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Publisher: Elsevier   (Total: 3031 journals)

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Showing 1 - 200 of 3031 Journals sorted alphabetically
AASRI Procedia     Open Access   (Followers: 15)
Academic Pediatrics     Hybrid Journal   (Followers: 20, SJR: 1.402, h-index: 51)
Academic Radiology     Hybrid Journal   (Followers: 16, SJR: 1.008, h-index: 75)
Accident Analysis & Prevention     Partially Free   (Followers: 79, SJR: 1.109, h-index: 94)
Accounting Forum     Hybrid Journal   (Followers: 22, SJR: 0.612, h-index: 27)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 27, SJR: 2.515, h-index: 90)
Achievements in the Life Sciences     Open Access   (Followers: 4)
Acta Anaesthesiologica Taiwanica     Open Access   (Followers: 5, SJR: 0.338, h-index: 19)
Acta Astronautica     Hybrid Journal   (Followers: 302, SJR: 0.726, h-index: 43)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Biomaterialia     Hybrid Journal   (Followers: 25, SJR: 2.02, h-index: 104)
Acta Colombiana de Cuidado Intensivo     Full-text available via subscription  
Acta de Investigación Psicológica     Open Access   (Followers: 2)
Acta Ecologica Sinica     Open Access   (Followers: 8, SJR: 0.172, h-index: 29)
Acta Haematologica Polonica     Free   (SJR: 0.123, h-index: 8)
Acta Histochemica     Hybrid Journal   (Followers: 3, SJR: 0.604, h-index: 38)
Acta Materialia     Hybrid Journal   (Followers: 195, SJR: 3.683, h-index: 202)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 5, SJR: 0.615, h-index: 21)
Acta Mechanica Solida Sinica     Full-text available via subscription   (Followers: 9, SJR: 0.442, h-index: 21)
Acta Oecologica     Hybrid Journal   (Followers: 9, SJR: 0.915, h-index: 53)
Acta Otorrinolaringologica (English Edition)     Full-text available via subscription   (Followers: 1)
Acta Otorrinolaringológica Española     Full-text available via subscription   (Followers: 3, SJR: 0.311, h-index: 16)
Acta Pharmaceutica Sinica B     Open Access   (Followers: 2)
Acta Poética     Open Access   (Followers: 4)
Acta Psychologica     Hybrid Journal   (Followers: 21, SJR: 1.365, h-index: 73)
Acta Sociológica     Open Access  
Acta Tropica     Hybrid Journal   (Followers: 5, SJR: 1.059, h-index: 77)
Acta Urológica Portuguesa     Open Access  
Actas Dermo-Sifiliograficas     Full-text available via subscription   (Followers: 4)
Actas Dermo-Sifiliográficas (English Edition)     Full-text available via subscription   (Followers: 3)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3, SJR: 0.383, h-index: 19)
Actas Urológicas Españolas (English Edition)     Full-text available via subscription   (Followers: 2)
Actualites Pharmaceutiques     Full-text available via subscription   (Followers: 5, SJR: 0.141, h-index: 3)
Actualites Pharmaceutiques Hospitalieres     Full-text available via subscription   (Followers: 4, SJR: 0.112, h-index: 2)
Acupuncture and Related Therapies     Hybrid Journal   (Followers: 4)
Ad Hoc Networks     Hybrid Journal   (Followers: 11, SJR: 0.967, h-index: 57)
Addictive Behaviors     Hybrid Journal   (Followers: 15, SJR: 1.514, h-index: 92)
Addictive Behaviors Reports     Open Access   (Followers: 5)
Additive Manufacturing     Hybrid Journal   (Followers: 7, SJR: 1.039, h-index: 5)
Additives for Polymers     Full-text available via subscription   (Followers: 20)
Advanced Drug Delivery Reviews     Hybrid Journal   (Followers: 119, SJR: 5.2, h-index: 222)
Advanced Engineering Informatics     Hybrid Journal   (Followers: 11, SJR: 1.265, h-index: 53)
Advanced Powder Technology     Hybrid Journal   (Followers: 16, SJR: 0.739, h-index: 33)
Advances in Accounting     Hybrid Journal   (Followers: 8, SJR: 0.299, h-index: 15)
Advances in Agronomy     Full-text available via subscription   (Followers: 15, SJR: 2.071, h-index: 82)
Advances in Anesthesia     Full-text available via subscription   (Followers: 24, SJR: 0.169, h-index: 4)
Advances in Antiviral Drug Design     Full-text available via subscription   (Followers: 3)
Advances in Applied Mathematics     Full-text available via subscription   (Followers: 6, SJR: 1.054, h-index: 35)
Advances in Applied Mechanics     Full-text available via subscription   (Followers: 10, SJR: 0.801, h-index: 26)
Advances in Applied Microbiology     Full-text available via subscription   (Followers: 21, SJR: 1.286, h-index: 49)
Advances In Atomic, Molecular, and Optical Physics     Full-text available via subscription   (Followers: 16, SJR: 3.31, h-index: 42)
Advances in Biological Regulation     Hybrid Journal   (Followers: 4, SJR: 2.277, h-index: 43)
