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  Subjects -> ENGINEERING (Total: 2279 journals)
    - CHEMICAL ENGINEERING (191 journals)
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    - ENGINEERING (1203 journals)
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ENGINEERING (1203 journals)                  1 2 3 4 5 6 7 | 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: 15)
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: 222)
Acta Geotechnica     Hybrid Journal   (Followers: 7)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 5)
Acta Polytechnica : Journal of Advanced Engineering     Open Access   (Followers: 2)
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: 11)
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi     Open Access  
Adsorption     Hybrid Journal   (Followers: 4)
Advanced Engineering Forum     Full-text available via subscription   (Followers: 6)
Advanced Science     Open Access   (Followers: 4)
Advanced Science Focus     Free   (Followers: 3)
Advanced Science Letters     Full-text available via subscription   (Followers: 5)
Advanced Science, Engineering and Medicine     Partially Free   (Followers: 7)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 17)
Advances in Artificial Neural Systems     Open Access   (Followers: 4)
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: 10)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 20)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 24)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 9)
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: 12)
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: 37)
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: 29)
Ain Shams Engineering Journal     Open Access   (Followers: 5)
Akademik Platform Mühendislik ve Fen Bilimleri Dergisi     Open Access  
Alexandria Engineering Journal     Open Access   (Followers: 1)
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: 6)
Applied Catalysis B: Environmental     Hybrid Journal   (Followers: 9)
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: 7)
Applied Network Science     Open Access  
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Physics Research     Open Access   (Followers: 3)
Applied Sciences     Open Access   (Followers: 2)
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: 7)
Arid Zone Journal of Engineering, Technology and Environment     Open Access  
Arkiv för Matematik     Hybrid Journal   (Followers: 1)
ASEE Prism     Full-text available via subscription   (Followers: 3)
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: 8)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Current Engineering & Maths     Open Access  
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 8)
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: 8)
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: 4)
Bautechnik     Hybrid Journal   (Followers: 1)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 23)
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: 9)
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: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 32)
Biomedical Engineering: Applications, Basis and Communications     Hybrid Journal   (Followers: 5)
Biomedical Microdevices     Hybrid Journal   (Followers: 8)
Biomedical Science and Engineering     Open Access   (Followers: 3)
Biomedizinische Technik - Biomedical Engineering     Hybrid Journal  
Biomicrofluidics     Open Access   (Followers: 4)
BioNanoMaterials     Hybrid Journal   (Followers: 2)
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     Hybrid Journal   (Followers: 14)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 41)
Case Studies in Engineering Failure Analysis     Open Access   (Followers: 7)
Case Studies in Thermal Engineering     Open Access   (Followers: 3)
Catalysis Communications     Hybrid Journal   (Followers: 6)
Catalysis Letters     Hybrid Journal   (Followers: 2)
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: 3)
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: 11)
CIRP Journal of Manufacturing Science and Technology     Full-text available via subscription   (Followers: 14)
City, Culture and Society     Hybrid Journal   (Followers: 21)
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: 3)
Coastal Engineering     Hybrid Journal   (Followers: 11)
Coastal Engineering Journal     Hybrid Journal   (Followers: 4)
Coatings     Open Access   (Followers: 3)
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: 25)
Composite Interfaces     Hybrid Journal   (Followers: 6)
Composite Structures     Hybrid Journal   (Followers: 256)
Composites Part A : Applied Science and Manufacturing     Hybrid Journal   (Followers: 181)
Composites Part B : Engineering     Hybrid Journal   (Followers: 227)
Composites Science and Technology     Hybrid Journal   (Followers: 169)
Comptes Rendus Mécanique     Full-text available via subscription   (Followers: 2)
Computation     Open Access  
Computational Geosciences     Hybrid Journal   (Followers: 13)
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: 28)
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: 10)
Computing and Visualization in Science     Hybrid Journal   (Followers: 5)
Computing in Science & Engineering     Full-text available via subscription   (Followers: 29)
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: 8)
Control Engineering Practice     Hybrid Journal   (Followers: 41)
Control Theory and Informatics     Open Access   (Followers: 7)
Corrosion Science     Hybrid Journal   (Followers: 25)
CT&F Ciencia, Tecnologia y Futuro     Open Access  

        1 2 3 4 5 6 7 | 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  [3034 journals]
  • Sound transmission analysis of plate structures using the finite element
           method and elementary radiator approach with radiator error index
    • Authors: Jaesoon Jung; Junghwan Kook; Seongyeol Goo; Semyung Wang
      Pages: 1 - 15
      Abstract: Publication date: October 2017
      Source:Advances in Engineering Software, Volume 112
      Author(s): Jaesoon Jung, Junghwan Kook, Seongyeol Goo, Semyung Wang
      In this paper, an accurate and efficient numerical method for sound transmission analysis is presented. As an alternative to conventional numerical methods, such as the Finite Element Method (FEM), Boundary Element Method (BEM) and Statistical Energy Analysis (SEA), the FE-ERA method, which combines the FEM and Elementary Radiator Approach (ERA) is proposed. The FE-ERA method analyzes the vibrational response of the plate structure excited by incident sound using FEM and then computes the transmitted acoustic pressure from the vibrating plate using ERA. In order to improve the accuracy and efficiency of the FE-ERA method, a novel criterion for the optimal number of elementary radiators is proposed. The criterion is based on the radiator error index that is derived to estimate the accuracy of the computation with used number of radiators. Using the proposed criterion a radiator selection method is presented for determining the optimum number of radiators. The presented radiator selection method and the FE-ERA method are combined to improve the computational accuracy and efficiency. Several numerical examples that have been rarely addressed in previous studies, are presented with the proposed method. The accuracy and efficiency of the proposed method are validated by comparison with the results of the three dimensional (3D) FEM structure-acoustic interaction models.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2017.06.001
      Issue No: Vol. 112 (2017)
  • Analytical and 3D numerical analysis of the thermoviscoelastic behavior of
           concrete-like materials including interfaces
    • Authors: Benoit Bary; Christophe Bourcier; Thomas Helfer
      Pages: 16 - 30
      Abstract: Publication date: October 2017
      Source:Advances in Engineering Software, Volume 112
      Author(s): Benoit Bary, Christophe Bourcier, Thomas Helfer
      We investigate in this paper analytically and numerically by means of 3D simulations the viscoelastic behavior of concrete and mortar subjected to creep loading and moderate temperatures at mesoscale. These heterogeneous materials are assumed to be composed of thermoelastic aggregates distributed in a linear thermoviscoelastic matrix; moreover, the Interfacial Transition Zones (ITZ) between aggregates and matrix, whose behavior is also considered as linear thermoviscoelastic, are explicitly introduced. The numerical specimens consist in unstructured periodic meshes containing polyhedral aggregates with various size and shapes randomly distributed in a box. Zero-thickness interface finite elements are introduced between aggregates and matrix to model the ITZ. Macroscopic response and averaged stresses and strains in the matrix and aggregate phases are compared to analytical estimations obtained with classical mean-field approximation schemes applied in the Laplace–Carson space, in which the ITZ are introduced via imperfect interfaces modeled with the Linear Spring Model (LSM). The effects of ITZ thickness, aggregate shape and uniform temperature increase are then studied to evaluate their respective influence on the local and macroscopic creep behavior of mortar and concrete. Globally, it is found that the model response is in relatively good agreement with numerical simulations results, and that as expected while the ITZ do not affect significantly the concrete behavior, they have a non-negligible impact on the mortar one.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2017.06.006
      Issue No: Vol. 112 (2017)
  • Advances in High Performance Computing: on the path to Exascale software
    • Authors: Frédéric Magoulès; Mark Parsons; Lorna Smith
      Pages: 1 - 2
      Abstract: Publication date: September 2017
      Source:Advances in Engineering Software, Volume 111
      Author(s): Frédéric Magoulès, Mark Parsons, Lorna Smith

