期刊
SMART STRUCTURES AND SYSTEMS
卷 14, 期 2, 页码 129-144出版社
TECHNO-PRESS
DOI: 10.12989/sss.2014.14.2.129
关键词
health monitoring; Donghai Bridge; online evaluation; analytical hierarchy process; fuzzy inference system
资金
- state high-tech research and development plans (863) [2014AA110402]
- Project of National Key Technology R&D Program in the 12th Five Year Plan of China [2012BAJ11B01]
- National Nature Science Foundation of China [50978196]
- Fundamental Research Funds for the Central Universities
- State Meteorological Administration Special Funds of Meteorological Industry Research [201306102]
In this paper, a fuzzy inference system and an analytical hierarchy process-based online evaluation technique is developed to monitor the condition of the 32-km Donghai Bridge in Shanghai. The system has 478 sensors distributed along eight segments selected from the whole bridge. An online evaluation subsystem is realized, which uses raw data and extracted features or indices to give a set of hierarchically organized condition evaluations. The thresholds of each index were set to an initial value obtained from a structure damage and performance evolution analysis of the bridge. After one year of baseline monitoring, the initial threshold system was updated from the collected data. The results show that the techniques described are valid and reliable. The online method fulfills long-term infrastructure health monitoring requirements for the Donghai Bridge.
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