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자료유형
학술저널
저자정보
Hu, Ke (Anhui Transportation Holding Group Co., Ltd.) Xie, Zheng (School of Civil Engineering, Hefei University of Technology) Wang, Zuo-Cai (School of Civil Engineering, Hefei University of Technology) Ren, Wei-Xin (School of Civil Engineering, Hefei University of Technology) Chen, Lei-Ke (Anhui Transportation Holding Group Co., Ltd.)
저널정보
테크노프레스 Structural monitoring and maintenance Structural monitoring and maintenance 제5권 제1호
발행연도
2018.1
수록면
93 - 110 (18page)

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In order to provide a novel strategy for long-span bridge health monitoring system design, this paper proposes a novel ultimate bearing capacity ratios based bridge internal force monitoring design method. The bridge ultimate bearing capacity analysis theories are briefly described. Then, based on the ultimate bearing capacity of the structural component, the component ultimate bearing capacity ratio, the uniformity of ultimate bearing capacity ratio, and the reference of component ultimate bearing capacity ratio are defined. Based on the defined indices, the high bearing components can then be found, and the internal force monitoring system can be designed. Finally, the proposed method is applied to the bridge health monitoring system design of the second highway bridge of Wuhu Yangtze river. Through the ultimate bearing capacity analysis of the bridge in eight load conditions, the high bearing components are found based on the proposed method. The bridge internal force monitoring system is then preliminary designed. The results show that the proposed method can provide quantitative criteria for sensors layout. The monitoring components based on the proposed method are consistent with the actual failure process of the bridge, and can reduce the monitoring of low bearing components. For the second highway bridge of Wuhu Yangtze river, only 59 components are designed to be monitored their internal forces. Therefore, the bridge internal force monitoring system based on the ultimate bearing capacity ratio can decrease the number of monitored components and the cost of the whole monitoring system.

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