Damage detection for a model frame structure using displacement

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发表刊物：

Structural Health Monitoring

关键字：

parameter identification;damage detection;time series...

摘要：

A structural parameter identification and damage detection approach using displacement measurement time series is proposed, and the performance of the approach is validated experimentally with a frame structure model in a healthy condition and with joint connection damages. The dynamic displacement response of the frame structure under base excitation is measured by noncontact laser displacement sensors. The proposed approach is carried out using two neural networks: one is called displacement-based neural network emulator (DNNE) and the other is called parametric evaluation neural network ...

论文类型：

期刊论文

文献类型：

卷号：

期号：

页面范围：

280-291

是否译文：

否

CN号：

"null"

发表时间：

2012-05-16

第一作者：

许斌

合写作者：

宋刚兵,Sami F. Masri

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