Optimal design of composite shells based on minimum weight and maximum feasibility robustness

摘要: A robust design optimization (RDO) approach for minimum weight and safe shell composite structures with minimal variability into constraints under uncertainties is proposed. new concept of feasibility robustness associated to the considered. So, defined through determinant variance–covariance matrix constraint functions introducing in this way joint effects uncertainty propagations on structural response. framework considering aleatory RDO three classes variables parameters are identified: deterministic variables, random parameters. The bi-objective search performed using a based two levels dominance denoted by Co-Dominance-based Genetic Algorithm (CoDGA). use evolutionary concepts together sensitivity analysis adjoint variable method proposal. examples different sources show that Pareto front definition depends and/or considered RDO. Furthermore, importance control demonstrated. CoDGA powerfully tool help designers make decision establishing priorities between performance robustness.