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Seismic performance and fragility of two-story and three-span underground structures using a random forest model and a new damage description method
Tunnelling and Underground Space Technology ( IF 6.9 ) Pub Date : 2023-02-17 , DOI: 10.1016/j.tust.2022.104980
Jing Yang, Haiyang Zhuang, Guangyu Zhang, Baizan Tang, Changjie Xu

This paper proposes a new method for evaluating the seismic performance and fragility of large underground structures. A typical underground subway station consisting of a two-story and three-span structure was used as the research subject. Considering the variation of sites and the uncertainty of input ground motions, we developed a finite element model of a nonlinear dynamic soil-underground structure interaction system. Based on the incremental dynamic analysis method, the nonlinear seismic responses of the subway station structure were calculated for 900 cases. Python (software) was used to accelerate the processing of the large number of numerical simulation data. Based on the seismic damage characteristics of an underground structure, this paper proposes a new concept of average seismic damage value to evaluate the damage condition of the underground structure to overcome the inadequacies induced by an expert’s intuitive judgment. Meanwhile, the random forest prediction model was adopted to predict the seismic performance levels (SPLs) of the underground structure, and a non-parametric test was performed to verify the correlation between the degree of seismic damage and the inter-story drift ratios (IDR) of the large underground structure. This proved that the IDR could describe the seismic damage of shallow-buried underground structures; we advanced a precise quantification system of the SPL for shallow-buried subway station structures with two-story and three-span using probability statistics. The peak ground velocity (PGV) is more suitable than the peak ground acceleration (PGA) for use as the seismic intensity measure (IM) for large underground structures when the stiffness of the soil foundation becomes soft. In addition, the seismic fragility curves of the shallow-buried subway station structure were constructed and analyzed using the developed quantification system for the SPL.



中文翻译:

基于随机森林模型的二层三跨地下结构抗震性能及易损性及损伤描述新方法

本文提出了一种评价大型地下结构抗震性能和易损性的新方法。以典型的两层三跨结构的地下地铁站为研究对象。考虑到场地的变化和输入地震动的不确定性,我们开发了非线性动力土-地下结构相互作用系统的有限元模型。基于增量动力分析方法,对900例地铁车站结构的非线性地震反应进行了计算。Python(软件)用于加速大量数值模拟数据的处理。根据某地下结构地震破坏特征,为了克服专家凭直觉判断的不足,本文提出了平均地震损伤值的新概念来评价地下结构的损伤状况。同时,采用随机森林预测模型对地下结构的抗震性能水平(SPLs)进行预测,并进行非参数测试验证地震破坏程度与层间位移比(IDR)之间的相关性) 大型地下结构。证明IDR可以描述浅埋地下结构的震害;我们提出了一种基于概率统计的二层三跨浅埋地铁站结构声压级精确量化系统。当土基刚度变软时,峰值地面速度 (PGV) 比峰值地面加速度 (PGA) 更适合用作大型地下结构的地震烈度测量 (IM)。此外,利用为 SPL 开发的量化系统构建和分析了浅埋地铁站结构的地震易损性曲线。

更新日期:2023-02-17
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