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Fragility Analysis of a Self-Anchored Suspension Bridge Based on Structural Health Monitoring Data

机译:基于结构健康监测数据的自锚式悬架桥的脆弱性分析

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This paper presents an improved fragility analysis methodology to estimate structural vulnerability for probabilistic seismic risk assessment. Three main features distinguish this study from previous efforts. Firstly, the updated fragility curves generated are based on experimental measurements and possess higher accuracy than those produced using design information only. The updated fragility curves take into consideration both the geometry and material properties, as well as long-term health monitoring data, to reflect the current state of the structure appropriately. Secondly, to avoid arbitrariness when selecting ground motions, probabilistic seismic hazard analysis (PSHA) is adopted to provide suggestions for ground motion selection. By considering the uncertainty of the location and intensity of future earthquakes, the PSHA deaggregation result can help to determine the most probable earthquake scenarios for the specific site. Thus, the suggested ground motions are more realistic, and the seismic demand model is much closer to the actual results. Thirdly, this study focuses on the seismic performance evaluation of a typical self-anchored suspension bridge using the form of fragility curves, which has seldom been studied in the literature. The results show that bearing is the most vulnerable part of a self-anchored suspension bridge, while failure probabilities of concrete towers are relatively lower.
机译:本文提出了一种改进的脆弱性分析方法,以估算概率地震风险评估的结构脆弱性。三个主要特征将这项研究与以前的努力区分开来。首先,产生的更新的脆性曲线基于实验测量,并且比仅使用设计信息产生的精度更高。更新的脆性曲线考虑到几何形状和材料属性以及长期健康监测数据,以适当地反映结构的当前状态。其次,为了在选择地面运动时避免任意,采用概率地震危害分析(PSHA)为地面运动选择提供建议。通过考虑未来地震的位置和强度的不确定性,PSHA Deaggregation结果可以帮助确定特定网站的最可能的地震场景。因此,建议的地面运动更为逼真,地震需求模型更接近实际结果。第三,本研究重点介绍了使用脆弱曲线形式的典型自锚悬架桥的地震性能评价,这很少在文献中研究。结果表明,轴承是自锚定悬架桥的最脆弱部分,而混凝土塔的失效概率相对较低。

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