of the structure. These changes modify the physical properties of the structure, and therefore, finite element models need updates in order to compute the response of the modified structure. A wide variety of model order reduction methods which may be suitable for this task has been developed, either static or dynamic, which also consider non-classical damping, which is especially relevant in the design of vibration absorption devices. In this paper, we compare the use of selective reorthogonalization with other model order reduction techniques, both in terms of computational time and in accuracy, using three computer architectures. The proposed reorthogonalization method allows for parametric structural modifications and evaluates the solution using a modified complex modal domain only along a selection of a few degrees of freedom that are relevant for the dynamic analysis of the system. This acceleration method does not result in any significative decrease of the quality of the results of interest due to approximations, whereas remains very competitive when compared to usual model order reduction techniques.

      PubDate: 2017-03-11T00:07:20Z
      DOI: 10.1016/j.advengsoft.2017.02.006
  • Study on the reduction method of the satellite thermal mathematical model
    • Authors: Jung Hoon Kim; Byoungsoo Kim
      Abstract: Publication date: Available online 7 March 2017
      Source:Advances in Engineering Software
      Author(s): Jung Hoon Kim, Byoungsoo Kim
      The thermal model reduction method is introduced to condense a huge satellite panel thermal model into a simplified model in order to make efficient calculations in the thermal analysis of a satellite in orbit. The static condensation algorithm with a substitution matrix manipulation is employed to handle the huge matrices without any numerical restriction. The relevant mathematical procedures of reduction are described step-by-step. The thermal model example of a satellite panel is illustrated to demonstrate the developed reduction method and its results are discussed. The influence of generated meshes for the reduced thermal model is reviewed. The calculation times are assessed and comparison between the developed method and the classical block-form LU decomposition method is also performed.

      PubDate: 2017-03-11T00:07:20Z
      DOI: 10.1016/j.advengsoft.2017.02.007
  • 3-D elasto-plastic large deformations: IGA simulation by Bézier
           extraction of NURBS
    • Authors: Wenjiang Lai; Tiantang Yu; Tinh Quoc Bui; Zhiguo Wang; Jose L. Curiel-Sosa; Raj Das; Sohichi Hirose
      Abstract: Publication date: Available online 7 March 2017
      Source:Advances in Engineering Software
      Author(s): Wenjiang Lai, Tiantang Yu, Tinh Quoc Bui, Zhiguo Wang, Jose L. Curiel-Sosa, Raj Das, Sohichi Hirose
      This paper is devoted to the numerical simulation of elasto-plastic large deformation in three-dimensional (3-D) solids using isogeometric analysis (IGA) based on Bézier extraction of NURBS (non-uniform rational B-splines), due to some inherently desirable features. The Bézier extraction operation decomposes the NURBS basis functions into a set of linear combination of Bernstein polynomials and a set of C 0-continuity Bézier elements. Consequently, the IGA based on Bézier extraction of NURBS can be embedded in existing FEM codes, and more importantly, as have been shown in literature that higher accuracy over traditional FEM can be gained. The main features distinguishing between the IGA and FEM are the exact geometry description with fewer control points, high-order continuity, high accuracy. Unlike the standard FEM, the NURBS basis functions are capable of precisely describing both geometry and solution fields. The present kinematic is based on the Total Lagrange description due to the elasto-plastic large deformation with deformation history. The results for the distributions of displacements, von Mises stress, yielded zones, and force-displacement curves are computed and analyzed. For the sake of comparison of the numerical results, the same numerical examples have additionally been computed with the FEM using ABAQUS. IGA numerical results show the robustness and accuracy of the technique.

      PubDate: 2017-03-11T00:07:20Z
      DOI: 10.1016/j.advengsoft.2017.02.011
  • A novel resource sharing algorithm based on distributed construction for
           radiant enclosure problems
    • Authors: Peter Finzell; Kenneth M. Bryden
      Abstract: Publication date: Available online 6 March 2017
      Source:Advances in Engineering Software
      Author(s): Peter Finzell, Kenneth M. Bryden
      This paper demonstrates a novel approach to solving inverse radiant enclosure problems based on distributed construction. Specifically, the problem of determining the temperature distribution needed on the heater surfaces to achieve a desired design surface temperature profile is recast as a distributed construction problem in which a shared resource, temperature, is distributed by computational agents moving blocks. The sharing of blocks between agents enables them to achieve their desired local state, which in turn achieves the desired global state. Each agent uses the current state of their local environment and a simple set of rules to determine when to exchange blocks, each block representing a discrete unit of temperature change. This algorithm is demonstrated using the established two-dimensional inverse radiation enclosure problem. The temperature profile on the heater surfaces is adjusted to achieve a desired temperature profile on the design surfaces. The resource sharing algorithm was able to determine the needed temperatures on the heater surfaces to obtain the desired temperature distribution on the design surfaces in the nine cases examined.