Advances in Botanical Research     Full-text available via subscription   (Followers: 3, SJR: 0.619, h-index: 48)
Advances in Cancer Research     Full-text available via subscription   (Followers: 26, SJR: 2.215, h-index: 78)
Advances in Carbohydrate Chemistry and Biochemistry     Full-text available via subscription   (Followers: 9, SJR: 0.9, h-index: 30)
Advances in Catalysis     Full-text available via subscription   (Followers: 5, SJR: 2.139, h-index: 42)
Advances in Cellular and Molecular Biology of Membranes and Organelles     Full-text available via subscription   (Followers: 12)
Advances in Chemical Engineering     Full-text available via subscription   (Followers: 24, SJR: 0.183, h-index: 23)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 10, SJR: 0.665, h-index: 29)
Advances in Chronic Kidney Disease     Full-text available via subscription   (Followers: 8, SJR: 1.268, h-index: 45)
Advances in Clinical Chemistry     Full-text available via subscription   (Followers: 28, SJR: 0.938, h-index: 33)
Advances in Colloid and Interface Science     Full-text available via subscription   (Followers: 18, SJR: 2.314, h-index: 130)
Advances in Computers     Full-text available via subscription   (Followers: 16, SJR: 0.223, h-index: 22)
Advances in Developmental Biology     Full-text available via subscription   (Followers: 11)
Advances in Digestive Medicine     Open Access   (Followers: 4)
Advances in DNA Sequence-Specific Agents     Full-text available via subscription   (Followers: 5)
Advances in Drug Research     Full-text available via subscription   (Followers: 22)
Advances in Ecological Research     Full-text available via subscription   (Followers: 39, SJR: 3.25, h-index: 43)
Advances in Engineering Software     Hybrid Journal   (Followers: 25, SJR: 0.486, h-index: 10)
Advances in Experimental Biology     Full-text available via subscription   (Followers: 7)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 38, SJR: 5.465, h-index: 64)
Advances in Exploration Geophysics     Full-text available via subscription   (Followers: 3)
Advances in Fluorine Science     Full-text available via subscription   (Followers: 8)
Advances in Food and Nutrition Research     Full-text available via subscription   (Followers: 41, SJR: 0.674, h-index: 38)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 14)
Advances in Genetics     Full-text available via subscription   (Followers: 15, SJR: 2.558, h-index: 54)
Advances in Genome Biology     Full-text available via subscription   (Followers: 11)
Advances in Geophysics     Full-text available via subscription   (Followers: 6, SJR: 2.325, h-index: 20)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 18, SJR: 0.906, h-index: 24)
Advances in Heterocyclic Chemistry     Full-text available via subscription   (Followers: 8, SJR: 0.497, h-index: 31)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 22)
Advances in Imaging and Electron Physics     Full-text available via subscription   (Followers: 2, SJR: 0.396, h-index: 27)
Advances in Immunology     Full-text available via subscription   (Followers: 33, SJR: 4.152, h-index: 85)
Advances in Inorganic Chemistry     Full-text available via subscription   (Followers: 9, SJR: 1.132, h-index: 42)
Advances in Insect Physiology     Full-text available via subscription   (Followers: 3, SJR: 1.274, h-index: 27)
Advances in Integrative Medicine     Hybrid Journal   (Followers: 4)
Advances in Intl. Accounting     Full-text available via subscription   (Followers: 4)
Advances in Life Course Research     Hybrid Journal   (Followers: 7, SJR: 0.764, h-index: 15)
Advances in Lipobiology     Full-text available via subscription   (Followers: 1)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Marine Biology     Full-text available via subscription   (Followers: 16, SJR: 1.645, h-index: 45)
Advances in Mathematics     Full-text available via subscription   (Followers: 10, SJR: 3.261, h-index: 65)
Advances in Medical Sciences     Hybrid Journal   (Followers: 5, SJR: 0.489, h-index: 25)
Advances in Medicinal Chemistry     Full-text available via subscription   (Followers: 5)
Advances in Microbial Physiology     Full-text available via subscription   (Followers: 4, SJR: 1.44, h-index: 51)
Advances in Molecular and Cell Biology     Full-text available via subscription   (Followers: 21)
Advances in Molecular and Cellular Endocrinology     Full-text available via subscription   (Followers: 10)
Advances in Molecular Toxicology     Full-text available via subscription   (Followers: 6, SJR: 0.324, h-index: 8)
Advances in Nanoporous Materials     Full-text available via subscription   (Followers: 3)
