Development of site-specific live load models for bridge condition assessment based on long-term SHM data
Abstract »To evaluate the bridge condition and optimize cost-effective bridge maintenance programs, the knowledge of site-specific live loads is nearly indispensable. Data collected by the structural heath monitoring (SHM) system provide valuable information to develop site-specific live load models. The Tsing Ma Bridge (TMB) in Hong Kong, which was instrumented with a permanent SHM system after the completion of its construction, is taken as the testbed. Based on nine years of weigh-in-motion and strain data, as well as typical recordings of the close-circuit television video system, which was installed to monitor the traffic of the bridge, this paper studies the development of live load models for bridge condition assessment making full use of long-term SHM data. The live load is modelled by a uniform distribution load and single concentrated load. Multilane factors and dynamic impact of vehicles are also considered. Models for bridge evaluation under both the serviceability limit state and ultimate limit state are developed. The TMB is a typical suspension bridge, not only because of its large scale, but also because of the extraordinarily heavy and busy traffic on it. Therefore, in addition to evaluating the condition of the TMB, the developed live load model can also serve as a reference for the design and condition assessment of other long-span bridges.
Biography: Yun-Xia Xia is now a PHD student of the Hong Kong Polytechnic University.
Affiliation: The Hong Kong Polytechnic University Department of Civil and Environmental Engineering 000000 Hong Kong Hong Kong, ChinaNi, Yi-Qing**Ni, Yi-Qing** firstname.lastname@example.org
Biography: Yiqing Ni is now a Professor of the Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University. His research interests include structural health monitoring, structural dynamics and control, smart materials and structures, sensors and actuators, and monitoring and control in rail engineering. http://www.zn903.com/yqni/
Affiliation: The Hong Kong Polytechnic University Department of Civil and Environmental Engineering Hong Kong Hong Kong, China*Contact**Speaker