Abstract

Composite laminates are an integral part of structural engineering. To exploit the full potential of such laminated structures, it is important to understand the effect of various material and geometric parameters on its static and dynamic behaviour. Conventionally high-fidelity numerical procedures like finite element methods have been used to carry out such analysis. Despite their overwhelming accuracy, such methods are computational time intensive making them unsuitable to carry out exhaustive parametric studies. To counter this, a polynomial regression-based metamodeling strategy and its subsequent use as a quick parametric analysis tool is depicted in this study. The metamodels are meticulously built and rigorously validated on the training and testing data using suitable statistical measures like 〖R〗^2,〖〖R〗^2〗_adj and 〖Q^2〗_F3.

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