Advances in Oncobiology     Full-text available via subscription   (Followers: 3)
Advances in Organometallic Chemistry     Full-text available via subscription   (Followers: 15, SJR: 2.885, h-index: 45)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7, SJR: 0.148, h-index: 11)
Advances in Parasitology     Full-text available via subscription   (Followers: 7, SJR: 2.37, h-index: 73)
Advances in Pediatrics     Full-text available via subscription   (Followers: 20, SJR: 0.4, h-index: 28)
Advances in Pharmaceutical Sciences     Full-text available via subscription   (Followers: 14)
Advances in Pharmacology     Full-text available via subscription   (Followers: 13, SJR: 1.718, h-index: 58)
Advances in Physical Organic Chemistry     Full-text available via subscription   (Followers: 7, SJR: 0.384, h-index: 26)
Advances in Phytomedicine     Full-text available via subscription  
Advances in Planar Lipid Bilayers and Liposomes     Full-text available via subscription   (Followers: 3, SJR: 0.248, h-index: 11)
Advances in Plant Biochemistry and Molecular Biology     Full-text available via subscription   (Followers: 8)
Advances in Plant Pathology     Full-text available via subscription   (Followers: 5)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Protein Chemistry     Full-text available via subscription   (Followers: 18)
Advances in Protein Chemistry and Structural Biology     Full-text available via subscription   (Followers: 17, SJR: 1.5, h-index: 62)
Advances in Psychology     Full-text available via subscription   (Followers: 56)
Advances in Quantum Chemistry     Full-text available via subscription   (Followers: 5, SJR: 0.478, h-index: 32)
Advances in Radiation Oncology     Open Access  
Advances in Small Animal Medicine and Surgery     Hybrid Journal   (Followers: 1, SJR: 0.1, h-index: 2)
Advances in Space Research     Full-text available via subscription   (Followers: 332, SJR: 0.606, h-index: 65)
Advances in Structural Biology     Full-text available via subscription   (Followers: 7)
Advances in Surgery     Full-text available via subscription   (Followers: 6, SJR: 0.823, h-index: 27)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 28, SJR: 1.321, h-index: 56)
Advances in Veterinary Medicine     Full-text available via subscription   (Followers: 14)
Advances in Veterinary Science and Comparative Medicine     Full-text available via subscription   (Followers: 12)
Advances in Virus Research     Full-text available via subscription   (Followers: 5, SJR: 1.878, h-index: 68)
Advances in Water Resources     Hybrid Journal   (Followers: 42, SJR: 2.408, h-index: 94)
Aeolian Research     Hybrid Journal   (Followers: 5, SJR: 0.973, h-index: 22)
Aerospace Science and Technology     Hybrid Journal   (Followers: 303, SJR: 0.816, h-index: 49)
AEU - Intl. J. of Electronics and Communications     Hybrid Journal   (Followers: 8, SJR: 0.318, h-index: 36)
African J. of Emergency Medicine     Open Access   (Followers: 4, SJR: 0.344, h-index: 6)
Ageing Research Reviews     Hybrid Journal   (Followers: 7, SJR: 3.289, h-index: 78)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 389, SJR: 1.385, h-index: 72)
Agri Gene     Hybrid Journal  
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 15, SJR: 2.18, h-index: 116)
Agricultural Systems     Hybrid Journal   (Followers: 29, SJR: 1.275, h-index: 74)
Agricultural Water Management     Hybrid Journal   (Followers: 36, SJR: 1.546, h-index: 79)
Agriculture and Agricultural Science Procedia     Open Access  
Agriculture and Natural Resources     Open Access   (Followers: 1)
Agriculture, Ecosystems & Environment     Hybrid Journal   (Followers: 48, SJR: 1.879, h-index: 120)
Ain Shams Engineering J.     Open Access   (Followers: 5, SJR: 0.434, h-index: 14)
Air Medical J.     Hybrid Journal   (Followers: 3, SJR: 0.234, h-index: 18)
AKCE Intl. J. of Graphs and Combinatorics     Open Access   (SJR: 0.285, h-index: 3)
Alcohol     Hybrid Journal   (Followers: 9, SJR: 0.922, h-index: 66)
Alcoholism and Drug Addiction     Open Access   (Followers: 5)
Alergologia Polska : Polish J. of Allergology     Full-text available via subscription   (Followers: 1)
Alexandria Engineering J.     Open Access   (Followers: 1, SJR: 0.436, h-index: 12)
Alexandria J. of Medicine     Open Access  
Algal Research     Partially Free   (Followers: 7, SJR: 2.05, h-index: 20)
Alkaloids: Chemical and Biological Perspectives     Full-text available via subscription   (Followers: 3)
Allergologia et Immunopathologia     Full-text available via subscription   (Followers: 1, SJR: 0.46, h-index: 29)
