Abstract:In the stochastic structural analysis of composite structure, the probabilistic knowledge of the uncertain parameters are essential. Variability of the manufacturing process of the composite structure introduces the uncertainty to the elastic parameters. It is easier to identify the uncertainty of the material parameters using stochastic inverse process. An efficient stochastic inverse identification of the elastic parameters of laminated composite plate using generalized Polynomial Chaos (gPC) theory is prese… Show more
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