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Computational Mechanics

, Volume 63, Issue 5, pp 1069–1082 | Cite as

A stochastic material point method for probabilistic dynamics and reliability

  • Weidong Chen
  • Yaqin ShiEmail author
  • Han Yan
  • Jingxin Ma
  • Yuzhuo Yang
  • Chunlong Xu
Original Paper
  • 223 Downloads

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.

Keywords

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

Notes

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Weidong Chen
    • 1
  • Yaqin Shi
    • 1
    Email author
  • Han Yan
    • 1
  • Jingxin Ma
    • 1
  • Yuzhuo Yang
    • 2
  • Chunlong Xu
    • 1
  1. 1.College of Aerospace and Civil EngineeringHarbin Engineering UniversityHarbinChina
  2. 2.Architecture and Civil Engineering DepartmentCity University of Hong KongKowloonHong Kong

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