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2017.06.007
      Issue No: Vol. 111 (2017)
  • Progress towards physics-based space weather forecasting with exascale
    • Authors: Maria Elena Innocenti; Alec Johnson; Stefano Markidis; Jorge Amaya; Jan Deca; Vyacheslav Olshevsky; Giovanni Lapenta
      Pages: 3 - 17
      Abstract: Publication date: September 2017
      Source:Advances in Engineering Software, Volume 111
      Author(s): Maria Elena Innocenti, Alec Johnson, Stefano Markidis, Jorge Amaya, Jan Deca, Vyacheslav Olshevsky, Giovanni Lapenta
      Space weather is a rapidly growing field of science which studies processes occurring in the area of space between the Sun and the Earth. The development of space weather forecasting capabilities is a task of great societal relevance: space weather effects may damage a number of technological assets, among which power and communication lines, transformers, pipelines and the telecommunication infrastructure. Exascale computing is a fundamental ingredient for space weather forecasting tools based on physical, rather than statistical, models. We describe here our recent progresses towards a physics-based space weather forecasting tool with exascale computing. We select the semi-implicit, Particle In Cell, Implicit Moment Method implemented in the parallel, object-oriented, C++ iPic3D code as a promising starting point. We analyze the structure and the performances of the current version of the iPic3D code. We describe three algorithmic developments, the fully implicit method, the Multi-Level Multi-Domain method, and the fluid-kinetic method, which can help addressing the multiple spatial and temporal scales present in space weather simulations. We then examine, in a co-design approach, which requirements – vectorization, extreme parallelism and reduced communication – an application has to satisfy to fully exploit architectures such as GPUs and Xeon Phi’s. We address how to modify the iPic3D code to better satisfy these requirements. We then describe how to port the iPic3D code to the DEEP architecture currently under construction. The FP7 project DEEP ( aims at building an exascale-ready machine composed of a cluster of Xeon nodes and of a collection of Xeon Phi coprocessors, used as boosters. The aim of the DEEP project is to enable exascale performance for codes, such as iPic3D, composed of parts which exhibit different potential for extreme scalability. Finally, we provide examples of simulations of space weather processes done with the current version of the iPic3D code.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2016.06.011
      Issue No: Vol. 111 (2017)
  • Type oriented parallel programming for Exascale
    • Authors: Nick Brown
      Pages: 18 - 25
      Abstract: Publication date: September 2017
      Source:Advances in Engineering Software, Volume 111
      Author(s): Nick Brown
      Whilst there have been great advances in HPC hardware and software in recent years, the languages and models that we use to program these machines have remained much more static. This is not from a lack of effort, but instead by virtue of the fact that the foundation that many programming languages are built on is not sufficient for the level of expressivity required for parallel work. The result is an implicit trade-off between programmability and performance which is made worse due to the fact that, whilst many scientific users are experts within their own fields, they are not HPC experts. Type oriented programming looks to address this by encoding the complexity of a language via the type system. Most of the language functionality is contained within a loosely coupled type library that can be flexibly used to control many aspects such as parallelism. Due to the high level nature of this approach there is much information available during compilation which can be used for optimisation and, in the absence of type information, the compiler can apply sensible default options thus supporting both the expert programmer and novice alike. We demonstrate that, at no performance or scalability penalty when running on up to 8196 cores of a Cray XE6 system, codes written in this type oriented manner provide improved programmability. The programmer is able to write simple, implicit parallel, HPC code at a high level and then explicitly tune by adding additional type information if required.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2017.04.006
      Issue No: Vol. 111 (2017)
  • Making the case for reforming the I/O software stack of extreme-scale
    • Authors: Florin Isaila; Javier Garcia; Jesus Carretero; Rob Ross; Dries Kimpe
      Pages: 26 - 31
      Abstract: Publication date: September 2017
      Source:Advances in Engineering Software, Volume 111
      Author(s): Florin Isaila, Javier Garcia, Jesus Carretero, Rob Ross, Dries Kimpe
      The ever-increasing data needs of scientific and engineering applications require novel approaches to managing and exploring huge amounts of information in order to advance scientific discovery. In order to achieve this goal, one of the main priorities of the international scientific community is addressing the challenges of performing scientific computing on exascale machines within the next decade. Exascale platforms likely will be characterized by a three to four orders of magnitude increase in concurrency, a substantially larger storage capacity, and a deepening of the storage hierarchy. The current development model of independently applying optimizations at each layer of the system I/O software stack will not scale to the new levels of concurrency, storage hierarchy, and capacity. In this article we discuss the current development model for the I/O software stack of high-performance computing platforms. We identify the challenges of improving scalability, performance, energy efficiency, and resilience of the I/O software stack, while accessing a deepening hierarchy of volatile and nonvolatile storage. We advocate for radical new approaches to reforming the I/O software stack in order to advance toward exascale.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2016.07.003
      Issue No: Vol. 111 (2017)
  • Conjugate gradient method with graphics processing unit acceleration: CUDA
           vs OpenCL
    • Authors: Abal-Kassim Cheik Ahamed; Frédéric Magoulès
      Pages: 32 - 42
      Abstract: Publication date: September 2017
      Source:Advances in Engineering Software, Volume 111
      Author(s): Abal-Kassim Cheik Ahamed, Frédéric Magoulès
      Performance computations depend on the machine architecture, the operating system, the problem studied and obviously on the programming implementation. Solving partial differential equations by numerical methods such as the finite element method requires the solution of large sparse linear systems. Graphics processing unit (GPU) is now commonly used to accelerate numerical simulations and most supercomputers provide large number of GPUs to their users. This paper proposes a comparison of both CUDA and OpenCL GPU languages to take the highest performance of multi-GPUs clusters. We analyse, evaluate and compare their respective performances for computing linear algebra operations and for solving large sparse linear systems with the conjugate gradient iterative method on multi-GPUs clusters.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2016.10.002
      Issue No: Vol. 111 (2017)
  • GPU implementations of some many-body potentials for molecular dynamics
    • Authors: Alexander S. Minkin; Andrey A. Knizhnik; Boris V. Potapkin
      Pages: 43 - 51
      Abstract: Publication date: September 2017
      Source:Advances in Engineering Software, Volume 111
      Author(s): Alexander S. Minkin, Andrey A. Knizhnik, Boris V. Potapkin
      We study the efficiency of OpenCL implementations for Tersoff and embedded-atom interatomic potentials. We show that Tersoff potential can be computed faster using atomic operations rather than using longer kernel code. On the contrary better performance can be gained for embedded-atom potential without atomic operations. Numerical force computation algorithm is the slowest but shows the best scaling with the highest GPU acceleration. The GPU acceleration of different algorithms was evaluated and compared to the serial implementations of similar algorithms. The performance of GPU implementations is superior to their serial counterparts and depends on the algorithm and arithmetic precision. The corresponding benchmarks and performance comparison were done using NVidia GPUs and Intel CPUs.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2016.05.013
      Issue No: Vol. 111 (2017)
  • Coupling of lattice-Boltzmann solvers with suspended particles using the
           MPI intercommunication framework
    • Authors: T.A. Puurtinen; J.I. Toivanen; K. Mattila; J. Hyväluoma; R.W. Nash; P.V. Coveney; J. Timonen
      Pages: 52 - 57
      Abstract: Publication date: September 2017
      Source:Advances in Engineering Software, Volume 111
      Author(s): T.A. Puurtinen, J.I. Toivanen, K. Mattila, J. Hyväluoma, R.W. Nash, P.V. Coveney, J. Timonen
      The MPI intercommunication framework was used for coupling of two lattice-Boltzmann solvers with suspended particles, which model advection and diffusion respectively of these particles in a carrier fluid. Simulation domain was divided into two parts, one with advection and diffusion, and the other with diffusion only (no macroscopic flow). Particles were exchanged between these domains at their common boundary by a direct process to process communication. By analysing weak and strong scaling, it was shown that the linear scaling characteristics of the lattice-Boltzmann solvers were not compromised by their coupling.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2016.07.008
      Issue No: Vol. 111 (2017)
  • Editorial Board/Publishing Info
    • Abstract: Publication date: September 2017
      Source:Advances in Engineering Software, Volume 111

