于波

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:吉林大学

学位:博士

所在单位:数学科学学院

学科:计算数学. 金融数学与保险精算

电子邮箱:yubo@dlut.edu.cn

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Reconstruction of structured models using incomplete measured data

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论文类型:期刊论文

发表时间:2017-05-10

发表刊物:STRUCTURAL ENGINEERING AND MECHANICS

收录刊物:SCIE、EI

卷号:62

期号:3

页面范围:303-310

ISSN号:1225-4568

关键字:model updating problems; connectivity; positivity; positive semidefiniteness; semidefinite programming

摘要:The model updating problems, which are to find the optimal approximation to the discrete quadratic model obtained by the finite element method, are critically important to the vibration analysis. In this paper, the structured model updating problem is considered, where the coefficient matrices are required to be symmetric and positive semidefinite, represent the interconnectivity of elements in the physical configuration and minimize the dynamics equations, and furthermore, due to the physical feasibility, the physical parameters should be positive. To the best of our knowledge, the model updating problem involving all these constraints has not been proposed in the existed literature. In this paper, based on the semidefinite programming technique, we design a general-purpose numerical algorithm for solving the structured model updating problems with incomplete measured data and present some numerical results to demonstrate the effectiveness of our method.