Parametric Identification and Damage Assessment of Real Buildings

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题名:	Parametric Identification and Damage Assessment of Real Buildings
作者:	Wang, G.S.;Li, Y.R.;Huang, F.K.
日期:	2018-10-28
上传时间:	2019-04-20 12:11:28 (UTC+8)
出版者:	Taylor & Francis Group
摘要:	A Frequency-Domain recursive hybrid Genetic Algorithm was developed by the author in 2015. The time history of the measurement is divided into a series of time intervals, and then the model of equivalent linear system is employed to identify the modal parameters of the system for each time interval. The differential equation can be transformed into the frequency domain by finite Fourier transform and the response in the frequency domain can be solved by algebraic equations instead of differentials equations for each time interval. In this paper, this new identification strategy is applied to the identification of two real buildings to monitor the change of modal parameters. The parameters of these structures are identified using the response records of the structure under the attack of earthquakes of different intensities. By employing the Maximum Softening Index and Approximate Story Damage Index, we can determine the damage states of these buildings.
關聯:	Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision – Caspeele, Taerwe & Frangopol (Eds)
显示于类别:	[水資源及環境工程學系暨研究所] 會議論文

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