A second‐order reduced multiscale method for nonlinear shell structures with orthogonal periodic configurations

Abstract

AbstractThis article develops an efficient second‐order reduced multiscale (SORM) method to study the nonlinear shell structure with orthogonal periodic configurations. The heterogenous shell structure is periodically distributed in orthogonal curvilinear coordinate systems. At first, the nonlinear problems for the shell structure are introduced, and the detailed higher‐order nonlinear multiscale formulas based on the asymptotic homogenization approach are given including microscale unit cell functions, effective material parameter and the homogenized equation. Also, since it requires a large number of computation cost to solve the nonlinear multiscale problems by the traditional high‐order homogenization methods, the novel reduced order multiscale model is constructed. Further, according to the reduced‐order multiscale models and higher‐order nonlinear formulas, an effective SORM algorithm is provided for studying the nonlinear shell structures. The main characteristics of the proposed algorithm are that the novel reduced forms established to investigate the nonlinear shell structures and an efficient higher‐order homogenized solution evaluated by postprocessing that does not need higher‐order continuities of the homogenization solutions. Finally, according to some typical nonlinear examples including block structures, cylindrical shell and double‐curved shallow shell, the availabilities of the SORM algorithm are confirmed.