Abstract:

The advantages of parallel global sensitivity equation (GSE) method are pointed out, the computational performance of the parallel GSE method is also qualitatively analyzed. The general parallel GSE driver (GPGDRV) is developed based on ModelCenter, and then the general parallel GSE optimizer (GPGOPT) is created through COM technology associated with an optimization algorithm. In this manner, the parallel GSE is applied in optimization for internally coupled systems. Numerical study case illustrates that the efficiency to solve the sensitivity of coupled systems is improved evidently through the GSE method. A conceptual optimization of an assumed training airplane is carried out with GPGDRV and GPGOPT, a quantificational comparison of computational performance with the finite difference method is conducted as well. The comparative results agree well with the qualitative analysis. Moreover, the study results demonstrate that computational efficiency is improved  dramatically by using the GSE method, which makes the optimization time decrease by about 76%. The optimization time, furthermore, can be still reduced ulteriorly through the parallel GSE method. Additionally, GPGDRV and GPGOPT are practicable for the analysis and optimization of coupled systems.