桥(图论)
结构工程
方位(导航)
结构健康监测
振动
参数统计
大梁
工程类
刚度
计算机科学
声学
数学
人工智能
内科学
物理
统计
医学
作者
Babar Nasim Khan Raja,Saeed Miramini,Colin Duffield,Shi-lun Chen,Lihai Zhang
标识
DOI:10.1142/s0219455421501339
摘要
The mechanical properties of bridge bearings gradually deteriorate over time resulting from daily traffic loading and harsh environmental conditions. However, structural health monitoring of in-service bridge bearings is rather challenging. This study presents a bridge bearing condition assessment framework which integrates the vibration data from a non-contact interferometric radar (i.e. IBIS-S) and a simplified analytical model. Using two existing concrete bridges in Australia as a case study, it demonstrates that the developed framework has the capability of detecting the structural condition of the bridge bearings in real-time. In addition, the results from a series of parametric studies show that the effectiveness of the developed framework is largely determined by the stiffness ratio between bridge bearing and girder ([Formula: see text], i.e. the structural condition of the bearings can only be effectively captured when the value of [Formula: see text] ranges from 1/100 and 100.
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