Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA, K. OKUDA, K. IKEDA

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PDF(1006 KB)
Front. Struct. Civ. Eng. ›› 2015, Vol. 9 ›› Issue (2) : 141-153. DOI: 10.1007/s11709-014-0286-2
RESEARCH ARTICLE
RESEARCH ARTICLE

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

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Abstract

This paper discusses a multiscale stochastic analysis of a laminated composite plate consisting of unidirectional fiber reinforced composite laminae. In particular, influence of a microscopic random variation of the elastic properties of component materials on mechanical properties of the laminated plate is investigated. Laminated composites are widely used in civil engineering, and therefore multiscale stochastic analysis of laminated composites should be performed for reliability evaluation of a composite civil structure. This study deals with the stochastic response of a laminated composite plate against the microscopic random variation in addition to a random variation of fiber orientation in each lamina, and stochastic properties of the mechanical responses of the laminated plate is investigated. Halpin-Tsai formula and the homogenization theory-based finite element analysis are employed for estimation of effective elastic properties of lamina, and the classical laminate theory is employed for analysis of a laminated plate. The Monte-Carlo simulation and the first-order second moment method with sensitivity analysis are employed for the stochastic analysis. From the numerical results, importance of the multiscale stochastic analysis for reliability evaluation of a laminated composite structure and applicability of the sensitivity-based approach are discussed.

Keywords

stochastic homogenization / multiscale stochastic analysis / microscopic random variation / laminated composite plate

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S. SAKATA, K. OKUDA, K. IKEDA. Stochastic analysis of laminated composite plate considering stochastic homogenization problem. Front. Struct. Civ. Eng., 2015, 9(2): 141‒153 https://doi.org/10.1007/s11709-014-0286-2

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Acknowledgements

The first author is pleased to acknowledge support in part by Grants-in-Aid for Young Scientists (B) (No.23760097) from the Ministry of Education, Culture, Sports Science and Technology, and MEXT-supported program for the Strategic Research Foundation at Private Universities, 2012-2014.

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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