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 (R), i.e. the structural condition of the bearings can only be effectively captured when the value of R ranges from 1/100 and 100.

中文翻译：

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使用基于振动的结构健康监测技术对桥梁支座进行状态评估的简化方法

由于日常交通负载和恶劣的环境条件，桥梁支座的机械性能会随着时间的推移逐渐恶化。然而，在役桥梁支座的结构健康监测相当具有挑战性。本研究提出了一种桥梁支座状况评估框架，该框架整合了来自非接触式干涉雷达（即 IBIS-S）的振动数据和简化的分析模型。以澳大利亚现有的两座混凝土桥梁为例，表明所开发的框架具有实时检测桥梁支座结构状况的能力。此外，一系列参数研究的结果表明，所开发框架的有效性在很大程度上取决于桥梁支座和梁之间的刚度比（R)，即只有当R范围从 1/100 到 100。