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Field Condition Informed Updating of Aging Bridge Fragility Models

机译:老化条件下桥梁老化模型的知情更新

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Deterioration of the structural capacity of highway bridges has a potential to yield structures that are significantly more vulnerable to natural hazards such as earthquakes. Although time dependent bridge fragility models help to predict the vulnerability of degraded structures, inherent assumptions in the probabilistic modeling introduce significant uncertainty and may result in either under-or over-prediction of the damage probability. Hence, it is important to consider the actual field condition of the structure through sensing and health monitoring to reduce errors arising from modeling assumptions. This paper presents a framework for Bayesian updating of time dependent seismic fragility curves based on field condition data. The advantages of this study are twofold: first, it addresses the need and methodology required to incorporate new information available from bridge monitoring for fragility assessment; and secondly, it provides a more realistic estimate of bridge fragility under seismic threats for use in risk analyses.
机译:公路桥梁结构能力的下降有可能导致结构变得更容易受到地震等自然灾害的伤害。尽管与时间有关的桥梁脆性模型有助于预测退化结构的脆弱性,但概率模型中的固有假设引入了很大的不确定性,并可能导致损坏概率的过低或过高的预测。因此,重要的是要通过传感和健康监测来考虑结构的实际现场条件,以减少建模假设引起的误差。本文提出了一种基于现场条件数据的时变地震脆性曲线贝叶斯更新框架。这项研究的优点是双重的:首先,它解决了将桥梁监测中可获得的新信息用于脆弱性评估的需求和方法。其次,它为地震威胁下的桥梁脆性提供了更现实的估计,可用于风险分析。

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