Wind characteristics of severe typhoon and wind-induced structural behavior of reinforced concrete building in bayesian perspective
Kuok S.-C.; Yuen K.-V.
2015-10-01
PublisherNova Science Publishers
Publication PlaceNew York
Abstract

Severe typhoon generates violent aerodynamic excitation on coastal cities and they can induce destructive effects on the civil infrastructures. This chapter aims at investigating the wind characteristics of severe typhoon and the corresponding windinduced effects on reinforced concrete building. For this purpose, full-scale monitoring on a 64.70m height reinforced concrete building was conducted during the passage of severe typhoon. An ultrasonic anemometer and geophone-based accelerometers were installed on the building to capture continuous measurements including the wind velocity and structural response. The measurements are utilized to identify the wind characteristic properties and evaluate the wind-induced structural effects. The analysis is carried out by employing the Bayesian probabilistic framework. Exploiting the full advantages of Bayesian inference, not only the optimal values of the concerned parameters can be estimated but the associated estimation uncertainty can also be quantified in the form of probabilistic distribution. Consequently, abnormal changes of the estimates can be distinguished explicitly from the variation due to statistical noise. The result provides a reliable basis for the understanding of the features of severe typhoons and diagnosing possible structural damage.

KeywordBayesian Inference Structural Health Monitoring Typhoon Wind Characteristics Wind-induced Structural Behavior
ISBN9781634633482;9781634633093;
URLView the original
Pages99-118
Language英语
Fulltext Access
Document TypeBook
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Kuok S.-C.,Yuen K.-V.. Wind characteristics of severe typhoon and wind-induced structural behavior of reinforced concrete building in bayesian perspective[M]. New York:Nova Science Publishers,2015.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Kuok S.-C.]'s Articles
[Yuen K.-V.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Kuok S.-C.]'s Articles
[Yuen K.-V.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Kuok S.-C.]'s Articles
[Yuen K.-V.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.