Dynamic field monitoring data analysis of an ancient wooden building in seismic and operational environments

Lyu, M; Zhu, X; Yang, Q

Dynamic field monitoring data analysis of an ancient wooden building in seismic and operational environments

Lyu, M Zhu, X

Yang, Q

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Publisher:: TECHNO-PRESS
Publication Type:: Journal Article
Citation:: Earthquake and Structures, 2016, 11, (6), pp. 1043-1060
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Lyu, M
dc.contributor.author	Zhu, X https://orcid.org/0000-0001-5083-9320
dc.contributor.author	Yang, Q
dc.date.accessioned	2022-02-24T06:40:50Z
dc.date.available	2022-02-24T06:40:50Z
dc.date.issued	2016-01-01
dc.identifier.citation	Earthquake and Structures, 2016, 11, (6), pp. 1043-1060
dc.identifier.issn	2092-7614
dc.identifier.issn	2092-7622
dc.identifier.uri	http://hdl.handle.net/10453/154836
dc.description.abstract	The engineering background of this article is an ancient wooden building with extremely high historic and cultural values in Tibet. A full understanding of the dynamic behaviour of this historic building under in-service environments is the basis to assess the condition of the structure, especially its responses to earthquake, environmental and operational loading. A dynamic monitoring system has been installed in the building for over one year and the large amounts of high quality data have been obtained. The paper aims at studying the dynamic behaviour of the wooden building in seismic and operational conditions using the field monitoring data. Specifically the effects of earthquake and crowd loading on the structure's dynamic response are investigated. The monitoring data are decomposed into principal components using the Singular Spectrum Analysis (SSA) technique. The relationship between the average acceleration amplitude and frequencies of the principle components and operational conditions has been discussed. One main contribution is to understand the health condition of complex ancient building based on large databases collected on the field.
dc.language	English
dc.publisher	TECHNO-PRESS
dc.relation.ispartof	Earthquake and Structures
dc.relation.isbasedon	10.12989/eas.2016.11.6.1043
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0403 Geology, 0905 Civil Engineering
dc.title	Dynamic field monitoring data analysis of an ancient wooden building in seismic and operational environments
dc.type	Journal Article
utslib.citation.volume	11
utslib.for	0403 Geology
utslib.for	0905 Civil Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-02-24T06:40:48Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	6

Abstract:

The engineering background of this article is an ancient wooden building with extremely high historic and cultural values in Tibet. A full understanding of the dynamic behaviour of this historic building under in-service environments is the basis to assess the condition of the structure, especially its responses to earthquake, environmental and operational loading. A dynamic monitoring system has been installed in the building for over one year and the large amounts of high quality data have been obtained. The paper aims at studying the dynamic behaviour of the wooden building in seismic and operational conditions using the field monitoring data. Specifically the effects of earthquake and crowd loading on the structure's dynamic response are investigated. The monitoring data are decomposed into principal components using the Singular Spectrum Analysis (SSA) technique. The relationship between the average acceleration amplitude and frequencies of the principle components and operational conditions has been discussed. One main contribution is to understand the health condition of complex ancient building based on large databases collected on the field.

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http://hdl.handle.net/10453/154836