Allergology Intl.     Open Access   (Followers: 5, SJR: 0.776, h-index: 35)
ALTER - European J. of Disability Research / Revue Européenne de Recherche sur le Handicap     Full-text available via subscription   (Followers: 6, SJR: 0.158, h-index: 9)
Alzheimer's & Dementia     Hybrid Journal   (Followers: 45, SJR: 4.289, h-index: 64)
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring     Open Access   (Followers: 5)
Alzheimer's & Dementia: Translational Research & Clinical Interventions     Open Access   (Followers: 3)
American Heart J.     Hybrid Journal   (Followers: 45, SJR: 3.157, h-index: 153)
American J. of Cardiology     Hybrid Journal   (Followers: 47, SJR: 2.063, h-index: 186)
American J. of Emergency Medicine     Hybrid Journal   (Followers: 34, SJR: 0.574, h-index: 65)
American J. of Geriatric Pharmacotherapy     Full-text available via subscription   (Followers: 6, SJR: 1.091, h-index: 45)
American J. of Geriatric Psychiatry     Hybrid Journal   (Followers: 14, SJR: 1.653, h-index: 93)
American J. of Human Genetics     Hybrid Journal   (Followers: 32, SJR: 8.769, h-index: 256)
American J. of Infection Control     Hybrid Journal   (Followers: 25, SJR: 1.259, h-index: 81)
American J. of Kidney Diseases     Hybrid Journal   (Followers: 31, SJR: 2.313, h-index: 172)
American J. of Medicine     Hybrid Journal   (Followers: 48, SJR: 2.023, h-index: 189)
American J. of Medicine Supplements     Full-text available via subscription   (Followers: 3)
American J. of Obstetrics and Gynecology     Hybrid Journal   (Followers: 173, SJR: 2.255, h-index: 171)
American J. of Ophthalmology     Hybrid Journal   (Followers: 51, SJR: 2.803, h-index: 148)
American J. of Ophthalmology Case Reports     Open Access   (Followers: 2)
American J. of Orthodontics and Dentofacial Orthopedics     Full-text available via subscription   (Followers: 6, SJR: 1.249, h-index: 88)
American J. of Otolaryngology     Hybrid Journal   (Followers: 22, SJR: 0.59, h-index: 45)
American J. of Pathology     Hybrid Journal   (Followers: 23, SJR: 2.653, h-index: 228)
American J. of Preventive Medicine     Hybrid Journal   (Followers: 21, SJR: 2.764, h-index: 154)
American J. of Surgery     Hybrid Journal   (Followers: 32, SJR: 1.286, h-index: 125)
American J. of the Medical Sciences     Hybrid Journal   (Followers: 13, SJR: 0.653, h-index: 70)
Ampersand : An Intl. J. of General and Applied Linguistics     Open Access   (Followers: 5)
Anaerobe     Hybrid Journal   (Followers: 4, SJR: 1.066, h-index: 51)
Anaesthesia & Intensive Care Medicine     Full-text available via subscription   (Followers: 52, SJR: 0.124, h-index: 9)
Anaesthesia Critical Care & Pain Medicine     Full-text available via subscription   (Followers: 3)
Anales de Cirugia Vascular     Full-text available via subscription  
Anales de Pediatría     Full-text available via subscription   (Followers: 2, SJR: 0.209, h-index: 27)
Anales de Pediatría (English Edition)     Full-text available via subscription  
Anales de Pediatría Continuada     Full-text available via subscription   (SJR: 0.104, h-index: 3)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 2, SJR: 2.577, h-index: 7)
Analytica Chimica Acta     Hybrid Journal   (Followers: 38, SJR: 1.548, h-index: 152)
Analytical Biochemistry     Hybrid Journal   (Followers: 152, SJR: 0.725, h-index: 154)
Analytical Chemistry Research     Open Access   (Followers: 7, SJR: 0.18, h-index: 2)
Analytical Spectroscopy Library     Full-text available via subscription   (Followers: 10)
Anesthésie & Réanimation     Full-text available via subscription  
Anesthesiology Clinics     Full-text available via subscription   (Followers: 21, SJR: 0.421, h-index: 40)
Angiología     Full-text available via subscription   (SJR: 0.124, h-index: 9)
Angiologia e Cirurgia Vascular     Open Access  
Animal Behaviour     Hybrid Journal   (Followers: 141, SJR: 1.907, h-index: 126)
Animal Feed Science and Technology     Hybrid Journal   (Followers: 5, SJR: 1.151, h-index: 83)
Animal Reproduction Science     Hybrid Journal   (Followers: 5, SJR: 0.711, h-index: 78)
Annales d'Endocrinologie     Full-text available via subscription   (SJR: 0.394, h-index: 30)
Annales d'Urologie     Full-text available via subscription  
Annales de Cardiologie et d'Angéiologie     Full-text available via subscription   (SJR: 0.177, h-index: 13)
Annales de Chirurgie de la Main et du Membre Supérieur     Full-text available via subscription  
Annales de Chirurgie Plastique Esthétique     Full-text available via subscription   (Followers: 2, SJR: 0.354, h-index: 22)
Annales de Chirurgie Vasculaire     Full-text available via subscription   (Followers: 1)

