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

Shock and Vibration

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

Civil Engineering

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