      PubDate: 2017-03-11T00:07:20Z
      DOI: 10.1016/j.advengsoft.2017.02.009
  • Research on multi-variation coupling effect of heart-shaped dual phase
           Hy-Vo silent chain system
    • Authors: Yabing Cheng; Xiaopeng Wang; Huan Liu; Wang Gao; Junyue Zhang
      Abstract: Publication date: Available online 3 March 2017
      Source:Advances in Engineering Software
      Author(s): Yabing Cheng, Xiaopeng Wang, Huan Liu, Wang Gao, Junyue Zhang
      Based on the theory of transmission that the Hy-Vo silent chain meshes with the sprocket, the meshing design system of the dual phase Hy-Vo silent chain link-sprocket-tool and the dynamics model of the dual phase Hy-Vo silent chain transmission system based on heart-shaped hole are built. The main design parameters of chain link, benchmark apothem and positioning offset angle, are designed and the harmonic relationship between them and the dual phase transmission system fluctuations is analyzed. The simulation analysis results show that the fluctuations of the dual phase transmission system are less than those of the single phase transmission system obviously no matter how the benchmark apothem and the positioning offset angle vary. Compared to the single phase transmission system, the angular velocity variation of the dual phase transmission system is smaller and the frequency is lower. In addition, the influence on fluctuation of Hy-Vo silent chain that the benchmark apothem and the positioning offset angle have is not a simple superposition, but the result of interaction. The research results of this paper will provide the support for parameter optimization of dual phase transmission Hy-Vo silent chain, and also provide some scientific basis for multi-variation coupling effect of the dual phase Hy-Vo silent chain system.

      PubDate: 2017-03-05T17:35:29Z
      DOI: 10.1016/j.advengsoft.2017.02.010
  • Algebraic generation of single domain computational grid for twin screw
           machines. Part I. Implementation
    • Authors: Sham Rane; Ahmed Kovacevic
      Abstract: Publication date: Available online 2 March 2017
      Source:Advances in Engineering Software
      Author(s): Sham Rane, Ahmed Kovacevic
      Special attention is required for generation of computational grids in highly deforming working chambers of twin screw machines for 3D CFD calculations. Two approaches for customised grid generation are practically available. The first is an algebraic grid generation and the second is a differential decomposition method. This paper reports on new developments in the algebraic approach that has the advantages associated with both algebraic and differential methods. Two control functions are introduced for regularisation of the initial algebraic distribution. One is based on an analytical control function in transformed coordinate system while the other uses background blocking structure in order to guide the initial algebraic distribution towards a single computational mesh. This paper presents implementation and grid characteristics of these new functions. Developed grids have been tested and results from flow calculations on a dry air compressor have been validated in part II of the paper [29]. It was possible to achieve two distinct characteristics desirable in a twin screw rotor domain mesh. Firstly, it is possible to independently control grid refinement in the interlobe region thereby providing better accuracy in representation of the leakage gaps. Secondly and most importantly, it is possible now to eliminate the non-conformal interface between the two rotor domains thereby producing a single domain structured grid for the rotors, while still maintaining the fully hexahedral cell topology. An improvement in the global orthogonality of the cells was achieved. Despite of a decrement in the Face warp quality, aspect ratio of cells retained similar scale.

      PubDate: 2017-03-05T17:35:29Z
      DOI: 10.1016/j.advengsoft.2017.02.003
  • An agglomeration strategy for accelerating RBF-based mesh deformation
    • Authors: Giorgos A. Strofylas; Georgios N. Lygidakis; Ioannis K. Nikolos
      Abstract: Publication date: Available online 2 March 2017
      Source:Advances in Engineering Software
      Author(s): Giorgos A. Strofylas, Georgios N. Lygidakis, Ioannis K. Nikolos
      RBF-based mesh deformation methods have been recognized during the past years as an essential tool for numerical simulations involving mesh deformation. Nevertheless, they call for excessive memory and computation time requirements, especially for large-scale problems. A remedy to this shortcoming appears to be the selection of a reduced number of surface mesh nodes, to be used as RBF-centers, resulting in decreased dimensions of the system of equations. In this study a methodology for the reduction of the RBF-centers is developed, based on the agglomeration of boundary nodes' control areas. This technique has been adopted from the multigrid methods frequently employed in numerical simulation of fluid flow, heat transfer, etc. The fusion strategy is performed on a topology-preserving framework, while it resembles the advancing front technique, as it begins from regions with surface discontinuities extending successively to the interior. The proposed algorithm was evaluated against benchmark test cases, concerning deformation of the wing of a transonic commercial aircraft and the blade of a wind turbine, revealing its potential for radically improved computational performance of the grid deformation procedure. Moreover, the obtained results confirm its capability to preserve grid quality, despite the notable reduction of RBF-centers.

      PubDate: 2017-03-05T17:35:29Z
      DOI: 10.1016/j.advengsoft.2017.02.004
  • Lattice Boltzmann parallel simulation of microflow dynamics over
           structured surfaces
    • Authors: Wenning Zhou; Yuying Yan; Xunliang Liu; Baiqian Liu
      Abstract: Publication date: Available online 24 February 2017
      Source:Advances in Engineering Software
      Author(s): Wenning Zhou, Yuying Yan, Xunliang Liu, Baiqian Liu
      In the present work, a parallel lattice Boltzmann multiphase model was developed to investigate the effects of surface structures on wettabilities and flow dynamics in a microchannel. The theory of wetting transition was firstly discussed. Then three types including triangular, rectangle and hierarchical shaped microstructures were constructed on the surface to examine the effects on wettabilities and drag reduction. It was found that flow behaviour is strongly affected by the surface morphology of the channel. The results indicated that hierarchical structures on the surface could improve the hydrophobicity significantly. For rectangular structures, they can improve the hydrophobicity with the increase of height and distance ratio h/d of the structures, and the improvement will reach its optimal hydrophobicity when the value h/d is over a certain value of 0.6. Moreover, to accelerate computational speed, the Open Multi-Processing (OpenMP) was employed for the parallelization of the model. A maximum speedup of 2.95 times was obtained for 4 threads on a multi-core CPU platform.

