A Prediction Method of Historical Timber Buildings’ Vibrations Induced by Traffic Loads and Its Validation
Joint Authors
Zhang, Yunshi
Cao, Yanmei
Xia, He
Zhang, Nan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-07
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A prediction method in the frequency domain is proposed for predicting the vibrations of historical timber building induced by traffic loads.
The modal parameters of a structure are identified using a double-confirmation analysis method based on the autospectrum.
Then, the vibration responses of the building are calculated using a limited number of measurement records by inputting the calculated vibration information for the foundation of the updated building model.
The proposed method is used to predict the vibrations of the Buddhist sutra depositary at Yangzhou Zhunti Temple.
Comparing the results shows that the vibration responses of a structure under traffic loads can be effectively predicted in the relevant frequency bands.
American Psychological Association (APA)
Zhang, Yunshi& Zhang, Nan& Cao, Yanmei& Xia, He. 2017. A Prediction Method of Historical Timber Buildings’ Vibrations Induced by Traffic Loads and Its Validation. Shock and Vibration،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1203967
Modern Language Association (MLA)
Zhang, Yunshi…[et al.]. A Prediction Method of Historical Timber Buildings’ Vibrations Induced by Traffic Loads and Its Validation. Shock and Vibration No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1203967
American Medical Association (AMA)
Zhang, Yunshi& Zhang, Nan& Cao, Yanmei& Xia, He. A Prediction Method of Historical Timber Buildings’ Vibrations Induced by Traffic Loads and Its Validation. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1203967
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203967