基于响应面方法的印制电路板模型修正

徐飞; 李传日; 姜同敏

doi:10.13700/j.bh.1001-5965.2014.0219

基于响应面方法的印制电路板模型修正

doi: 10.13700/j.bh.1001-5965.2014.0219

北京亚洲成人在线一二三四五六区可靠性与系统工程学院, 北京 100191

详细信息

作者简介:
徐飞(1987—),男,江苏盐城人,博士生,luoyefeihen@163.com

通讯作者:
李传日(1964—),男,福建邵武人,教授,lichuanri@cqjj8.com,主要研究方向为环境试验、振动与冲击试验.

中图分类号: TP391.9
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- 被引次数: 0
出版历程
- 收稿日期: 2014-04-22
- 网络出版日期: 2015-03-20

Printed circuit board model updating based on response surface method

School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 近年来,基于响应面的优化分析技术被用于有限元模型修正.给出了基于响应面方法的印制电路板(PCB,Printed Circuit Board)模型修正过程.首先利用ANSYS计算PCB的前6阶模态频率并与模态试验结果进行相关性分析;然后分别利用有限元分析和模态试验的前3阶模态频率构造3个目标函数,再利用前6阶共振频率的残差平方和构造第4个目标函数,每个共振频率的权重相同;最后利用多目标函数遗传算法进行优化分析,使得4个目标函数最小化.给出了一个案例对上述的修正过程进行了阐述.分析结果表明,基于响应面的模型修正技术可用于改善PCB的有限元模型,且可利用已有的商业有限元软件直接进行分析,易于工程应用.
- 响应面 /
- 印制电路板 /
- 有限元分析 /
- 模型修正 /
- 优化分析
Abstract: 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.
- response surface /
- printed circuit board /
- finite element analysis /
- model updating /
- optimization analysis

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参考文献(24)

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