ABSTRACT

Seismic fragility analysis has been considered an efficient method for seismic performance assessment of soil-pile-superstructure systems (SPSSs). However, seismic fragility analysis based on widely used numerical methods often requires a significant investment of time. In this study, a new approach based on the random forest technique, which can be applied to fragility analysis, is proposed to accurately and efficiently predict the maximum seismic response of SPSSs. Moreover, based on the random forest technique, the velocity RMS is found to exhibit a stronger correlation with the maximum seismic response of SPSSs in liquefiable soils.

中文翻译：

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使用随机森林预测土-桩-上部结构系统的最大地震响应

摘要

地震脆性分析被认为是评估土-桩-上部结构系统（SPSSs）抗震性能的有效方法。然而，基于广泛使用的数值方法的地震脆弱性分析通常需要大量的时间投入。在这项研究中，提出了一种基于随机森林技术的新方法，该方法可应用于脆性分析，以准确有效地预测 SPSS 的最大地震响应。此外，基于随机森林技术，发现速度RMS与液化土壤中SPSS的最大地震响应具有更强的相关性。