Shenyan Chen

TL;DR: By adopting the first-ply failure criterion and considering the stresses/strains for each layer in the ground laminate, the concept of temporal deletion techniques is proposed to extend this approach for handling optimization problems with strength constraints.

TL;DR: In this paper, the design of hybrid composite laminates made of high-stiffness skin and low-stinkness core layers is presented, where the objective is the simultaneous maximization of fundamental frequency (or the gap between two consecutive frequencies) and minimization of cost by seeking the optimal stacking sequences of both skin and core layers.

TL;DR: A new method for laminate stacking sequence optimization based on a two-level approximation and genetic algorithm (GA), and an optimization model including continuous size variables (thicknesses of plies) and discrete variables that represent the existence of each ply is proposed.

TL;DR: The proposed two-level approximation method for multi-objective optimization of a composite stiffened panel has a good efficiency in seeking rational solutions, which are tradeoffs between conflicting objectives and also feasible designs satisfying all considered constraints.

TL;DR: In this paper, a genetic algorithm (GA) using a two-level approximation method was proposed to determine the optimal stacking sequences with significantly low computational costs, and a new optimization model was firstly established by involving both stacking sequence and sizing variables, while a second-level approximate problem was addressed for the individual fitness calculations.