      PubDate: 2017-02-25T17:00:31Z
      DOI: 10.1016/j.advengsoft.2017.02.001
  • Editorial Board/Publishing Info
    • Abstract: Publication date: April 2017
      Source:Advances in Engineering Software, Volume 106

      PubDate: 2017-02-12T16:12:47Z
  • Editorial Board/Publishing Info
    • Abstract: Publication date: March 2017
      Source:Advances in Engineering Software, Volume 105

      PubDate: 2017-02-07T15:48:42Z
  • Analysis of the vibration attenuation of rotors supported by
           magnetorheological squeeze film dampers as a multiphysical finite element
    • Authors: Petr Ferfecki; Jaroslav Zapoměl; Jan Kozánek
      Pages: 1 - 11
      Abstract: Publication date: February 2017
      Source:Advances in Engineering Software, Volume 104
      Author(s): Petr Ferfecki, Jaroslav Zapoměl, Jan Kozánek
      Placing damping devices between the rotor and its frame is a frequently used engineering solution for reducing excessive vibrations of rotating machines. Their damping effect must be controllable to achieve their optimum performance in a wide range of operating speeds. This is enabled by magnetorheological squeeze film dampers, the damping force of which can be controlled by changing magnetic flux passing through the lubricating layer. The magnetorheological oil is represented in the developed mathematical model by Bingham material. The magnetic induction in the damper gap is a significant parameter that directly influences resistance against the flow of the magnetorheological oil and generates the additional magnetic force acting on the rotor journal. Therefore, three approaches (1D, 2D, and 3D) to determination of the semi-analytical relations describing its distribution in the lubricating film were proposed, tested, and compared. The appropriate coefficients were determined by repeatedly solving 2D or 3D magnetostatic problems for the specified damper dimensions, design, and rising magnitude of the journal eccentricity utilizing the finite element and least square methods. In the developed computational model of the rotating machine, the rotor shaft is represented by a beam like-body that is discretised into finite elements. The magnetorheological dampers are implemented by springs and force couplings. The principal contribution of this article consists in the development of a methodology, based on three approaches, for the derivation of closed form formulas describing the distribution of magnetic induction in the damper gap as a function of the rotor journal eccentricity and angular position. The individual approaches give some differences in the results that are consequent upon the distinguishing level used for modelling the damping device. The extent of their applicability is discussed in the article. The developed computational models are intended for the investigation of the vibration attenuation of rotor systems in a wide range of rotational speeds.

      PubDate: 2016-11-22T10:52:44Z
      DOI: 10.1016/j.advengsoft.2016.11.001
      Issue No: Vol. 104 (2016)
  • A stochastic multiscale method for thermo-mechanical analysis arising from
           random porous materials with interior surface radiation
    • Authors: Zhiqiang Yang; Junzhi Cui; Yi Sun; Yizhi Liu; Youcai Xiao
      Pages: 12 - 27
      Abstract: Publication date: February 2017
      Source:Advances in Engineering Software, Volume 104
      Author(s): Zhiqiang Yang, Junzhi Cui, Yi Sun, Yizhi Liu, Youcai Xiao
      A stochastic multiscale computational method for predicting the thermo-mechanical coupling properties of random porous materials is proposed. Here, the thermal radiation effect at microscale of the material consisting of randomly distributed pores is considered, which has an important impact on the macroscopic temperature and stress fields. A novel unified homogenization procedure, based on two-scale asymptotic expressions, has been established. The higher-order multiscale formulations for solving the dynamic thermo-mechanical coupling problem with the inertia term, coupling term and radiation term are given successively. Then, the statistical prediction algorithm based on the multiscale method is described in detail. Finally, numerical examples for porous materials with varying probability distribution models are calculated by the proposed algorithm, and compared with the data by finite element method with very fine meshes. The comparison shows that the stochastic multiscale computational method developed in this paper is useful for determination of the thermo-mechanical properties of porous materials and demonstrates its potential applications in engineering and technology.

      PubDate: 2016-12-04T15:03:50Z
      DOI: 10.1016/j.advengsoft.2016.11.006
      Issue No: Vol. 104 (2016)
  • Parallelization of a finite element Fortran code using OpenMP library
    • Authors: Seong Eun Oh; Jung-Wuk Hong
      Pages: 28 - 37
      Abstract: Publication date: February 2017
      Source:Advances in Engineering Software, Volume 104
      Author(s): Seong Eun Oh, Jung-Wuk Hong
      A finite element analysis code FEAP is parallelized using the OpenMP library, and the performance is evaluated. The essential concepts of the OpenMP for the implementation of the parallelization are described and then our parallelization procedures are presented. The skeleton of FEAP is analyzed and the subroutines that need to be parallelized are identified. Then, the general procedures to declare the parallel variables are explained and synchronization, which is necessary for parallelization, is described. Using the parallelized FEAP code, several examples are solved, and the accuracies and the numerical efficiencies are investigated.

