다물체 시스템의 동적 거동에 대한 최적설계 기법

Recently, industrial design requires the validation of multi-body dynamics, non-linear FE analysis, and test etc. However, the conventional DSA based approaches cannot be used in these disciplinary. Since a design problem related to the multibody dynamics and non-linear FE analysis is very complicated, their design sensitivity analysis process can be very tedious and difficult to find an optimized design within a limited time. So this represents that analytical design sensitivity is impossible in these areas. This is a sequential approximate optimization based on the meta-models such as Kriging and RSM etc. Since the sampling points for the meta model come from a D.O.E technique which has been very effective for a test field, its performance is very powerful. It generates the approximate objective function and solves the optimization problem using the ALM method. Then, a new design is given to analysis module. These processes are repeated until finding a tolerable design optimization. In this paper, a numerical example is introduced and it is optimized with the proposed algorithms.