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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  [3031 journals]
  • Seismic parameters’ combinations for the optimum prediction of the
           damage state of R/C buildings using neural networks
    • Authors: Konstantinos Morfidis; Konstantinos Kostinakis
      Pages: 1 - 16
      Abstract: Publication date: April 2017
      Source:Advances in Engineering Software, Volume 106
      Author(s): Konstantinos Morfidis, Konstantinos Kostinakis
      The aim of the present paper is to investigate the number and the combination of 14 seismic parameters through which an optimum prediction for the damage state of r/c buildings can be achieved using Artificial Neural Networks (ANNs). Multilayer perceptron networks are utilized. For the training of the ANNs a data set is created using results from Nonlinear Time History Analyses of 30 r/c buildings with different structural dynamic characteristics, which are subjected to 65 actual ground motions. The Maximum Interstorey Drift Ratio is used as the damage index. Two versions of the “Stepwise method”, i.e. the Forward Stepwise Method and the Backward Stepwise Method, as well as the “Weights Method”, are adopted as methods for the investigation of the most effective combinations of the examined seismic parameters. The most significant conclusion that turned out is that ANNs can predict adequately the seismic damage state of r/c buildings if at least 5 seismic parameters are used as inputs. The classification of the seismic parameters on the basis of their correlation with the damage state is not unique, since it depends to the configuration and the training algorithm of ANNs as well as the method which is utilized for the classification.

