Surrogate-based multidisciplinary design optimization for stiffened panels application

Abstract

This paper is devoted to propose and apply a surrogate-based multidisciplinary design optimization (MDO) method on stiffened panels with several substructures and objectives. This method combines Kriging Surrogate Model (KSM), which is used to predict the exact responses of objectives and constraint functions, and an Improved Multi-Objective Collaborative Optimization (IMOCO) to solve the MDO problems. In the KSM-IMOCO scheme, each exact optimization problem at structure and substructure level is replaced by a metamodel to limit the computational burden. To demonstrate the applicability of the proposed KSM-IMOCO method, we treat an engineering example of kind stiffened panel. Results obtained from the application of the KSM-IMOCO approach on optimization problem of a stiffened panel kind L are compared with the traditional optimization (TO), without passing by the approximation tools, and it has been shown the sovereignty of the proposed KSM-IMOCO method. These results indicate that the proposed KSM-IMOCO method significantly reduces computational burden, and improves the convergence rate for solving the exact multidisciplinary optimization problem.