標題: A neural network approach for structural identification and diagnosis of a building from seismic response data
作者: Huang, CS
Hung, SL
Wen, CM
Tu, TT
土木工程學系
Department of Civil Engineering
關鍵字: system identification;damage assessment;neural network;earthquake responses
公開日期: 1-Feb-2003
摘要: This work presents a novel procedure for identifying the dynamic characteristics of a building and diagnosing whether the building has been damaged by earthquakes, using a back-propagation neural network approach. The dynamic characteristics are directly evaluated from the freighting matrices of the neural network trained by observed acceleration responses and input base excitations. Whether the building is damaged under a large earthquake is assessed by comparing the modal parameters and responses for this large earthquake with those for a small earthquake that has not Caused this building any damage. The feasibility of the approach is demonstrated through processing the dynamic responses of a five-storey steel frame. subjected to different strengths of the Kobe earthquake, in shaking table tests. Copyright (C) 2002 John Wiley Sons, Ltd.
URI: http://dx.doi.org/10.1002/eqe.219
http://hdl.handle.net/11536/28121
ISSN: 0098-8847
DOI: 10.1002/eqe.219
期刊: EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
Volume: 32
Issue: 2
起始頁: 187
結束頁: 206
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