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

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

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

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

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

      PubDate: 2017-01-24T17:15:25Z
      DOI: 10.1016/j.advengsoft.2017.01.007
      Issue No: Vol. 105 (2017)
       
  • Abaqus2Matlab: A suitable tool for finite element post-processing
    • Authors: George Papazafeiropoulos; Miguel Muñiz-Calvente; Emilio Martínez-Pañeda
      Pages: 9 - 16
      Abstract: Publication date: March 2017
      Source:Advances in Engineering Software, Volume 105
      Author(s): George Papazafeiropoulos, Miguel Muñiz-Calvente, Emilio Martínez-Pañeda
      A suitable piece of software is presented to connect Abaqus, a sophisticated finite element package, with Matlab, the most comprehensive program for mathematical analysis. This interface between these well-known codes not only benefits from the image processing and the integrated graph-plotting features of Matlab but also opens up new opportunities in results post-processing, statistical analysis and mathematical optimization, among many other possibilities. The software architecture and usage are appropriately described and two problems of particular engineering significance are addressed to demonstrate its capabilities. Firstly, the software is employed to assess cleavage fracture through a novel 3-parameter Weibull probabilistic framework. Then, its potential to create and train neural networks is used to identify damage parameters through a hybrid experimental–numerical scheme, and model crack propagation in structural materials by means of a cohesive zone approach. The source code, detailed documentation and a large number of tutorials can be freely downloaded from www.abaqus2matlab.com.

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

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

      PubDate: 2017-02-07T15:48:42Z
      DOI: 10.1016/j.advengsoft.2017.01.004
      Issue No: Vol. 105 (2017)
       
  • Crash analysis and evaluation of vehicular impacts on W-beam guardrails
           placed on sloped medians using finite element simulations
    • Authors: Matthew Gutowski; Emre Palta; Howie Fang
      Abstract: Publication date: Available online 21 April 2017
      Source:Advances in Engineering Software
      Author(s): Matthew Gutowski, Emre Palta, Howie Fang
      With an average of six billion miles traveled per day on U.S. highways, according to the Federal Highway Administration (FHWA), transportation safety is of the utmost importance. Over the years, various traffic barrier systems, including W-beam guardrails, have been developed to reduce the number and severity of vehicle crashes. Despite their general effectiveness, improvements could be made, especially when installed on unlevelled terrains such as sloped medians. The destructive nature of crashes imposes significant challenges to barrier design using full-scale physical testing; numerical simulations thus become a viable means to support crash analysis, performance evaluation, and barrier designs. In this study, validated vehicle and W-beam models were used to perform full-scale simulations of vehicle-guardrail impacts. Fourteen single-faced and double-faced NCDOT W-beam guardrails (with placement heights of 29 and 31 inches) placed along a six-lane 46-foot median divided highway with 2.5H:1V and 4H:1V slopes were evaluated under front-side and backside vehicular impacts. The guardrails performance was determined by evaluating the vehicular responses based on MASH exit-box criterion, post-impact exit trajectory, yaw, pitch, and roll angles, transverse displacements, and transverse velocities.

      PubDate: 2017-04-23T11:51:00Z
      DOI: 10.1016/j.advengsoft.2017.04.004
       
  • A novel meta-heuristic optimization algorithm: Thermal exchange
           optimization
    • 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
       
  • Running high resolution coastal models in forecast systems: Moving from
           workstations and HPC cluster to cloud resources
    • Authors: João Rogeiro; Marta Rodrigues; Alberto Azevedo; Anabela Oliveira; João Paulo Martins; Mário David; João Pina; Nuno Dias; Jorge Gomes
      Abstract: Publication date: Available online 18 April 2017
      Source:Advances in Engineering Software
      Author(s): João Rogeiro, Marta Rodrigues, Alberto Azevedo, Anabela Oliveira, João Paulo Martins, Mário David, João Pina, Nuno Dias, Jorge Gomes
      Computational forecast systems (CFS) are essential modelling tools for coastal management by providing water dynamics predictions. Nowadays CFS are processed in dedicated workstations, fulfilling quality control through automatic comparison with field data. Recently, CFS has been successfully ported to High Performance Computing (HPC) resources, maintained by highly-specialized staff in these complex environments. The need to increase the available resources for more demanding applications and to enhance the portability for use in non-scientific institutions has promoted the search for more flexible and user-friendly approaches. The scalability and flexibility of cloud resources, with dedicated services for facilitating their use, makes them an attractive option. Herein, the performance of CFS using ECO-SELFE MPI-based model is assessed and compared for the first time in multiple environments, including local workstations, an HPC cluster and a pilot cloud. The analysis is conducted in a range of resources from the physical core count available at the smaller resources to the optimal number of processes, using cloud and HPC cluster resources. Results for the smaller, common physical resources show that the cloud is an attractive option for CFS operation. As the optimal number of processes for the use case is at the limit of the workstations common pool, an analysis was also performed using HPC cluster nodes and federated MPI resources. Results show that the cloud remains an attractive option for CFS. This conclusion is valid both for the use of a single host or through federated hosts, providing that efficient communication infrastructure (such as SRIOV) is available.

