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Pattern Recognition of the Seismic Demands for Tall Pier Bridge Systems
Journal of Earthquake Engineering ( IF 2.5 ) Pub Date : 2021-05-31 , DOI: 10.1080/13632469.2021.1927894
Farahnaz Soleimani 1
Affiliation  

ABSTRACT

An essential and emerging task in the area of performance-based seismic assessment of bridges is to improve the estimation of the seismic demands. Existing research proved that the bridge column is one of the dominant components in estimating the bridge system vulnerability. However, the seismic performance of bridges with tall piers is not deeply investigated yet. This study aims to address this problem through analysis of multi-span concrete box-girder bridges with tall piers. This study implements a clustering algorithm that identifies optimized groupings which can set up the basis to establish the best choice for generating MLPSDMs. The evaluation results implicate better performance of cluster-wise multiple models than a single model to represent the variation in the bridge demands. The insights gained from the findings of this study can pave the way toward a better realization of the seismic performance of bridges having tall piers.



中文翻译:

高墩桥系统抗震需求模式识别

摘要

在基于性能的桥梁抗震评估领域,一项重要且新兴的任务是改进对抗震需求的估计。现有研究证明,桥柱是评估桥梁系统脆弱性的主要组成部分之一。然而,高墩桥梁的抗震性能尚未得到深入研究。本研究旨在通过分析具有高墩的多跨混凝土箱梁桥来解决这个问题。本研究实施了一种聚类算法,该算法可识别优化的分组,从而为生成 MLPSDM 的最佳选择奠定基础。评估结果表明,集群方式的多个模型比单个模型更好地表示桥梁需求的变化。

更新日期:2021-05-31
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