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Probabilistic evaluation of seismic soil liquefaction potential based on SPT data

机译:基于SPT数据的地震土液化潜力概率评估

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The performance-based liquefaction potential analysis was carried out in the present study to estimate the liquefaction return period for Bangalore, India, through a probabilistic approach. In this approach, the entire range of peak ground acceleration (PGA) and earthquake magnitudes was used in the evaluation of liquefaction return period. The seismic hazard analysis for the study area was done using probabilistic approach to evaluate the peak horizontal acceleration at bed rock level. Based on the results of the multichannel analysis of surface wave, it was found that the study area belonged to site class D. The PGA values for the study area were evaluated for site class D by considering the local site effects. The soil resistance for the study area was characterized using the standard penetration test (SPT) values obtained from 450 boreholes. These SPT data along with the PGA values obtained from the probabilistic seismic hazard analysis were used to evaluate the liquefaction return period for the study area. The contour plot showing the spatial variation of factor of safety against liquefaction and the corrected SPT values required for preventing liquefaction for a return period of 475 years at depths of 3 and 6 m are presented in this paper. The entire process of liquefaction potential evaluation, starting from collection of earthquake data, identifying the seismic sources, evaluation of seismic hazard and the assessment of liquefaction return period were carried out, and the entire analysis was done based on the probabilistic approach.
机译:在本研究中进行了基于性能的液化潜力分析,以通过概率方法估计印度班加罗尔的液化返回期。在这种方法中,将整个峰值地面加速度(PGA)和地震震级范围用于液化返回期的评估。使用概率方法对研究区域进行地震危险性分析,以评估基岩水平的峰值水平加速度。根据表面波多通道分析的结果,发现研究区域属于场所类别D。通过考虑局部场所效应对场所类别D评估了研究区域的PGA值。使用从450个钻孔获得的标准渗透试验(SPT)值来表征研究区域的土壤阻力。这些SPT数据以及从概率地震灾害分析中获得的PGA值用于评估研究区域的液化返回期。本文绘制了等高线图,显示了抗液化的安全因素的空间变化以及在3年和6 m深度防止475年回归期液化所需的校正SPT值。从收集地震数据,确定震源,评价地震危险性和评估液化返回期开始,对液化潜力进行了全过程评估,并基于概率方法进行了分析。

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