      PubDate: 2017-04-23T11:51:00Z
      DOI: 10.1016/j.advengsoft.2017.04.002
       
  • 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
       
  • Numerical modeling of steel fillet welded joint
    • Authors: Martin Krejsa; Jiri Brozovsky; David Mikolasek; Premysl Parenica; Jakub Flodr; Alois Materna; Radim Halama; Jaroslav Kozak
      Abstract: Publication date: Available online 5 April 2017
      Source:Advances in Engineering Software
      Author(s): Martin Krejsa, Jiri Brozovsky, David Mikolasek, Premysl Parenica, Jakub Flodr, Alois Materna, Radim Halama, Jaroslav Kozak
      The paper is focused on the numerical modeling of steel bearing elements and their verification using experiment. Currently, for the stress-strain analysis of the elements supporting structures it is possible to use many commercial software systems, based on the finite element method - FEM. It is important to to check and compare the results of FEM analysis with the results of physical verification test, in which the real behavior of the bearing element can be observed. The results of the comparison can be used for calibration of the computational model.The article deals with the physical test of steel supporting elements, whose main purpose is obtaining of material, geometry and strength characteristics of the fillet welds. The main aim was defining of tested samples numerical models for using FEM analysis and for the commercial software ANSYS. The pressure test was performed during the experiment, wherein the total load value and the corresponding deformation of the specimens under the load was monitored. The measurements were carried out for a more detailed analysis of stresses and deformations in welds samples using a strain-gauge and a Q100 laser device for measuring the 3D deformation and infrared thermographic non-destructive testing.Obtained data were used for the calibration of numerical models of test samples and they are necessary for further strain analysis of steel supporting elements.

      PubDate: 2017-04-09T11:55:40Z
      DOI: 10.1016/j.advengsoft.2017.03.013
       
  • 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
       
  • A plane model of the interaction of a vehicle with the road infrastructure
    • Authors: J.A. Romero; A.A. Lozano-Guzmán; S.A. Obregón-Biosca; E. Betanzo-Quezada
      Abstract: Publication date: Available online 27 March 2017
      Source:Advances in Engineering Software
      Author(s): J.A. Romero, A.A. Lozano-Guzmán, S.A. Obregón-Biosca, E. Betanzo-Quezada
      In road transportation, bridges´ deck exhibit large deflections when compared with those of the pavements. The interaction of vehicles with these two types of road infrastructures signifies enormous costs for maintaining the whole infrastructure in economic operational conditions. In this paper, an integrated model for simulating the vehicle – infrastructure coupled interaction, is proposed. While the infrastructure model is based upon FEM, the vehicle considers a multibody model. A parametric analysis is carried out to analyse the effect of vehicle and infrastructure operational conditions, as well as vehicle design characteristics, on bridge and flexible pavement dynamic responses.

      PubDate: 2017-04-02T01:46:42Z
      DOI: 10.1016/j.advengsoft.2017.03.007
       
  • 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 web-based GIS platform for the safe management and risk assessment of
           complex structural and infrastructural systems exposed to wind
    • Authors: Maria Pia Repetto; Massimiliano Burlando; Giovanni Solari; Patrizia De Gaetano; Marina Pizzo; Marco Tizzi
      Abstract: Publication date: Available online 25 March 2017
      Source:Advances in Engineering Software
      Author(s): Maria Pia Repetto, Massimiliano Burlando, Giovanni Solari, Patrizia De Gaetano, Marina Pizzo, Marco Tizzi
      This paper describes an extensive research activity, carried out at the University of Genova, aimed at developing an integrated web-based GIS platform for the safe management and risk assessment of complex port areas exposed to intense wind actions. This activity, carried out through the Projects “Wind and Ports” and “Wind, Ports and Sea”, financed by the European Territorial Cooperation Objective, Cross-border program “Italy–France Maritime 2007–2013”, includes the realization of a wide in situ monitoring network, specific numerical codes for the multi-scale simulation of wind and wave fields, wind and wave forecasting algorithms, and statistical wind climate analyses. All the results obtained are made directly available to the port operators through a web-based GIS platform integrated into a global system for the safe and operational management of the port areas involved in the above projects. In particular, the monitoring and forecasting systems work out operative results in continuous mode. The generality of the implemented platform makes it immediately suitable for applications to any port reality worldwide and, even more, to any complex structural and infrastructural system under wind actions.

