Uncertainty-based improved multidisciplinary design optimization methods

Uncertainty factors are extremely important in the design of complex systems optimization. Firstly, the optimum design model based on the robustness and reliability is built and uncertainty analysis methods are introduced. Then BLISS/RSI and BLISS/RS2, which are the widely-used multidisciplinary design optimization method, are improved, and a new uncertainty-based multidisciplinary optimization method - UBLISS/RSS, are proposed by embedding the process of uncertainty design optimization into the improved BLISS/RSI and BLISS/RS2. Finally, the example of speed reducer considering manufacturing processing errors are given to test UBLISS/RSS method and it is proved to be a feasible and effective method of uncertainty-based multidisciplinary design optimization.