Robust optimization of structural–acoustic coupled system with random parameters

Aircraft noise has become an important factor that endangers public health and acoustic navigability. Reducing the noise and optimizing the structural–acoustic system in an effective way is of great importance. Because of the uncertainty existing in the structural or acoustic parameters, traditional deterministic optimization may be unfeasible when the parameters are subject to fluctuations. When the structural or acoustic parameters have uncertainty, the design scheme obtained from the deterministic optimization may be beyond the scope of the method. Therefore, we must develop an optimization method that can consider the uncertainties in the involved parameters. To accomplish this, a robust optimization method of structural–acoustic coupled systems with random parameters is proposed based on the traditional optimization method. Two methods of robust optimization for structural–acoustic systems are introduced including the objective function robustness and the constraint condition robustness. The multi-objective optimization problem is transformed into a single objective problem using a weight factor. The results of the two numerical examples illustrate the efficacy of the proposed robust optimization method.