      PubDate: 2017-06-19T17:00:22Z
  • Computer-aided design of dental inlay restoration based on dual-factor
           constrained deformation
    • Authors: Changdong Zhang; Tingting Liu; Wenhe Liao; Tao Yang; Liyi Jiang
      Abstract: Publication date: Available online 16 June 2017
      Source:Advances in Engineering Software
      Author(s): Changdong Zhang, Tingting Liu, Wenhe Liao, Tao Yang, Liyi Jiang
      Computer-aided design technology has been applied extensively in the field of dental restoration. Inlay is a commonly used restoration type for reconstructing the partially destroyed teeth and restoring occlusal function. The designed occlusal surface should fit the anatomy of each defect region, and the modeling process should be efficient for clinical applications. This paper presents a robust dual-factor constrained deformation framework for dental inlay modeling, consisting of four necessary steps: cavity contour extraction using a heuristic search strategy, semi-automatic template tooth positioning through a four-step affine transformation involving ``Translation-Rotation-Rotation-Scaling”, tooth surface segmentation by means of sampling ray-tracing collisions, and occlusal surface reconstruction based on dual-factor constrained deformation, which was implemented by defining a segmentation constraint and cavity contour constraint. We demonstrate the effectiveness and robustness of the proposed method by presenting several clinical applications. The designed 3D inlay model can retain the morphological features of generic teeth and match well with the residual tooth surface.

      PubDate: 2017-06-19T17:00:22Z
      DOI: 10.1016/j.advengsoft.2017.06.005
  • Computing permissible design spaces under consideration of functional
    • Authors: W. Graf; M. Götz; M. Kaliske
      Abstract: Publication date: Available online 12 June 2017
      Source:Advances in Engineering Software
      Author(s): W. Graf, M. Götz, M. Kaliske
      The design of structures is one of the major tasks for engineers. The objectives of numerical design – computing robust and reliable structures – can be realized by means of analyzing different variants, application of optimization tasks, or solving inverse problems. The method of choice depends on the objective of design, the problem and available data/resources. This contribution introduces an application oriented procedure for the solution of an inverse problem, on the basis of existing data. This data consists of design vectors and related responses. This contribution is focused on functional responses. With this procedure independent areas of permissible designs can identified. These areas are approximatively described by hyperrectangles, which are multi-dimensional boxes. The procedure uses various algorithms within the context of data mining. The relevant methods will be discussed shortly. The proposed field of application is the detection permissible design spaces in early design stages. Therefore the applicability of the presented procedure is shown by practical numerical design studies.

      PubDate: 2017-06-15T07:11:13Z
      DOI: 10.1016/j.advengsoft.2017.05.015
  • Crash analysis and evaluation of vehicular impacts on W-beam guardrails
           placed behind curbs using finite element simulations
    • Authors: Matthew Gutowski; Emre Palta; Howie Fang
      Abstract: Publication date: Available online 10 June 2017
      Source:Advances in Engineering Software
      Author(s): Matthew Gutowski, Emre Palta, Howie Fang
      Roadway design, including the use of traffic barriers, is a critical aspect in transportation safety and is used to reduce the severity and frequency of automotive accidents. All barriers used on U.S. highways are designed according to the American Association of State Highway and Transportation Officials (AASHTO) Roadside Design Guide and are tested to ensure they satisfy the safety criteria specified by Manual for Assessing Safety Hardware (MASH). While curbs main functions are to separate the road from roadside, control vehicle rights-of-way, and channel water runoff; their use is discouraged by AASHTO from being installed on high-speed roadways due to the disruptive behavior caused when vehicles strike them. The destructive nature of vehicular crashes imposes significant challenges to barrier design using full-scale physical testing; numerical simulations thus become a viable option to support guardrail design improvements and performance evaluation. In this study, validated vehicle and W-beam guardrail models installed behind AASHTO Type B curbs were used to perform full-scale simulations of vehicle-curb-guardrail impacts. Seven single-faced W-beam guardrails, with placement heights of 27, 29, and 31 inches (0.69, 0.74, and 0.79 m), placed behind curbs at zero, six, and twelve foot offsets were impacted at 44 mph (70km/h) and two impact angles (25° and 15°) by a 1996 Dodge Neon and a 2006 Ford F250. The guardrail's performance was evaluated by analyzing the maximum guardrail deflection and vehicular responses based on post-impact exit trajectory utilizing the MASH exit box criterion, rotational angles, and transverse and longitudinal displacements and velocities.

      PubDate: 2017-06-15T07:11:13Z
      DOI: 10.1016/j.advengsoft.2017.06.004
  • Characterization of creep crack-tip constraint levels for pressurized
           pipelines with axial surface cracks
    • Authors: Lianyong Xu; Xingfu Zhang; Lei Zhao; Yongdian Han; Hongyang Jing
      Abstract: Publication date: Available online 10 June 2017
      Source:Advances in Engineering Software
      Author(s): Lianyong Xu, Xingfu Zhang, Lei Zhao, Yongdian Han, Hongyang Jing
      Through extensive 3D finite element analyzes, the creep crack-tip constraint levels were characterized using a load-independent creep constraint parameter Q* for pipelines with axial surface cracks of different geometrical sizes, which involved in various crack depths and crack shapes. The Q* distribution along the crack front for axial internal surface cracks and axial external surface cracks exhibited the same distribution tendency. However, the constraint level of internal surface cracks was higher than external surface cracks. In addition, the constraint level was improved as the crack depth became deep; in contrast, the constraint level showed a reduction tendency as the crack shape ratio a/c increased from 0.2 to 1.0. The highest constraint levels for the axial surfaces cracks in pipelines approached to that of single-edge notched tension specimen. Finally, two empirical equations for estimating the constraint level were established as a function of crack depth ratio and crack shape ratio for axial surface cracks in pipelines.