      PubDate: 2016-12-04T15:03:50Z
      DOI: 10.1016/j.advengsoft.2016.11.004
      Issue No: Vol. 104 (2016)
  • Parallelisation of an interactive lattice-Boltzmann method on an
           Android-powered mobile device
    • Authors: Adrian R.G. Harwood; Alistair J. Revell
      Pages: 38 - 50
      Abstract: Publication date: February 2017
      Source:Advances in Engineering Software, Volume 104
      Author(s): Adrian R.G. Harwood, Alistair J. Revell
      Engineering simulation is essential to modern engineering design, although it is often a computationally demanding activity which can require powerful computer systems to conduct a study. Traditionally the remit of large desktop workstations or off-site computational facilities, potential is now emerging for mobile computation, whereby the unique characteristics of portable devices are harnessed to provide a novel means of engineering simulation. Possible use cases include emergency service assistance, teaching environments, augmented reality or indeed any such case where large computational resources are unavailable and a system prediction is needed. This is particularly relevant if the required accuracy of a calculation is relatively low, such as cases where only an intuitive result is required. In such cases the computational resources offered by modern mobile devices may already be adequate. This paper proceeds to discuss further the possibilities that modern mobile devices might offer to engineering simulation and describes some initial developments in this direction. We focus on the development of an interactive fluid flow solver employing the lattice Boltzmann method, and investigate both task-based and thread-based parallel implementations. The latter is more traditional for high performance computing across many cores while the former, native to Android, is more simple to implement and returns a slightly higher performance. The performance of both saturates when the number of threads/tasks equal three on a quad-core device. Execution time is improved by a further 20% by implementing the kernel in C++ and cross-compiling using the Android NDK.

      PubDate: 2016-12-11T15:47:45Z
      DOI: 10.1016/j.advengsoft.2016.11.005
      Issue No: Vol. 104 (2016)
  • Civil-Comp: Parallel, Distributed and Cloud Computing
    • Authors: P. Iványi; J. Kruis; T. Kozubek; W. Gentzsch; B.H.V. Topping
      First page: 12
      Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): P. Iványi, J. Kruis, T. Kozubek, W. Gentzsch, B.H.V. Topping

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2016.11.002
      Issue No: Vol. 103 (2016)
  • Parallel meshing of surfaces represented by collections of connected
    • Authors: P. Laug; F. Guibault; H. Borouchaki
      Pages: 13 - 20
      Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): P. Laug, F. Guibault, H. Borouchaki
      In CAD (computer aided design) environments, a surface is commonly modeled as a collection of connected regions represented by parametric mappings. For meshing such a composite surface, a parallelized indirect approach with dynamic load balancing can be used on a shared memory system. However, this methodology can be inefficient in practice because most existing CAD systems use memory caches that are only appropriate to a sequential process. Two solutions are proposed, referred to as the Pirate approach and the Discrete approach. In the first approach, the Pirate library can be efficiently called in parallel since no caching is used for the storage or evaluation of geometric primitives. In the second approach, the CAD environment is replaced by internal procedures interpolating a discrete geometric support. In both cases, performance measurements are presented and show an almost linear scaling.

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2016.09.003
      Issue No: Vol. 103 (2016)
  • Implementation of K-means segmentation algorithm on Intel Xeon Phi and
           GPU: Application in medical imaging
    • Authors: Milan Jaroš; Petr Strakoš; Tomáš Karásek; Lubomír Říha; Alena Vašatová; Marta Jarošová; Tomáš Kozubek
      Pages: 21 - 28
      Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): Milan Jaroš, Petr Strakoš, Tomáš Karásek, Lubomír Říha, Alena Vašatová, Marta Jarošová, Tomáš Kozubek
      The paper presents speed up of the k-means algorithm for image segmentation. This speed up is achieved by effective parallelization. For parallel implementation we focus on Many Integrated Core (MIC) architecture with Intel Xeon Phi coprocessors. The MIC implementation is compared with GPU, CPU and sequential implementation. To demonstrate parallel capabilities of k-means algorithm, segmentation of CT images of human body are used. Results of this work will be used for development of the software application for automatic 3D model reconstruction of heart and liver.

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2016.05.008
      Issue No: Vol. 103 (2016)
  • Hybrid parallelization of the total FETI solver
    • Authors: Lubomír Říha; Tomáš Brzobohatý; Alexandros Markopoulos
      Pages: 29 - 37
      Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): Lubomír Říha, Tomáš Brzobohatý, Alexandros Markopoulos
      This paper describes our new hybrid parallelization of the Finite Element Tearing and Interconnecting (FETI) method for the multi-socket and multi-core computer cluster. This is an essential step in our development of the Hybrid FETI solver were small number of neighboring subdomains is aggregated into clusters and each cluster is processed by a single compute node. In our previous work we have implemented FETI solver using MPI parallelization into our ESPRESO solver. The proposed hybrid implementation provides better utilization of resources of modern HPC machines using advanced shared memory runtime systems such as Cilk++ runtime. Cilk++ is an alternative to OpenMP which is used by ESPRESO for shared memory parallelization. We have compared the performance of the hybrid parallelization to MPI-only parallelization. The results show that we have reduced both solver runtime and memory utilization. This allows a solver to use a larger number of smaller sub-domains and in order to solve larger problems using a limited number of compute nodes. This feature is essential for users with smaller computer clusters. In addition, we have evaluated this approach with large-scale benchmarks of size up to 1.3 billion of unknowns to show that the hybrid parallelization also reduces runtime of the FETI solver for these types of problems.

