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SHM-integrated bridge reliability estimation using multivariate stochastic processes

机译:使用多元随机过程进行SHM集成的桥梁可靠性评估

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摘要

Determination of response characteristics using probabilistic approaches is essential to deal with high level of load and resistance uncertainties in civil engineering structures. Multi-span bridges present a significant problem regarding the varying nature of seismic loads on different bridge piers. With an emphasis on comparison of multi-support excitation with the conventional uniform excitation, this paper aims at providing a framework to evaluate probabilistic seismic response and estimate reliability of bridges under multi-support excitations simulated by multivariate stochastic processes. Moreover, the framework integrates the experimental data of a multi-support seismic shaking table test of a multi-span bridge structure as well as structural health monitoring (SHM) findings based on vibration measurements. The results demonstrate the importance of the multivariate stochastic processes, therefore, multi-support excitation, on estimating seismic behavior of multi-span bridges. Furthermore, this study proves the significance of structural parameter updating with respect to the evaluation of structural reliability. It is observed that the difference between the SHM-integrated and the conventional reliability estimation results vary according to the change in bedrock conditions.
机译:使用概率方法确定响应特性对于处理土木工程结构中高水平的载荷和阻力不确定性至关重要。多跨度桥梁提出了关于不同桥墩上地震荷载变化性质的重大问题。本文着重于将多支撑激励与常规均匀激励进行比较,旨在提供一个框架,用于评估概率地震响应,并通过多元随机过程模拟在多支撑激励下评估桥梁的可靠性。此外,该框架还集成了多跨桥梁结构的多支撑地震台试验的实验数据以及基于振动测量的结构健康监测(SHM)结果。结果表明,多元随机过程的重要性,因此,多支撑激励对估计多跨桥梁的地震行为具有重要意义。此外,本研究证明了结构参数更新对于结构可靠性评估的重要性。可以看出,SHM积分与常规可靠性估算结果之间的差异会随基岩条件的变化而变化。

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