重庆大学学报2018，Vol.41Issue(1)：9-16,8.DOI:10.11835/j.issn.1000-582X.2018.01.002
基于加速度内积向量和灰云模型的结构损伤识别
Structural damage identification based on acceleration inner product vector and gray cloud
摘要
Abstract
In order to solve the uncertain damage problem caused by measurement noise,a damage identification method based on acceleration inner product vector and gray cloud model is presented.First,basic theory and formulas of cloud model and cloud generators are introduced.Then,the acceleration response under random excitation load is calculated,inner product vector is deduced from cross correlation functions and second-order difference method,and an inner product vector damage index is proposed.Finally,the grey cloud rules of inner product vector and damage intervals are built.Considering the uncertainties casused by stochastic measurement noise,a damage identification method based on gray cloud model is presented by using weighted summation and averaging in various modes.Simulation results show that the identification results of the proposed method are better than those of the inner product vector damage index,and the damage identification method based on inner product vector and gray cloud can solve the uncertain damage problem caused by measurement noise.关键词
灰云模型/损伤识别/加速度/内积向量/相关函数Key words
gray cloud/damage identification/acceleration/inner product vector/cross correlation function分类
通用工业技术引用本文复制引用
王玉山,田良,郭惠勇..基于加速度内积向量和灰云模型的结构损伤识别[J].重庆大学学报,2018,41(1):9-16,8.基金项目
国家自然科学基金资助项目(51468058,51578094).Supported by National Natural Science Foundation of China(51468058,51578094). （51468058,51578094）