      PubDate: 2017-06-15T07:11:13Z
      DOI: 10.1016/j.advengsoft.2017.06.003
  • An information modeling framework for bridge monitoring
    • Authors: Seongwoon Jeong; Rui Hou Jerome Lynch Hoon Sohn Kincho Law
      Abstract: Publication date: Available online 31 May 2017
      Source:Advances in Engineering Software
      Author(s): Seongwoon Jeong, Rui Hou, Jerome P. Lynch, Hoon Sohn, Kincho H. Law
      Bridge management involves a variety of information from different data sources, including geometric model, analysis model, bridge management system (BMS) and structural health monitoring (SHM) system. Current practice of bridge management typically handles these diverse types of data using isolated systems and operates with limited use of the data. Sharing and integration of such information would facilitate meaningful use of the information and improve bridge management, as well as enhance bridge operation and maintenance and public safety. In many industries, information models and interoperability standards have been developed and employed to facilitate information sharing and collaboration. Given the success of building information modeling (BIM) in the Architecture, Engineering and Construction (AEC) industry, efforts have been initiated to develop frameworks and standards for bridge information modeling (BrIM). Current developments of BrIM focus primarily on the physical descriptions of bridge structures, such as geometry and material properties. This paper presents an information modeling framework for supporting bridge monitoring applications. The framework augments and extends the prior work on the OpenBrIM standards to further capture the information relevant to engineering analysis and sensor network. Implementation of the framework employs an open-source NoSQL database system for scalability, flexibility and performance. The framework is demonstrated using bridge information and sensor data collected from the Telegraph Road Bridge located in Monroe, Michigan. The results show that the bridge information modeling framework can potentially facilitate the integration of information involved in bridge monitoring applications, and effectively support and provide services to retrieve and utilize the information.

      PubDate: 2017-06-05T06:54:35Z
  • Editorial Board/Publishing Info
    • Abstract: Publication date: August 2017
      Source:Advances in Engineering Software, Volume 110

      PubDate: 2017-05-31T06:44:55Z
  • Spotted hyena optimizer: A novel bio-inspired based metaheuristic
           technique for engineering applications
    • Authors: Gaurav Dhiman; Vijay Kumar
      Abstract: Publication date: Available online 27 May 2017
      Source:Advances in Engineering Software
      Author(s): Gaurav Dhiman, Vijay Kumar
      This paper presents a novel metaheuristic algorithm named as Spotted Hyena Optimizer (SHO) inspired by the behavior of spotted hyenas. The main concept behind this algorithm is the social relationship between spotted hyenas and their collaborative behavior. The three basic steps of SHO are searching for prey, encircling, and attacking prey and all three are mathematically modeled and implemented. The proposed algorithm is compared with eight recently developed metaheuristic algorithms on 29 well-known benchmark test functions. The convergence and computational complexity is also analyzed. The proposed algorithm is applied to five real-life constraint and one unconstrained engineering design problems to demonstrate their applicability. The experimental results reveal that the proposed algorithm performs better than the other competitive metaheuristic algorithms.

      PubDate: 2017-05-31T06:44:55Z
      DOI: 10.1016/j.advengsoft.2017.05.014
  • SelEQ: An advanced ground motion record selection and scaling framework
    • Authors: L. Macedo; J.M. Castro
      Abstract: Publication date: Available online 26 May 2017
      Source:Advances in Engineering Software
      Author(s): L. Macedo, J.M. Castro
      The consensual agreement that ground motion record selection plays an important role in the non-linear dynamic structural response has contributed to numerous research studies seeking the definition of accurate ground motion record selection techniques. However, most of the available tools only allow for record selection based on spectral compatibility between the mean response spectrum of a record suite and a target response spectrum. This paper presents SelEQ, a fully integrated framework that implements state-of-the art procedures for ground motion record selection and scaling. In addition to typical record selection procedures, SelEQ allows obtaining the Conditional Mean Spectrum (CMS) for the European territory, the latter making use of the open source platform OpenQuake and the recently proposed SHARE seismic hazard model. This important feature allows state-of-the-art record selection for probabilistic-based assessment and risk analysis. SelEQ incorporates a number of procedures available in the literature that facilitate preliminary record selection (e.g. disaggregation for a specific site) and that allow advanced selection criteria (e.g. control of mismatch of individual ground motion records). The framework makes use of the Adaptive Harmony Search meta-heuristic optimization algorithm in order to significantly minimize computational cost and analysis time, whilst still meeting the imposed selection constraints. Application examples of the framework indicate that it can accurately select suites of ground motion records for code-based and probabilistic-based seismic assessment.

      PubDate: 2017-05-31T06:44:55Z
      DOI: 10.1016/j.advengsoft.2017.05.005
  • An astrophysics-inspired Grey wolf algorithm for numerical optimization
           and its application to engineering design problems
    • Authors: Vijay Kumar; Dinesh Kumar
      Abstract: Publication date: Available online 22 May 2017
      Source:Advances in Engineering Software
      Author(s): Vijay Kumar, Dinesh Kumar
      In this paper, modified schemes are proposed for preventing a grey wolf optimizer (GWO) from premature exploration and convergence on optimization problems. Three novel strategies are developed to improve the performance of existing GWO. The first strategy uses the concept of prey weight. The second strategy uses the astrophysics concepts, which guide the grey wolves toward more promising areas of the search space. The beauty of this strategy is to let each grey wolf learn from not only movement of sun (symbolizes prey) in the search space but also the wolves are made to explore and exploit simultaneously. Third strategy combines the both, first and second strategies to take advantages of prey weight and astrophysics strategies. The proposed improvements in GWO have been evaluated on thirteen benchmark test functions. The performance of the proposed modifications has been compared with other five recently developed state-of-the-art techniques. The effects of scalability, noise, and control parameter have also been investigated. The statistical tests have been performed to validate the significance of modified variants. The proposed variants are also applied for seven well-known constrained engineering design problems. The experimental results depict the supremacy of the proposed modified algorithm in solving engineering design problems when compared with several existing techniques.

      PubDate: 2017-05-26T06:29:04Z
      DOI: 10.1016/j.advengsoft.2017.05.008
  • Corroded pipeline failure analysis using artificial neural network scheme
    • Authors: Wen-Zheng Xu; Chun Bao Li; Joonmo Choung; Jae-Myung Lee
      Abstract: Publication date: Available online 22 May 2017
      Source:Advances in Engineering Software
      Author(s): Wen-Zheng Xu, Chun Bao Li, Joonmo Choung, Jae-Myung Lee
      Corrosion defects occur very often on the internal and external surfaces of pipelines, which may result in a serious threat to the integrity of the pipelines. Numerous studies investigated failure behavior of corroded pipelines with single corrosion defects. However, few studies focus on interacting corrosion defects. Interacting defects are defined as defects with certain proximity that interact to reduce the overall strength of a pipeline. In the present study, the failure behavior of pipelines with interacting corrosion defects was studied using a finite element method, and then a solution was proposed to predict burst pressure using an artificial neural network. The solution was validated by experimental results in previous studies and compared with other existing assessment solutions to prove its applicability and efficiency.