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2016.04.004
      Issue No: Vol. 103 (2016)
  • Analysis and classification of flow-carrying backbones in two-dimensional
    • Authors: Roman Trobec; Biljana Stamatovic
      Pages: 38 - 45
      Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): Roman Trobec, Biljana Stamatovic
      The paper proposes a new data-flow based approach for the identification of backbones in infinite clusters on 2-D percolation site lattices of dimension L × L. The infinite cluster is identified first, then a multi step algorithm is applied for the reduction of the infinite cluster to its backbone. Algorithm performances are evaluated theoretically and experimentally. The algorithm is local and can therefore be efficiently implemented on data-flow parallel platforms in Θ(L) time if applied on percolation lattices near the critical percolation probability or in Θ(L 2) in the worst case. The proposed methodology could resolve the problem of stack overflow at large systems that can appear with classical graph based algorithms, and has potential for a higher execution speed-up on parallel architectures.

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2015.11.002
      Issue No: Vol. 103 (2016)
  • Development of cloud services for patient-specific simulations of blood
           flows through aortic valves
    • Authors: A. Kačeniauskas; R. Pacevič; V. Starikovičius; A. Maknickas; M. Staškūnienė; G. Davidavičius
      Pages: 57 - 64
      Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): A. Kačeniauskas, R. Pacevič, V. Starikovičius, A. Maknickas, M. Staškūnienė, G. Davidavičius
      The paper presents the development of cloud software services for patient-specific computational analysis of blood flows through the aortic valve on a private university cloud. The main focus is on the software service level at the top of the provided computational platform. Blood flow through the aortic valve was considered as a pilot application of the OpenStack cloud infrastructure. A modelling software environment based on ANSYS Fluent was developed as a software service (SaaS) for the numerical analysis of low flow, low pressure gradient aortic stenosis. Segmentation software services were designed to deal with the patient-specific issues of the computational analysis. User-friendly management tools were developed using Apache jclouds API to enhance the management of OpenStack cloud infrastructure and to increase the accessibility of the required software. The performance of the cloud infrastructure was assessed by testing CPU, memory bandwidth, disk I/O and the developed software service for medical computations. The performance measured on Xen hardware virtual machines, KVM virtual machines and Docker containers were compared with the performance obtained by using the native hardware.

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2016.01.013
      Issue No: Vol. 103 (2016)
  • An optimally efficient technique for the solution of systems of nonlinear
           parabolic partial differential equations
    • Authors: F.W. Yang; C.E. Goodyer; M.E. Hubbard; P.K. Jimack
      Pages: 65 - 84
      Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): F.W. Yang, C.E. Goodyer, M.E. Hubbard, P.K. Jimack
      This paper describes a new software tool that has been developed for the efficient solution of systems of linear and nonlinear partial differential equations (PDEs) of parabolic type. Specifically, the software is designed to provide optimal computational performance for multiscale problems, which require highly stable, implicit, time-stepping schemes combined with a parallel implementation of adaptivity in both space and time. By combining these implicit, adaptive discretizations with an optimally efficient nonlinear multigrid solver it is possible to obtain computational solutions to a very high resolution with relatively modest computational resources. The first half of the paper describes the numerical methods that lie behind the software, along with details of their implementation, whilst the second half of the paper illustrates the flexibility and robustness of the tool by applying it to two very different example problems. These represent models of a thin film flow of a spreading viscous droplet and a multi-phase-field model of tumour growth. We conclude with a discussion of the challenges of obtaining highly scalable parallel performance for a software tool that combines both local mesh adaptivity, requiring efficient dynamic load-balancing, and a multigrid solver, requiring careful implementation of coarse grid operations and inter-grid transfer operations in parallel.

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2016.06.003
      Issue No: Vol. 103 (2016)
  • Multi-scale high-performance fluid flow: Simulations through porous media
    • Authors: Nevena Perović; Jérôme Frisch; Amgad Salama; Shuyu Sun; Ernst Rank; Ralf-Peter Mundani
      Pages: 85 - 98
      Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): Nevena Perović, Jérôme Frisch, Amgad Salama, Shuyu Sun, Ernst Rank, Ralf-Peter Mundani
      Computational fluid dynamic (CFD) calculations on geometrically complex domains such as porous media require high geometric discretisation for accurately capturing the tested physical phenomena. Moreover, when considering a large area and analysing local effects, it is necessary to deploy a multi-scale approach that is both memory-intensive and time-consuming. Hence, this type of analysis must be conducted on a high-performance parallel computing infrastructure. In this paper, the coupling of two different scales based on the Navier–Stokes equations and Darcy’s law is described followed by the generation of complex geometries, and their discretisation and numerical treatment. Subsequently, the necessary parallelisation techniques and a rather specific tool, which is capable of retrieving data from the supercomputing servers and visualising them during the computation runtime (i.e. in situ) are described. All advantages and possible drawbacks of this approach, together with the preliminary results and sensitivity analyses are discussed in detail.

