A stochastic material point method for probabilistic dynamics and reliability

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Author(s)

  • Weidong Chen
  • Yaqin Shi
  • Han Yan
  • Jingxin Ma
  • Chunlong Xu

Detail(s)

Original languageEnglish
Pages (from-to)1069-1082
Journal / PublicationComputational Mechanics
Volume63
Issue number5
Online published3 Jan 2019
Publication statusPublished - May 2019

Abstract

A stochastic material point method is proposed for reliability analysis of nonlinear structure subjected to explosions involving spatially varying random material properties. A random field representing material properties is discretized into a set of random variables with statistical properties of the random field. According to the failure criterion of nonlinear structure, the limit state function of a material point is established. The first-order reliability method is employed to predict the full probabilistic characteristics of material points. Besides, taking ship protection structure as an example, the failure mode of nonlinear structure is established and the model is implemented into the reliability analysis of ship protection structure subjected to underwater explosions. Numerical examples are presented to examine the accuracy and convergence of the stochastic material point method. Monte Carlo simulation is used as a validation tool, and good agreement is obtained between the results of the proposed method and Monte Carlo simulation.

Research Area(s)

  • Failure mode, Limit state function, Nonlinear structure, Stochastic material point method, Structural reliability

Citation Format(s)

A stochastic material point method for probabilistic dynamics and reliability. / Chen, Weidong; Shi, Yaqin; Yan, Han et al.
In: Computational Mechanics, Vol. 63, No. 5, 05.2019, p. 1069-1082.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review