A parallel-distributed approach for multi-physics problems with application to computational nonlinear aeroelasticity

被引:0
|
作者
Soulaïmani, Azzeddine [1 ]
Ben Haj Ali, Amine [1 ]
Feng, Zhengkun [1 ]
机构
[1] Department of Mechanical Engineering, Ecl. de Technol. Supérieure, Université du Québec, 1100 Notre-Dame Street West, Montreal, Que. H3C 1K3, Canada
来源
关键词
Isobars - Multiple program multiple data (MPMD) - Single program multiple data (SPMD) - Thermo-mechanical coupling;
D O I
10.5589/q04-017
中图分类号
学科分类号
摘要
This paper presents an efficient parallel-distributed methodology for solving multi-physics problems. This methodology is based on functional and geometrical decompositions. Several technical details are presented for more clarity and for easing its implementation. All the techniques discussed in this paper are illustrated for the case of CFD-based aeroelasticity. A thorough performance study is shown with simulation results for the AGARD 445.6 aeroelastic test case. © 2004 CASI.
引用
收藏
页码:221 / 235
相关论文
共 50 条
  • [1] Solution techniques for multi-physics problems with application to computational nonlinear aeroelasticity
    Soulaimani, Azzeddine
    Feng, Zhengkun
    Ali, Amin Ben Haj
    NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2005, 63 (5-7) : E1585 - E1595
  • [2] Parallel-distributed computing for multiphysics problems: Application to aeroelasticity
    Soulaïmani, Azzeddine
    Ben Haj Ali, Amine
    Revue Europeenne des Elements, 2003, 12 (7-8): : 793 - 829
  • [3] Computational Modelling of Multi-Physics and Multi-Scale Processes in Parallel
    Cross, M.
    Croft, T. N.
    Slone, A. K.
    Williams, A. J.
    Christakis, N.
    Patel, M. K.
    Bailey, C.
    Pericleous, K.
    INTERNATIONAL JOURNAL FOR COMPUTATIONAL METHODS IN ENGINEERING SCIENCE & MECHANICS, 2007, 8 (02): : 63 - 74
  • [4] Parallel multi-frontal solver for p adaptive finite element modeling of multi-physics computational problems
    Paszynski, Maciej
    Pardo, David
    Paszynska, Anna
    JOURNAL OF COMPUTATIONAL SCIENCE, 2010, 1 (01) : 48 - 54
  • [5] Computational methods in multi-scale, multi-uncertainty and multi-physics problems
    Pires, Francisco M. Andrade
    Li, Chenfeng
    ENGINEERING COMPUTATIONS, 2021, 38 (03) : 1097 - 1098
  • [6] Parallel multi-frontal solver for multi-physics p adaptive problems
    Paszynski, Maciej
    Pardo, David
    Paszynska, Anna
    ICCS 2010 - INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, PROCEEDINGS, 2010, 1 (01): : 1977 - 1986
  • [7] Parallel performance in multi-physics simulation
    McManus, K
    Cross, M
    Walshaw, C
    Croft, N
    Williams, A
    COMPUTATIONAL SCIENCE-ICCS 2002, PT II, PROCEEDINGS, 2002, 2330 : 806 - 815
  • [8] An Integral Approach to Multi-physics Application for Packed Bed Reactors
    Peters, Bernhard
    Besseron, Xavier
    Estupinan, Alvaro
    Hoffmann, Florian
    Michael, Mark
    Mouhmadi, Amir
    Mohseni, Mohammad
    24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B, 2014, 33 : 913 - 918
  • [9] Computational challenges for multi-physics topology optimization
    Bendsoe, Martin P.
    COMPUTATIONAL MECHANICS: SOLIDS, STRUCTURES AND COUPLED PROBLEMS, 2006, 6 : 1 - 20
  • [10] MuPIF - A distributed multi-physics integration tool
    Patzak, B.
    Rypl, D.
    Kruis, J.
    ADVANCES IN ENGINEERING SOFTWARE, 2013, 60-61 : 89 - 97