An Early Warning Approach for Monitored Bridges Based on the HLM Indices
|
|
|||||||||||
Bibliografische Angaben
| Autor(en): |
Bing Qu
Rucheng Xiao Bin Sun Liwen Zhang Qianhui Yu |
||||
|---|---|---|---|---|---|
| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013 | ||||
| Veröffentlicht in: | IABSE Conference, Rotterdam, May 2013 | ||||
|
|||||
| Seite(n): | 158-159 | ||||
| Anzahl der Seiten (im PDF): | 7 | ||||
| Jahr: | 2013 | ||||
| DOI: | 10.2749/222137813806474561 | ||||
| Abstrakt: |
An early warning method based on the HLM indices for monitored bridges is proposed in this paper. Only three basic values, the highest value, the lowest value and the mean value in each periodicity (daily periodicity, weekly periodicity, lunar periodicity, etc.), are reserved in this method. These values are categorized and added to corresponding sub-tables of the periodical database. Based on these three key values, a series of mathematical models of early warning indices is established to make a statistical analysis of bridge behavior. The indices include the load-carrying capacity index, loading intensity index, volatility index and directional movement index. This method has already been successfully applied to Yufeng bridge health monitoring system in China’s Jiangsu Province and achieved fine results. |
||||
| Stichwörter: |
Brücke Bewertung
|
||||