      PubDate: 2017-05-26T06:29:04Z
      DOI: 10.1016/j.advengsoft.2017.05.006
  • An algorithm for decomposition of sub-domains and quadrilateral mesh
           generation with line constraints
    • Authors: X. Ma; G. Zhao; D. Zhang
      Abstract: Publication date: Available online 22 May 2017
      Source:Advances in Engineering Software
      Author(s): X. Ma, G. Zhao, D. Zhang
      The technique for quadrilateral mesh generation on arbitrary 2-D domain has been quite mature; however, the existing methods and software can not directly deal with mesh generation with internal line constraints. In flood analysis and other analysis, the analysis models often contain a large number of constraint lines. In mesh generation, the sides of elements besides constraint lines must be attached to constraint lines, so that boundary conditions can be defined on these constraint lines. In this paper, a general method for automatic quadrilateral mesh generation with internal line constraints is presented. The mesh generation process is mainly divided into two stages, i.e. the automatic decomposition of sub-domains and quadrilateral mesh generation in each sub-domain. The sub-domains enclosed by constraint lines and boundaries are determined automatically with the proposal algorithm in this paper. Then nodes are generated on each edge of sub-domains based on mesh size requirements. By solving an integer linear programming problem, the number of nodes on each edge is adjusted automatically, so that the total number of boundary nodes in each sub-domain is even, satisfying the necessary condition for generating all-quadrilateral mesh. For free constraint lines in each sub-domain, the method of regarding constraint lines as holes with zero area is proposed, so that constraint lines can be treated as internal boundaries. The merging method of constraint lines and outer boundary is given, which can deal with all possible distribution of constraint lines and has generality. The examples of mesh generation with a large number of constraint lines are given to demonstrate the reliability of proposed method.

      PubDate: 2017-05-26T06:29:04Z
      DOI: 10.1016/j.advengsoft.2017.05.004
  • A parallel two-level polynomial Jacobi–Davidson algorithm for large
           sparse PDE eigenvalue problems
    • Authors: Yu-Fen Cheng; Feng-Nan Hwang
      Abstract: Publication date: Available online 22 May 2017
      Source:Advances in Engineering Software
      Author(s): Yu-Fen Cheng, Feng-Nan Hwang
      Many scientific and engineering applications require accurate, fast, robust, and scalable numerical solution of large sparse algebraic polynomial eigenvalue problems (PEVP’s) that arise from some appropriate discretization of partial differential equations. The polynomial Jacobi-Davidson (PJD) algorithm has been numerically shown as a promising approach for the PEVP’s to finding the interior spectrum. The PJD algorithm is a subspace method, which extracts the candidate eigenpair from a search space and the space updated by embedding the solution of the correction equation at the JD iteration. In this research, we develop and study the two-level PJD algorithm for PEVP’s with emphasis on the application of the dissipative acoustic cubic eigenvalue problem. The proposed two-level PJD algorithm consists of two important ingredients: A good initial basis for the search space is constructed on the fine-level by using the interpolation of the coarse solution of the same eigenvalue problem in order to enhance the robustness of the algorithm. Also, an efficient and scalable two-level preconditioner based on the Schwarz framework is used for the correction equation. Some numerical examples obtained on a parallel cluster of computers are given in order to demonstrate the robustness and scalability of our PJD algorithm.

      PubDate: 2017-05-26T06:29:04Z
      DOI: 10.1016/j.advengsoft.2017.05.011
  • HyTest: Platform for Structural Hybrid Simulations with Finite Element
           Model Updating
    • Authors: Ge Yang; Bin Wu; Ge Ou; Zhen Wang; Shirley Dyke
      Abstract: Publication date: Available online 19 May 2017
      Source:Advances in Engineering Software
      Author(s): Ge Yang, Bin Wu, Ge Ou, Zhen Wang, Shirley Dyke
      Hybrid simulation has been demonstrated to be a powerful method to evaluate the system-level dynamic performance of structure. With the numerical substructure analyzed with finite element software and the difficult-to-model components tested with an experimental substructure, complex structures with sophisticated behaviors can readily be examined through a hybrid simulation. To coordinate and synchronize the substructures in hybrid simulation, software is required. In recent studies, model updating has been integrated into hybrid simulation to improve testing accuracy by updating the numerical model during the analysis. However, online model updating scheme requires some modifications in the typical hybrid simulation testing procedure, and this greater complexity is entailed in its implementation regarding the collaboration of identification algorithms with existing hybrid simulation software. To address this issue and broaden the utilization of hybrid simulation with model updating, an existing platform named HyTest originally for conventional hybrid simulation is extended for this purpose. This version of HyTest facilitates the online identification of material constitutive parameters using experimental measurements in its finite element based identification module. It also includes a data center with a uniform data transmission protocol to incorporate different substructures and modules. A numerical example is used to demonstrate the online identification of material parameters for concrete and steel models in a reinforced column, and to verify the accuracy of the identification module. Lastly the effectiveness of HyTest in conducting hybrid simulation with model updating is validated using actual hybrid tests on a steel frame.

      PubDate: 2017-05-21T06:13:29Z
      DOI: 10.1016/j.advengsoft.2017.05.007
  • Crashworthiness design of a steel–aluminum hybrid rail using
           multi-response objective-oriented sequential optimization
    • Authors: Jianguang Fang; Na Qiu; Xiuzhe An; Fenfen Xiong; Guangyong Sun; Qing Li
      Abstract: Publication date: Available online 19 May 2017
      Source:Advances in Engineering Software
      Author(s): Jianguang Fang, Na Qiu, Xiuzhe An, Fenfen Xiong, Guangyong Sun, Qing Li
      Hybrid structures with different materials have aroused increasing interest for their lightweight potential and excellent performances. This study explored the optimization design of steel–aluminum hybrid structures for the highly nonlinear impact scenario. A metamodel based multi-response objective-oriented sequential optimization was adopted, where Kriging models were updated with sequential training points. It was indicated that the sequential sampling strategy was able to obtain a much higher local accuracy in the neighborhood of the optimum and thus to yield a better optimum, although it did lead to a worse global accuracy over the entire design space. Furthermore, it was observed that the steel–aluminum hybrid structure was capable of decreasing the peak force and simultaneously enhancing the energy absorption, compared to the conventional mono-material structure.

      PubDate: 2017-05-21T06:13:29Z
      DOI: 10.1016/j.advengsoft.2017.05.013
  • Topological design optimization of lattice structures to maximize shear
    • Authors: Yixian Du; Hanzhao Li; Zhen Luo; Qihua Tian
      Abstract: Publication date: Available online 19 May 2017
      Source:Advances in Engineering Software
      Author(s): Yixian Du, Hanzhao Li, Zhen Luo, Qihua Tian
      To improve the poor shear performance of periodic lattice structure consisting of hexagonal unit cells, this study develops a new computational design method to apply topology optimization to search the best topological layout for lattice structures with enhanced shear stiffness. The design optimization problem of micro-cellular material is formulated based on the properties of macrostructure to maximize the shear modulus under a prescribed volume constraint using the energy-based homogenization method. The aim is to determine the optimal distribution of material phase within the periodic unit cell of lattice structure. The proposed energy-based homogenization procedure utilizes the sensitivity filter technique, especially, a modified optimal algorithm is proposed to evolve the microstructure of lattice materials with distinct topological boundaries. A high shear stiffness structure is obtained by solving the optimization model. Then, the mechanical equivalent properties are obtained and compared with those of the hexagonal honeycomb sandwich structure using a theoretical approach and the finite element method (FEM) according to the optimized structure. It demonstrates the effectiveness of the proposed method in this paper. Finally, the structure is manufactured, and then the properties are tested. Results show that the shear stiffness and bearing properties of the optimized lattice structure is better than that of the traditional honeycomb sandwich structure. In general, the proposed method can be effectively applied to the design of periodic lattice structures with high shear resistance and super bearing property.

