Damage Identification on a Numerical Two-Storey Framed Structure using Ambient Vibration Response Analysis and Artificial Neural Networks

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dc.contributor.author Dackermann, Ulrike en_US
dc.contributor.author Li, Jianchun en_US
dc.contributor.author Samali, Bijan en_US
dc.contributor.editor Law, S; Cheng, L; Xia, Y; SU, Z en_US
dc.date.accessioned 2012-10-12T03:36:50Z
dc.date.available 2012-10-12T03:36:50Z
dc.date.issued 2011 en_US
dc.identifier 2011002718 en_US
dc.identifier.citation Dackermann Ulrike, Li Jianchun, and Samali Bijan 2011, 'Damage Identification on a Numerical Two-Storey Framed Structure using Ambient Vibration Response Analysis and Artificial Neural Networks', , The Hong Kong Polytechnic University, Hong Kong, , pp. 338-347. en_US
dc.identifier.issn 978-962-367-731-8 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/19367
dc.description.abstract This paper presents a damage identification method based on ambient floor vibration measurements in multi-storey buildings. The proposed method uses ambient response vibration data to fannulate a damage index based on Frequency Response Functions (FRFs), which is used as input parameter to artificial neural networks (ANNs), to identify locations and severities of damage in a two-storey framed structure. By adopting principal component analysis (PCA) techniques, the Size of the derived damage index is reduced in order to obtain suitable patterns for ANN training. A hierarchy of neural network ensembles is designed to take advantage of individual characteristics of measurements from different floor locations. The proposed method is tested on finite element models of a complex two-storey framed structure inflicted with notch-type damage of different locations and severities (in total six damage cases). The results of the study show that the proposed algorithm is capable of accurately and reliably identifying damage in complex multi-storey structures based on response-only ambient floor vibration measurements. en_US
dc.language English en_US
dc.publisher The Hong Kong Polytechnic University en_US
dc.relation.isbasedon en_US
dc.title Damage Identification on a Numerical Two-Storey Framed Structure using Ambient Vibration Response Analysis and Artificial Neural Networks en_US
dc.parent Proceeding of The 14th Asia Pacific Conferance en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Hong Kong en_US
dc.identifier.startpage 338 en_US
dc.identifier.endpage 347 en_US
dc.cauo.name FEIT.School of Civil and Environmental Engineering en_US
dc.conference Verified OK en_US
dc.for 120100 en_US
dc.personcode 995216 en_US
dc.personcode 930859 en_US
dc.personcode 870186 en_US
dc.percentage 50 en_US
dc.classification.name Architecture en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Dynamics for Sustainable Engineering en_US
dc.date.activity 20111205 en_US
dc.location.activity Hong Kong en_US
dc.description.keywords Damage Identification, Ambient Vibration, Artificial Neural Networks, Neural Network Ensembles, Structural Health Monitoring, Frequency Response Functions, Principal Component Analysis en_US
dc.staffid en_US
dc.staffid 870186 en_US


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