ABSTRACT

This chapter illustrates the aspect of an application-specific design requirement in engineering structures (cutouts). The effect of cutout on stochastic dynamic responses of composite laminates is investigated. Support vector regression (SVR) model in conjunction with Latin hypercube sampling is used in this investigation as a surrogate of the actual finite element model to achieve computational efficiency. The convergence of the present algorithm for laminated composite curved panels with cutout is validated with original finite element (FE) analysis along with traditional Monte Carlo simulation (MCS). Variations of input parameters (both individual and combined cases) are studied to portray their relative effect on the output quantity of interest. The layer-wise variability of structural and material properties is included considering the effect of twist angle, cutout sizes and different geometries (such as cylindrical, spherical, hyperbolic paraboloid and plate). The sensitivities of input parameters in terms of coefficient of variation are enumerated to project the relative importance of different random inputs on natural frequencies. Subsequently, the noise induced effects on SVR based computational algorithm are presented to map the inevitable variability in practical field of applications.