      PubDate: 2017-05-21T06:13:29Z
      DOI: 10.1016/j.advengsoft.2017.04.011
  • Deforming grid generation for numerical simulations of fluid dynamics in
           sliding vane rotary machines
    • Authors: Giuseppe Bianchi; Sham Rane; Ahmed Kovacevic; Roberto Cipollone
      Abstract: Publication date: Available online 18 May 2017
      Source:Advances in Engineering Software
      Author(s): Giuseppe Bianchi, Sham Rane, Ahmed Kovacevic, Roberto Cipollone
      The limiting factor for the employment of advanced 3D CFD tools in the analysis and design of rotary vane machines is the unavailability of methods for generation of a computational grid suitable for fast and reliable numerical analysis. The paper addresses this issue through an analytical grid generation based on the user defined nodal displacement which discretizes the moving and deforming fluid domain of the sliding vane machine and ensures conservation of intrinsic quantities by maintaining the cell connectivity and structure. Mesh boundaries are defined as parametric curves generated using trigonometrical modelling of the axial cross section of the machine while the distribution of computational nodes is performed using algebraic algorithms with transfinite interpolation, post orthogonalisation and smoothing. Algebraic control functions are introduced for distribution of nodes on the rotor and casing boundaries in order to achieve good grid quality in terms of cell size and expansion. For testing of generated grids, single phase simulations of an industrial air rotary vane compressor are solved by use of commercial CFD solvers FLUENT and CFX. This paper presents implementation of the mesh motion algorithm, stability and robustness experienced with the solvers when working with highly deforming grids and the obtained flow results.

      PubDate: 2017-05-21T06:13:29Z
      DOI: 10.1016/j.advengsoft.2017.05.010
  • An integrated platform for design and numerical analysis of shield
           tunnelling processes on different levels of detail
    • Authors: Jelena Ninić; Christian Koch; Janosch Stascheit
      Abstract: Publication date: Available online 18 May 2017
      Source:Advances in Engineering Software
      Author(s): Jelena Ninić, Christian Koch, Janosch Stascheit
      Building and construction information modelling for decision making during the life cycle of infrastructure projects are vital tools for the analysis of complex, integrated, multi-disciplinary systems. The traditional design process is cumbersome and involves significant manual, time-consuming preparation and analysis as well as significant computational resources. To ensure a seamless workflow during the design and analysis and to minimise the computation time, we propose a novel concept of multi-level numerical simulations, enabling the modelling on different Levels of Detail (LoDs) for each physical component, process information, and analysis type. In this paper, we present SATBIM, an integrated platform for information modelling, structural analysis and visualisation of the mechanised tunnelling process for design support. Based on a multi-level integrated parametric Tunnel Information Model, numerical models for each component on different LoDs are developed, considering proper geometric as well as material representation, interfaces and the representation of the construction process. Our fully automatic modeller for arbitrary tunnel alignments provides a high degree of automation for the generation, the setup and the execution of the simulation model, connecting the multi-level information model with the open-source simulation software KRATOS. The software of SATBIM is organized in a modular way in order to offer high flexibility not only for further extensions, but also for adaptation to future improvements of the simulation software. The SATBIM platform enables practical, yet flexible and user-friendly generation of the tunnel structure for arbitrary alignments on different LoDs, supporting the design process and providing an insight into soil-structure interactions during construction.

      PubDate: 2017-05-21T06:13:29Z
      DOI: 10.1016/j.advengsoft.2017.05.012
  • Three-dimensional thermal stress analysis using the indirect BEM in
           conjunction with the radial integration method
    • Authors: Wenzhen Qu; Yaoming Zhang; Yan Gu; Fajie Wang
      Abstract: Publication date: Available online 16 May 2017
      Source:Advances in Engineering Software
      Author(s): Wenzhen Qu, Yaoming Zhang, Yan Gu, Fajie Wang
      Thermal stress analysis is one of key aspects in mechanical design. Based on the indirect boundary integral equation (BIE) and the radial integration method (RIM), this paper develops a boundary-only element method for the boundary stress analysis of three-dimensional (3D) static thermoelastic problems. A transformation system constructed with the normal and two special tangential vectors is used to regularize the singularity in the indirect BIE. The RIM is then employed to transform the domain integrals arising in both displacement and its derivative integral equations into the equivalent boundary integrals, which results in a pure boundary discretized algorithm. Several numerical experiments are provided to verify the accuracy and convergence of the present approach.

      PubDate: 2017-05-21T06:13:29Z
      DOI: 10.1016/j.advengsoft.2017.05.003
  • Multi-layered UL700 arch-grid module with inelastic buckling for localized
           reinforcement of soft ground
    • Authors: Dongkyu Lee; Jaehong Lee; Quoc Hoan Doan
      Abstract: Publication date: Available online 25 April 2017
      Source:Advances in Engineering Software
      Author(s): Dongkyu Lee, Jaehong Lee, Quoc Hoan Doan
      This research proposes the inelastic buckling and modal analysis to design optimal shape and size through UL700 steel arch-grid unit module which is for localized reinforcement of soft ground. The optimal arch-grid design is achieved among its most efficient design possibilities such as different plate type, extended grid, multi-story grid, combined grid. The steel arch-grid unit module is composed of a vertical member and a board member combined with the top and bottom sides of the said vertical member, including the horizontal member equipped with multiple arm parts combined with the center part into one body in the shape of a cross. The construction method for reinforcement of soft ground is proposed in detail in this research. Numerical experiments are provided to survey optimal shape and size of arch-grid structures with differential models applied to buckling analysis, modal and static load, in consideration of both linear and nonlinear behaviors, by using SAP2000 version 15.0.1 software. With sufficient features of steel arch-grid for supporting structural foundations, this research suggests the possibility of requiring more studies and of providing more applications in the field of constructional structures.

      PubDate: 2017-04-30T07:00:59Z
      DOI: 10.1016/j.advengsoft.2017.03.009
  • Grid generation on free-form surface using guide line advancing and
           surface flattening method
    • Authors: Boqing Gao; Chuanzhong Hao; Tierui Li; Jun Ye
      Abstract: Publication date: Available online 24 April 2017
      Source:Advances in Engineering Software
      Author(s): Boqing Gao, Chuanzhong Hao, Tierui Li, Jun Ye
      Automatic grid generation on a curved surface is important to more efficient design of free-form structures. However, it is neither a convenient nor an obvious task for engineers to create a discrete grid structure on a complex surface that meets the architectural requirements. Besides, research on the rapid grid generation methodology for free form structural design is still limited. In order to achieve better grid distribution of rods on free-form surface, a grid generation methodology which combines surface flattening technique with guide line method is put forward. The parametric domain of the free-form surface was firstly divided into a number of parts and a discrete free-form surface was accordingly formed by mapping the generated dividing points onto the curved surface. The free-form surface was then flattened based on the principle of identical area. Accordingly, the flattened rectangular lattices were fitted into the 2D surface where grids were formed by using the guide line method. Finally, the 2D grids were mapped onto the 3D surface, and grids were therefore generated on the given surface. A grid shape and rod length quality index was proposed to evaluate the shape of grid cells and rod lengths. The results show that the grid shape quality index and the deviation of rod length of the grid structure are reduced by up to 47% and 34% respectively by using the guide line method with surface flattening when compared to the method without surface flattening.