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2016.07.016
      Issue No: Vol. 103 (2016)
  • A fast uncertainty analysis for material nonlinear problems based on
           reanalysis and semi-analytic strategy
    • Authors: Guanxin Huang; Hu Wang; Lei Chen; Enying Li; Guangyao Li
      Pages: 1 - 13
      Abstract: Publication date: December 2016
      Source:Advances in Engineering Software, Volume 102
      Author(s): Guanxin Huang, Hu Wang, Lei Chen, Enying Li, Guangyao Li
      A novel semi-analytic method for interval-based uncertainty analysis is suggested to calculate the uncertainty measure index in this study. As nonlinear problems commonly cannot be solved analytically, an analytic interval-based uncertainty analysis method for linear problems is deduced, and an explicit expression of the measure index of uncertainty is given. To extend this form to nonlinear analysis, a semi-analytic uncertainty analysis (SAUA) method is suggested by integrating gradient-based optimization methods and Taylor expansion. Initially, a pseudo optimal solution is obtained. Sequentially, a Taylor expansion is used to calculate the performance function based on the pseudo optimal solution. In this way, the uncertainty measure index can be obtained analytically. Considering the bottleneck of surrogate model, an efficient reanalysis assisted material nonlinear analysis (RAMNA) method is integrated. Thus, the efficiency and accuracy of the suggested method are both enhanced. The SAUA method has been applied to large-scale reliability analysis of vehicle components. The results show that the SAUA is effective and efficient, especially for large-scale problems. Furthermore, the SAUA method can also be extended for other mechanical design, and contribute to shortening the design period.

      PubDate: 2016-08-24T12:44:59Z
      DOI: 10.1016/j.advengsoft.2016.08.008
      Issue No: Vol. 102 (2016)
  • Improved adaptive mesh refinement for conformal hexahedral meshes
    • Authors: Gérald Nicolas; Thierry Fouquet; Samuel Geniaut; Sam Cuvilliez
      Pages: 14 - 28
      Abstract: Publication date: December 2016
      Source:Advances in Engineering Software, Volume 102
      Author(s): Gérald Nicolas, Thierry Fouquet, Samuel Geniaut, Sam Cuvilliez
      The h-refinement is a technique to achieve the mesh adaptation during a finite element simulation. Some elements are selected because the error is higher than a given threshold: they are split. This operation creates new elements where the size of the edges is divided by 2 in the zone of high error. To produce a conformal mesh, the connection between two zones with different levels of refinement must be examined. This paper proposes a solution in the case of meshes made of hexahedra. Depending on the type of interface, a set of patterns has been designed. In each pattern, the hexahedron is split into pyramids and tetrahedra. That specific splitting stops the propagation of the refinement and allows h-refinement in numerical simulations based on hexahedra with a conformal finite element method. At the end, an application to a crack analysis is shown.

      PubDate: 2016-09-11T08:21:59Z
      DOI: 10.1016/j.advengsoft.2016.07.014
      Issue No: Vol. 102 (2016)
  • GTApprox: Surrogate modeling for industrial design
    • Authors: Mikhail Belyaev; Evgeny Burnaev; Ermek Kapushev; Maxim Panov; Pavel Prikhodko; Dmitry Vetrov; Dmitry Yarotsky
      Pages: 29 - 39
      Abstract: Publication date: December 2016
      Source:Advances in Engineering Software, Volume 102
      Author(s): Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel Prikhodko, Dmitry Vetrov, Dmitry Yarotsky
      We describe GTApprox — a new tool for medium-scale surrogate modeling in industrial design. Compared to existing software, GTApprox brings several innovations: a few novel approximation algorithms, several advanced methods of automated model selection, novel options in the form of hints. We demonstrate the efficiency of GTApprox on a large collection of test problems. In addition, we describe several applications of GTApprox to real engineering problems.

      PubDate: 2016-09-11T08:21:59Z
      DOI: 10.1016/j.advengsoft.2016.09.001
      Issue No: Vol. 102 (2016)
  • An analytic meshless enrichment function for handling discontinuities in
           interactive surgical simulation
    • Authors: Rifat Aras; Yuzhong Shen; Michel Audette
      Pages: 40 - 48
      Abstract: Publication date: December 2016
      Source:Advances in Engineering Software, Volume 102
      Author(s): Rifat Aras, Yuzhong Shen, Michel Audette
      For surgical simulation applications, realistic behavioral modeling of soft tissue is considered to be one of the most significant challenges, because biomechanical soft-tissue models need to reflect the correct elastic response, be efficient in order to run at interactive simulation rates, and be able to support operations such as cuts and sutures. For these reasons, having a usable 3D cutting engine is a significant feature for interactive surgery simulation software. Mesh-based solutions, where the connections between the individual degrees of freedom (DoF) are defined explicitly, have been the traditional approach to soft-tissue biomechanics. However, when the problem under investigation in interactive biomechanics contains a simulated surgical gesture that entails a cut that disrupts the connectivity, the underlying mesh structure has to undergo remeshing operation, and most of the time it causes the performance bottleneck in the simulation. Unlike the tightly-coupled nonoverlapping element composition of the mesh-based solutions, this paper builds an analytic enrichment function on top of a loosely-coupled meshless method for constitutive modeling of elastic soft tissues, where arbitrary discontinuities or cuts are applied to the objects in the context of surgical simulation. Enrichment values for a continuous cut interface are computed and stored inside a grid structure that is accessed by individual meshless nodes in order to update their weight functions. The presented analytic enrichment function is efficient to compute and easy to integrate into existing meshless models. The meshless mechanics code and the enrichment-based cut handling functionalities have been implemented within the open-source simulation framework SOFA.

