Reliability analysis of laminated fibre reinforced composites using stochastic multi-scale finite element method

X-Y. Zhou, P. D. Gosling, Ł., Zahur Ullah, L. Kaczmarczyk, C. J. Pearce

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a computational simulation approach for reliability analysis of composites in the presence of uncertainties in microscopic material properties. This computer-based methodology combines the state-of-the-art computational homogenization method with composite mechanics and probabilistic analysis to investigate structural reliability for designing sustainable composite structures. Stochastic structural responses are obtained by a stochastic multi-scale finite element method, which establishes the relationship between structural responses and microscopic random variables. The commonly used first-order reliability method and Monte Carlo simulation method are coupled with the multi-scale finite element method to conduct reliability analysis. Numerical studies are conducted to illustrate the procedure of multi-scale reliability analysis for composite structures and demonstrate the efficiency and correctness of the proposed approach.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherUniversity of Liverpool
Number of pages10
Publication statusAccepted/In press - 4 Nov 2015
Event13th International Probabilistic Workshop (IPW2015) - University of Liverpool, Liverpool, UK
Duration: 4 Nov 2015 → …

Workshop

Workshop13th International Probabilistic Workshop (IPW2015)
Period4/11/15 → …

Keywords

  • Reliability analysis
  • composite materials
  • computational homogenization
  • multiscale finite element.

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    Zhou, X-Y., Gosling, Ł., P. D., Ullah, Z., Kaczmarczyk, L., & Pearce, C. J. (Accepted/In press). Reliability analysis of laminated fibre reinforced composites using stochastic multi-scale finite element method. In Unknown Host Publication University of Liverpool. http://rpsonline.com.sg/rps2prod/ipw2015/html/034.xml