Printed circuit board model updating based on response surface method

Optimization analysis based on response surface is used in finite element (FE) model updating in recent years. Printed circuit board (PCB) model updating process based on response surface was presented. First six modal frequencies of PCB were calculated using ANSYS and correlated with modal test results. Three objective functions were formed using the first three orders of FE analytical and measured modal frequencies. The fourth objective function was formed by the square of residuals between first six resonant frequencies. Each resonant frequency was given the same weight. A multi-objective genetic algorithm (MOGA) was used in optimized analysis to minimize the four objective functions. A case was presented to illustrate the proposed updating procedure. The results show that the model updating technique based on response surface can be used to improve the accuracy of PCB FE model, and can be analyzed directly by using commercial FE softwares now available, which is conducive to engineering application. ©, 2015, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.