      PubDate: 2017-04-30T07:00:59Z
      DOI: 10.1016/j.advengsoft.2017.04.003
  • A novel meta-heuristic optimization algorithm: Thermal exchange
    • Authors: A. Kaveh; A. Dadras
      Abstract: Publication date: Available online 18 April 2017
      Source:Advances in Engineering Software
      Author(s): A. Kaveh, A. Dadras
      This paper introduces a new optimization algorithm based on Newton's law of cooling, which will be called Thermal Exchange Optimization algorithm. Newton's law of cooling states that the rate of heat loss of a body is proportional to the difference in temperatures between the body and its surroundings. Here, each agent is considered as a cooling object and by associating another agent as environment, a heat transferring and thermal exchange happens between them. The new temperature of the object is considered as its next position in search space. The performance of the algorithm is examined by some mathematical functions and four mechanical benchmark problems.

      PubDate: 2017-04-23T11:51:00Z
      DOI: 10.1016/j.advengsoft.2017.03.014
  • A multi-fidelity information fusion metamodeling assisted laser beam
           welding process parameter optimization approach
    • Authors: Qi Zhou; Yang Yang; Ping Jiang; Xinyu Shao; Longchao Cao; Jiexiang Hu; Zhongmei Gao; Chaochao Wang
      Abstract: Publication date: Available online 18 April 2017
      Source:Advances in Engineering Software
      Author(s): Qi Zhou, Yang Yang, Ping Jiang, Xinyu Shao, Longchao Cao, Jiexiang Hu, Zhongmei Gao, Chaochao Wang
      Selecting reasonable laser beam welding (LBW) process parameters is very helpful for obtaining a good welding bead profile and hence a high quality of the welding joint. Existing process parameter optimization approaches for LBW either based on cost-expensive physical experiments or low-fidelity (LF) computer simulations. This paper proposes a multi-fidelity (MF) metamodel based LBW process parameter optimization approach, in which different levels fidelity information, both from LF computer simulations and high-fidelity (HF) physical experiments can be integrated and fully exploited. In the proposed approach, a three-dimensional thermal finite element model is developed as the LF model, which is fitted with a LF metamodel firstly. Then, by taking the LF metamodel as a base model and scaling it using the HF physical experiments, a MF metamodel is constructed to approximate the relationships between the LBW process parameters and the bead profile. Two metrics are adopted to compare the prediction accuracy of the MF metamodel with the single-fidelity metamodels solely constructed with physical experiments or computer simulations. Results illustrate that the MF metamodel outperforms the single-fidelity metamodels both in global and local accuracy. Finally, the fast elitist non-dominated sorting genetic algorithm (NSGA-II) is used to facilitate LBW process parameter space exploration and multi-objective Pareto optima search. LBW verification experiments verify the effectiveness and reliability of the obtained optimal process parameters.

      PubDate: 2017-04-23T11:51:00Z
      DOI: 10.1016/j.advengsoft.2017.04.001
  • Editorial Board/Publishing Info
    • Abstract: Publication date: July 2017
      Source:Advances in Engineering Software, Volume 109

      PubDate: 2017-04-16T11:34:52Z
  • Coupling parallel adaptive mesh refinement with a nonoverlapping domain
           decomposition solver
    • Authors: Pavel Kůs; Jakub Šístek
      Abstract: Publication date: Available online 7 April 2017
      Source:Advances in Engineering Software
      Author(s): Pavel Kůs, Jakub Šístek
      We study the effect of adaptive mesh refinement on a parallel domain decomposition solver of a linear system of algebraic equations. These concepts need to be combined within a parallel adaptive finite element software. A prototype implementation is presented for this purpose. It uses adaptive mesh refinement with one level of hanging nodes. Two and three-level versions of the Balancing Domain Decomposition based on Constraints (BDDC) method are used to solve the arising system of algebraic equations. The basic concepts are recalled and components necessary for the combination are studied in detail. Of particular interest is the effect of disconnected subdomains, a typical output of the employed mesh partitioning based on space-filling curves, on the convergence and solution time of the BDDC method. It is demonstrated using a large set of experiments that while both refined meshes and disconnected subdomains have a negative effect on the convergence of BDDC, the number of iterations remains acceptable. In addition, scalability of the three-level BDDC solver remains good on up to a few thousands of processor cores. The largest presented problem using adaptive mesh refinement has over 109 unknowns and is solved on 2048 cores.

      PubDate: 2017-04-09T11:55:40Z
      DOI: 10.1016/j.advengsoft.2017.03.012
  • Development and validation of software for rapid performance estimation of
           small RPAS
    • Authors: Hugo Aliaga-Aguilar; Cristina Cuerno-Rejado
      Abstract: Publication date: Available online 6 April 2017
      Source:Advances in Engineering Software
      Author(s): Hugo Aliaga-Aguilar, Cristina Cuerno-Rejado
      There is a high demand for small unmanned aircraft for a wide variety of missions. The relatively limited experience and resources of new commercial companies renders it almost impossible for them to tackle a complete design process with the same quality and results as bigger and more experienced companies. We aim to develop a full rapid design methodology software for such aircraft and present the first step in the process in the form of a performance estimation model. This model is tested with data from ten different commercially available RPAS, as well as two additional RPAS for aerodynamic validation. A comparison between the results obtained by means of this model and the manufacturers’ data is presented.

      PubDate: 2017-04-09T11:55:40Z
      DOI: 10.1016/j.advengsoft.2017.03.010
  • Automated low cost scheduling driven watermarking methodology for modern
           CAD high-level synthesis tools
    • Authors: Anirban Sengupta; Dipanjan Roy
      Abstract: Publication date: Available online 4 April 2017
      Source:Advances in Engineering Software
      Author(s): Anirban Sengupta, Dipanjan Roy
      This paper presents a novel low cost scheduling driven watermarking methodology for modern computer aided design (CAD) high level synthesis tools. The proposed watermarking algorithm is embedded in the scheduling module of a CAD high level synthesis (HLS) tool. The presented watermarking methodology is capable of reusable intellectual property (IP) core protection of control data flow graphs (CDFG) from a vendor's perspective based on user provided resource constraint and loop unrolling factor as inputs. The proposed low cost robust watermarking embedded inside high level synthesis process protects an IP core against threats such as false claim of ownership and piracy. The proposed watermarking satisfies desirable properties such as covertness, robustness, low embedding cost and low complexity. Results of comparison indicated significant reduction in embedding cost through proposed technique than similar state of the art techniques.

      PubDate: 2017-04-09T11:55:40Z
      DOI: 10.1016/j.advengsoft.2017.03.008
  • New prediction models for concrete ultimate strength under true-triaxial
           stress states: An evolutionary approach
    • Authors: Saeed K. Babanajad; Amir H. Gandomi; Amir H. Alavi
      Abstract: Publication date: Available online 4 April 2017
      Source:Advances in Engineering Software
      Author(s): Saeed K. Babanajad, Amir H. Gandomi, Amir H. Alavi
      The complexity associated with the in-homogeneous nature of concrete suggests the necessity of conducting more in-depth behavioral analysis of this material in terms of different loading configurations. Distinctive feature of Gene Expression Programming (GEP) has been employed to derive computer-aided prediction models for the multiaxial strength of concrete under true-triaxial loading. The proposed models correlate the concrete true-triaxial strength (σ1) to mix design parameters and principal stresses (σ2,σ3), needless of conducting any time-consuming laboratory experiments. A comprehensive true-triaxial database is obtained from the literature to build the proposed models, subsequently implemented for the verification purposes. External validations as well as sensitivity analysis are further carried out using several statistical criteria recommended by researchers. More, they demonstrate superior performance to the other existing empirical and analytical models. The proposed design equations can readily be used for pre-design purposes or may be used as a fast check on deterministic solutions.

