Strength Estimation of a Unidirectional Fiber Reinforced Composite Plate under Transverse Loading considering Random Fields of Correlated Local Strength and Apparent Elastic Property
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Composite materials are widely used due to their excellent apparent properties such as specific rigidity and strength, while their properties sometimes have random variations caused by their microscopic configuration. From a viewpoint of the validation of the computational analysis of composites, they should be identified and the apparent properties should be estimated more precisely by considering them. For this purpose, several topics including propagation of the uncertainties/randomness through the different scales and uncertainty quantification have been explored recently, and one of the important topics is to establish a quantitative apparent strength estimation method for composites considering the microscopic randomness. In this research, a multiscale stochastic stress analysis approach considering the identification of the local strength and the local apparent elastic property of a unidirectional fiber-reinforced composite plate is developed. In particular, the moving window method is employed for the identification of the probabilistic properties including the autocorrelation among the adjacent windows as a spatial distribution descriptor of the local strength and local apparent elastic properties[1][2], and also the influence of the correlation between them is considered in the current step of this study. In this presentation, the outline of the methodology is first introduced, and some numerical results assuming several computational conditions will be shown.