      PubDate: 2016-09-18T09:06:02Z
      DOI: 10.1016/j.advengsoft.2016.08.011
      Issue No: Vol. 102 (2016)
  • Adaptive hexahedral mesh generation and regeneration using an improved
           grid-based method
    • Authors: Lili Huang; Guoqun Zhao; Zhonglei Wang; Xiangwei Zhang
      Pages: 49 - 70
      Abstract: Publication date: December 2016
      Source:Advances in Engineering Software, Volume 102
      Author(s): Lili Huang, Guoqun Zhao, Zhonglei Wang, Xiangwei Zhang
      An improved grid-based algorithm for the adaptive generation and regeneration of hexahedral element mesh is presented in this paper. The method for the mesh density generation and control is introduced. The refinement field is generated based on the surface curvatures, geometry features, density windows and field variables distribution. To give good description of the geometry features, eight different types of free element facet configurations are given for the mesh matching to the surface of the solid model. Scaled Jacobian and the Condition Number of the Jacobian matrix are used to evaluate the hexahedral element mesh quality. A curvature-based Laplacian smoothing approach is employed to improve the quality of boundary elements and preserve the boundary characters of mesh. To improve the quality of the surface meshes and the interior elements, an optimization approach is proposed by using mesh quality metric as the objective function. By combining the Laplacian smoothing method with the optimization approach, the mesh quality is improved significantly. For the surface meshes, the Condition Number of a set of Jacobian metric associated with the quadrilateral elements is taken as the optimization objective function. For the interior elements, the Condition Number metric associated with the hexahedral elements is employed as the optimization objective function. The effectiveness and robustness of the approaches are demonstrated through two complex three-dimensional models.

      PubDate: 2016-09-23T09:10:59Z
      DOI: 10.1016/j.advengsoft.2016.09.004
      Issue No: Vol. 102 (2016)
  • New approach to assess and rank the impact of revolute joint wear on the
           kinematic accuracy in the low-velocity planar mechanism
    • Authors: Xiongming Lai; Qingfang Lai; He Huang; Cheng Wang; Jianhong Yang; Yong Zhang
      Pages: 71 - 82
      Abstract: Publication date: December 2016
      Source:Advances in Engineering Software, Volume 102
      Author(s): Xiongming Lai, Qingfang Lai, He Huang, Cheng Wang, Jianhong Yang, Yong Zhang
      During the movement of the low-velocity planar mechanisms, the joint wear belonging to different positions have fairly distinctive impact on kinematic accuracy. Currently, there is a shortage of relevant approaches, functioned as a guidance to identify their major and minor effects on kinematic accuracy, which is adverse to confirm the weakest joint and restrain its impact. Aiming at this problem, based on the model of joint clearance, an approach to the calculation of its wear is proposed, and an analytical method of the sensitivity of kinematic accuracy to the joint wear is further suggested. The sensitivity method is applicable to practical engineering problems since the impact of both “position factor” and “wear factor” of the revolute joint wear on kinematic accuracy are considered. Through comparison and contrast of sensitivity, the impact on the kinematic accuracy by the joint wear can be assessed and ranked so that the weakest joint will be identified afterwards. Finally, the proposed method is verified via illustrative examples.

      PubDate: 2016-09-27T09:48:22Z
      DOI: 10.1016/j.advengsoft.2016.09.005
      Issue No: Vol. 102 (2016)
  • 2-manifold surface meshing using dual contouring with tetrahedral
    • Authors: Tanweer Rashid; Sharmin Sultana; Michel A. Audette
      Pages: 83 - 96
      Abstract: Publication date: December 2016
      Source:Advances in Engineering Software, Volume 102
      Author(s): Tanweer Rashid, Sharmin Sultana, Michel A. Audette
      The Dual Contouring algorithm (DC) is a grid-based process used to generate surface meshes from volumetric data. The advantage of DC is that it can reproduce sharp features by inserting vertices anywhere inside the grid cube, as opposed to the Marching Cubes (MC) algorithm that can insert vertices only on the grid edges. However, DC is unable to guarantee 2-manifold and watertight meshes due to the fact that it produces only one vertex for each grid cube. We present a modified Dual Contouring algorithm that is capable of overcoming this limitation. Our method decomposes an ambiguous grid cube into a maximum of twelve tetrahedral cells; we introduce novel polygon generation rules that produce 2-manifold and watertight surface meshes. We have applied our proposed method on realistic data, and a comparison of the results of our proposed method with results from traditional DC shows the effectiveness of our method.