      PubDate: 2017-04-09T11:55:40Z
      DOI: 10.1016/j.advengsoft.2017.03.011
  • Editorial Board/Publishing Info
    • Abstract: Publication date: June 2017
      Source:Advances in Engineering Software, Volume 108

      PubDate: 2017-04-02T01:46:42Z
  • An enhanced honey bee mating optimization algorithm for design of side
           sway steel frames
    • Authors: Mahmoud R Maheri; H. Shokrian; M.M. Narimani
      Abstract: Publication date: Available online 27 March 2017
      Source:Advances in Engineering Software
      Author(s): Mahmoud R Maheri, H. Shokrian, M.M. Narimani
      Honeybee mating is a swarm-based meta-heuristic optimization method where the search algorithm is inspired by the process of mating in honeybees. In this paper, a new improved algorithm is proposed which performs remarkably better than the basic honeybee mating optimization process and is very competitive with other meta-heuristic optimization algorithms reported in the literature. The new algorithm, termed as enhanced honey bee mating optimization (EHBMO) algorithm, uses the concept of giving weight to distant candidates which are slightly less feasible than the current local candidates but may hold information about the location of global optima further afield. The robustness of the algorithm in terms of both solution quality and computational cost is proven by solving four design optimization problems of side sway steel frames.

      PubDate: 2017-04-02T01:46:42Z
      DOI: 10.1016/j.advengsoft.2017.03.006
  • A methodology for microstructure-based structural optimization of cast and
           injection moulded parts using knowledge-based design automation
    • Authors: Jakob Olofsson; Kent Salomonsson; Joel Johansson; Kaveh Amouzgar
      Abstract: Publication date: Available online 24 March 2017
      Source:Advances in Engineering Software
      Author(s): Jakob Olofsson, Kent Salomonsson, Joel Johansson, Kaveh Amouzgar
      The local material behaviour of cast metal and injection moulded parts is highly related to the geometrical design of the part as well as to a large number of process parameters. In order to use structural optimization methods to find the geometry that gives the best possible performance, both the geometry and the effect of the production process on the local material behaviour thus has to be considered. In this work, a multidisciplinary methodology to consider local microstructure-based material behaviour in optimizations of the design of engineering structures is presented. By adopting a knowledge-based industrial product realisation perspective combined with a previously presented simulation strategy for microstructure-based material behaviour in Finite Element Analyses (FEA), the methodology integrates Computer Aided Design (CAD), casting and injection moulding simulations, FEA, design automation and a multi-objective optimization scheme into a novel structural optimization method for cast metal and injection moulded polymeric parts. The different concepts and modules in the methodology are described, their implementation into a prototype software is outlined, and the application and relevance of the methodology is discussed.

      PubDate: 2017-04-02T01:46:42Z
      DOI: 10.1016/j.advengsoft.2017.03.003
  • Fuzzy modeling of wave-shielding under consideration of cost-effectiveness
           for an efficient reduction of uncertainty
    • Authors: Wolfgang E. Weber; Uwe Reuter
      Abstract: Publication date: Available online 24 March 2017
      Source:Advances in Engineering Software
      Author(s): Wolfgang E. Weber, Uwe Reuter
      The shielding of waves is an appropriate method to protect human beings, livestock, as well as structures and commercial goods from the harmful effects of dynamic loads. Areas of application of the concept of shielding range from ocean and coastal engineering, acoustics, to civil as well as mechanical engineering. Materials that can be effective in constructing shielding structural components and facilities are primarily cementitious composites as well as various categories of non-cementitious composites. However, the planning and production processes behind these low-cost materials is often characterized by uncertain information regarding their mechanical properties and even their dimensions. This leads to uncertainty in the forecasting of their overall performance, as well as their effectiveness in shielding incoming elastic, acoustic and water waves. In this paper, a new approach is presented which allows for improving these performance forecasts. In the proposed interdisciplinary procedure used here, the cost-effectiveness fuzzy analysis is connected to an appropriate mechanical model describing the shielding of elastic waves. This analysis procedure leads to a reduction of epistemic uncertainty. This can be achieved provided additional monetary investment is made, as proposed for the first time here, in order to improve the production quality of these shielding materials.

      PubDate: 2017-04-02T01:46:42Z
      DOI: 10.1016/j.advengsoft.2017.03.005
  • A microstructure modeling scheme for unidirectional composites using
           signed distance function based boundary smoothing and element trimming
    • Authors: Jae Hyuk Lim; Hobeom Kim; Sun-Won Kim; Dongwoo Sohn
      Abstract: Publication date: Available online 22 March 2017
      Source:Advances in Engineering Software
      Author(s): Jae Hyuk Lim, Hobeom Kim, Sun-Won Kim, Dongwoo Sohn
      A simple and accurate scheme for modeling microstructures is proposed with the help of element trimming combined with signed distance function based boundary smoothing. To accommodate randomly distributed fibers in unidirectional composites, digital image processing is used. The interfaces of multi-materials are identified by introducing a signed distance function, and then, square background elements crossing the interfaces are simply trimmed and divided to represent a single material behavior by a single element. After element trimming, the elements that are polygon-shaped in the two-dimensional domain are split into conventional three-node triangle elements (six-node prism elements in the three-dimensional domain) available in many commercial software packages. The present modeling scheme was verified through benchmark examples in terms of the accuracy and efficiency and then applied to the modeling of unidirectional composites based on real microscopic images to evaluate the equivalent elastic properties.

      PubDate: 2017-04-02T01:46:42Z
      DOI: 10.1016/j.advengsoft.2017.02.014
  • A computational strategy to establish algebraic parameters for the
           Reference Resistance Design of metal shell structures
    • Authors: Adam J. Sadowski; O. Kunle Fajuyitan; Jie Wang
      Abstract: Publication date: Available online 18 March 2017
      Source:Advances in Engineering Software
      Author(s): Adam J. Sadowski, O. Kunle Fajuyitan, Jie Wang
      The new Reference Resistance Design (RRD) method, recently developed by Rotter [1], for the manual dimensioning of metal shell structures effectively permits an analyst working with only a calculator or spreadsheet to take full advantage of the realism and accuracy of an advanced nonlinear finite element (FE) calculation. The method achieves this by reformulating the outcomes of a vast programme of parametric FE calculations in terms of six algebraic parameters and two resistances, each representing a physical aspect of the shell's behaviour. The formidable challenge now is to establish these parameters and resistances for the most important shell geometries and load cases. The systems that have received by far the most research attention for RRD are that of a cylindrical shell under uniform axial compression and uniform bending. Their partial algebraic characterisations required thousands of finite element calculations to be performed across a four-dimensional parameter hyperspace (i.e. length, radius to thickness ratio, imperfection amplitude, linear strain hardening modulus). Handling so many nonlinear finite element models is time-consuming and the quantities of data generated can be overwhelming. This paper illustrates a computational strategy to deal with both issues that may help researchers establish sets of RRD parameters for other important shell systems with greater confidence and accuracy. The methodology involves full automation of model generation, submission, termination and processing with object-oriented scripting, illustrated using code and pseudocode fragments.

      PubDate: 2017-04-02T01:46:42Z
      DOI: 10.1016/j.advengsoft.2017.02.012
  • 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
  • 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
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