      PubDate: 2017-04-02T01:46:42Z
      DOI: 10.1016/j.advengsoft.2017.03.002
       
  • Theoretical background and implementation of the finite element method for
           multi-dimensional Fokker–Planck equation analysis
    • Authors: Radomil
      Abstract: Publication date: Available online 24 March 2017
      Source:Advances in Engineering Software
      Author(s): Radomil Král, Jiří Náprstek
      Fokker–Planck equation is one of the most important tools for investigation of dynamic systems under random excitation. Finite Element Method represents very effective solution possibility particularly when transition processes are investigated or more detailed solution is needed. However, a number of specific problems must be overcome. They follow predominantly from the large multi-dimensionality of the Fokker–Planck equation, shape of the definition domain and usual requirements on the nature of the solution which are out of a conventional practice of the Finite Element employment. Unlike earlier studies it is coming to light that multi-dimensional simplex elements are the most suitable to be deployed. Moreover, new original algorithms for the multi-dimensional mesh generating were developed as well as original procedure of the governing differential and algebraic systems assembling and subsequent analysis. Finally, an illustrative example is presented together with aspects typical for the problem with large multi-dimensionality.

      PubDate: 2017-04-02T01:46:42Z
       
  • 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
       
  • Sparse direct solver for large finite element problems based on the
           minimum degree algorithm
    • Authors: Petr
      Abstract: Publication date: Available online 22 March 2017
      Source:Advances in Engineering Software
      Author(s): Petr Pařík, Jiří Plešek
      A sparse direct solver for large problems from solid continuum mechanics based on the minimum degree algorithm is proposed and tested. The solver is designed to take advantage of the properties of the finite element method, particularly the structure of the finite element mesh. For the minimization of the fill-in in the matrix factors a modification of the approximate minimum degree ordering algorithm of Amestoy, Davis and Duff is utilized. The employed sparse matrix storage format and the algorithms for each of the solver phases are also described. The results of numerical tests of the solver on large real-world finite element problems are presented and its performance is compared to a frontal solver and the PARDISO sparse direct solver.

      PubDate: 2017-04-02T01:46:42Z
       
  • 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
       
  • Editorial Board/Publishing Info
    • Abstract: Publication date: May 2017
      Source:Advances in Engineering Software, Volume 107


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

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

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

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

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

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

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

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

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

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

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

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


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


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

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

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

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

      PubDate: 2016-12-11T15:47:45Z
      DOI: 10.1016/j.advengsoft.2016.11.005
      Issue No: Vol. 104 (2016)
       
  • Eliminate localized eigenmodes in level set based topology optimization
           for the maximization of the first eigenfrequency of vibration
    • Authors: Zhenhua Li; Tielin Shi; Qi Xia
      Abstract: Publication date: Available online 23 December 2016
      Source:Advances in Engineering Software
      Author(s): Zhenhua Li, Tielin Shi, Qi Xia
      Maximizing the fundamental eigenfrequency of vibration is an important topic in structural topology optimization. Previous studies of such a topology optimization problem should always be cautious of the “artificial localized mode” as it makes the optimization fail. In the present work, a level set based topology optimization is proposed to address such an issue. The finite element analysis is conducted on the actual structure by using a body-fitted mesh and without artificial weak material, thus localized mode that conventionally arises due to low-density region is prevented. In the present study, attention is turned to localized mode occurred gradually during the optimization. Such kind of localized mode results from the emergence of isolated area or cracked structure member produced by topological changes. A mode recognition technique based on the volume ratio of vibration-free region to the entire structure is proposed to identify such localized mode. Numerical examples of 2D structures are investigated.

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


      PubDate: 2016-12-17T16:12:03Z
       
 
 
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