ABSTRACT
This chapter focuses on the stochastic analysis of laminated soft-core sandwich panels including the effect of skewness in the geometry. An efficient multivariate adaptive regression splines based approach for dynamics and stability analysis of sandwich plates is presented considering the random system parameters. The propagation of uncertainty in such structures has significant computational challenges due to inherent structural complexity and high dimensional space of input parameters. The theoretical formulation is developed based on a refined C0 stochastic finite element model and higher-order zigzag theory in conjunction with multivariate adaptive regression splines. A cubical function is considered for the in-plane parameters as a combination of a linear zigzag function with different slopes at each layer over the entire thickness while a quadratic function is assumed for the out-of-plane parameters of the core and constant in the face sheets. Both individual and combined stochastic effect of skew angle, layer-wise thickness, and material properties (both core and laminate) of sandwich plates are considered. Statistical analyses are carried out to illustrate the results of the first three stochastic natural frequencies and buckling load.