      PubDate: 2016-10-04T10:20:05Z
      DOI: 10.1016/j.advengsoft.2016.09.008
      Issue No: Vol. 102 (2016)
  • Eliminate localized eigenmodes in level set based topology optimization
           for the maximization of the first eigenfrequency of vibration
    • Authors: Zhenhua Li; Tielin Shi; Qi Xia
      Abstract: Publication date: Available online 23 December 2016
      Source:Advances in Engineering Software
      Author(s): Zhenhua Li, Tielin Shi, Qi Xia
      Maximizing the fundamental eigenfrequency of vibration is an important topic in structural topology optimization. Previous studies of such a topology optimization problem should always be cautious of the “artificial localized mode” as it makes the optimization fail. In the present work, a level set based topology optimization is proposed to address such an issue. The finite element analysis is conducted on the actual structure by using a body-fitted mesh and without artificial weak material, thus localized mode that conventionally arises due to low-density region is prevented. In the present study, attention is turned to localized mode occurred gradually during the optimization. Such kind of localized mode results from the emergence of isolated area or cracked structure member produced by topological changes. A mode recognition technique based on the volume ratio of vibration-free region to the entire structure is proposed to identify such localized mode. Numerical examples of 2D structures are investigated.

      PubDate: 2016-12-24T23:14:08Z
      DOI: 10.1016/j.advengsoft.2016.12.001
  • Editorial Board/Publishing Info
    • Abstract: Publication date: February 2017
      Source:Advances in Engineering Software, Volume 104

      PubDate: 2016-12-17T16:12:03Z
  • Editorial Board/Publishing Info
    • Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103

      PubDate: 2016-12-17T16:12:03Z
  • The development of VisLT visualization service in Openstack cloud
    • Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): R. Pacevič, A. Kačeniauskas
      The paper presents the development of visualization software as a service in the OpenStack cloud infrastructure. VisLT cloud visualization service is developed for visualizing the results computed and stored in the private cloud infrastructure. Partial dataset transfer from the OpenStack object storage is developed to reduce the communication between different parts of the cloud infrastructure. The cloud services are developed by using Apache jclouds API to enhance the management of cloud infrastructure and to increase the accessibility of the visualization service. GPU is virtualized as a PCI device employing direct pass-through technology on the hardware virtual machines of Xen hypervisor to ensure fast remote rendering, which is a key feature of distributed visualization systems. The extraction of crack surfaces and computations of flows through the aortic valve are considered as pilot applications of the developed visualization service. The performance of VisLT measured on the XEN hardware virtual machines is compared to the performance attained on the native hardware.

      PubDate: 2016-12-17T16:12:03Z
  • A parallel implementation of an implicit discontinuous Galerkin finite
           element scheme for fluid flow problems
    • Authors: Jan Vimmr; Ondřej Bublík; Aleš Pecka
      Abstract: Publication date: Available online 14 December 2016
      Source:Advances in Engineering Software
      Author(s): Jan Vimmr, Ondřej Bublík, Aleš Pecka
      The discontinuous Galerkin (DG) method is frequently used in computational fluid dynamics for its stability and high order of accuracy. A disadvantage of the DG method is its high computational demands. The aim of this paper is to weaken this drawback by means of parallelization of the DG algorithm. The computation is performed on a network of computers with distributed memory using the Java Remote Method Invocation, which is included in the Java programming language. The partition of the boundary value problem into n subproblems, which is then solved by n computers separately, is based on the overlapping Schwarz method. On basis of physical nature of the problem, the present paper proposes minimal size of the overlap that allows for only one Schwarz iteration thereby increasing efficiency of parallelization. The scalability and efficiency of the presented parallelization approach is demonstrated on several test problems. In order to stabilize the DG method in presence of shocks, a recently developed technique by Huerta et al. (Int. J. Numer. Meth. Fluids 69(10), 2012, 1614–1632), which introduces discontinuities in basis functions in regions with a shock, is adopted here. A modification of this approach, which lowers the computational and implementational demands, is presented here.

      PubDate: 2016-12-17T16:12:03Z
      DOI: 10.1016/j.advengsoft.2016.11.007
  • An Abaqus plugin for fatigue predictions
    • Abstract: Publication date: January 2017
      Source:Advances in Engineering Software, Volume 103
      Author(s): M. Nesládek, M. Španiel
      This paper presents the features and functions of a software tool called Fatigue Prediction Utility for Abaqus/CAE (FPU). It is designed as a plugin for the Abaqus commercial FE code allowing for fatigue predictions based on the results of Abaqus FE analyses. It also contains an interface for data transfer between Abaqus and PragTic, a standalone fatigue post-processor. The program contains a simple and intuitive graphical interface, which makes preparation of a fatigue analysis straightforward. The FPU fatigue solver may be executed on multiple CPU cores independently from Abaqus/CAE, which allows large-scale problems to be solved on server machines in reasonable time. An overview of the functionality of the plugin, available prediction models and the concept of data exchange between Abaqus and PragTic is given. Illustrative examples are given, where appropriate, in order to introduce features of the tool. Possible ways of adapting the code for interconnection with an FE solver other than Abaqus are discussed.

      PubDate: 2016-11-10T09:45:40Z
  • Editorial Board/Publishing Info
    • Abstract: Publication date: December 2016
      Source:Advances in Engineering Software, Volume 102

      PubDate: 2016-11-04T09:32:42Z
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
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