Stochastic finite element with material uncertainties: Implementation in a general purpose simulation program

被引:61
作者
Shang, Shen [1 ]
Yun, Gun Jin [1 ]
机构
[1] Univ Akron, Dept Civil Engn, Akron, OH 44325 USA
关键词
Stochastic finite element; Abaqus uel; Karhunen-Loeve expansion; Probabilistic analysis; Material uncertainty; Monte Carlo simulation; RESPONSE VARIABILITY; SOFTWARE; SHELLS; MECHANICS; BEHAVIOR; PLATE; MODEL;
D O I
10.1016/j.finel.2012.10.001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper presents a stochastic finite element (SFE) within a general purpose finite element analysis program ABAQUS to simulate the probabilistic structural response of stochastic materials. Discretization and quantification of random fields associated with material uncertainties are accomplished through Karhunen-Loeve (KL) expansion in order to simulate the stochastic response of structures under material uncertainties. Although SFE is one of the most widely accepted approaches, its integrations into general-purpose finite element software are rare in literatures due to difficulties in its intrusive formulation and managing two different meshes for discretizing the physical and random field domains subjected to different meshing criteria. Therefore, issues on the separation of RF mesh from FE mesh have been addressed along with its efficient implementations. The proposed method can significantly reduce dimensionality of the stochastic domain and efficiently predict probability density functions of the structural response under material uncertainties through Monte Carlo simulations combined with the Latin hypercube sampling technique. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:65 / 78
页数:14
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  • [1] Discretization of 2D random fields: A genetic algorithm approach
    Allaix, Diego Lorenzo
    Carbone, Vincenzo Ilario
    [J]. ENGINEERING STRUCTURES, 2009, 31 (05) : 1111 - 1119
  • [2] Stochastic finite element analysis of shells
    Argyris, J
    Papadrakakis, M
    Stefanou, G
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2002, 191 (41-42) : 4781 - 4804
  • [3] Stochastic meshfree method for elasto-plastic damage analysis
    Arun, C. O.
    Rao, B. N.
    Srinivasan, S. M.
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2010, 199 (37-40) : 2590 - 2606
  • [4] Shells with random geometric imperfections simulation -: based approach
    Bielewicz, E
    Górski, J
    [J]. INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, 2002, 37 (4-5) : 777 - 784
  • [5] Spectral stochastic finite element analysis for laminated composite plates
    Chen, Nian-Zhong
    Soares, C. Guedes
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2008, 197 (51-52) : 4830 - 4839
  • [6] Efficient numerical strategies for spectral stochastic finite element models
    Chung, DB
    Gutiérrez, MA
    Graham-Brady, LL
    Lingen, FJ
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2005, 64 (10) : 1334 - 1349
  • [7] Cook R., 2009, Concepts and Applications of Finite Element Analysis
  • [8] Simulation of highly skewed non-Gaussian stochastic processes
    Deodatis, G
    Micaletti, RC
    [J]. JOURNAL OF ENGINEERING MECHANICS-ASCE, 2001, 127 (12): : 1284 - 1295
  • [9] Structural reliability software at the University of California, Berkeley
    Der Kiureghian, A
    Haukaas, T
    Fujimura, K
    [J]. STRUCTURAL SAFETY, 2006, 28 (1-2) : 44 - 67
  • [10] Der Kiureghian A, 1988, PROBALISTIC ENG MECH, V3, P83, DOI [DOI 10.1016/0266-8920(88)90019-7, 10.1016/0266-8920(88)90019-7]