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A unified classification model for modeling of seismic liquefaction potential of soil based on CPT

机译:基于CPT的土壤地震液化势建模统一分类模型

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摘要

The evaluation of liquefaction potential of soil due to an earthquake is an important step in geosciences. This article examines the capability of Minimax Probability Machine (MPM) for the prediction of seismic liquefaction potential of soil based on the Cone Penetration Test (CPT) data. The dataset has been taken from Chi–Chi earthquake. MPM is developed based on the use of hyperplanes. It has been adopted as a classification tool. This article uses two models (MODEL I and MODEL II). MODEL I employs Cone Resistance (qc) and Cyclic Stress Ratio (CSR) as input variables. qc and Peak Ground Acceleration (PGA) have been taken as inputs for MODEL II. The developed MPM gives 100% accuracy. The results show that the developed MPM can predict liquefaction potential of soil based on qc and PGA.
机译:地震引起的土壤液化潜力的评估是地球科学的重要一步。本文研究了基于圆锥渗透试验(CPT)数据的Minimax概率机(MPM)预测土壤地震液化潜力的能力。该数据集取自Chi-Chi地震。 MPM是基于使用超平面而开发的。它已被用作分类工具。本文使用两种模型(MODEL I和MODEL II)。模型I采用锥电阻(qc)和循环应力比(CSR)作为输入变量。 qc和峰值地面加速度(PGA)已作为模型II的输入。开发的MPM可以提供100%的精度。结果表明,所开发的MPM可以基于qc和PGA预测土壤液化潜力。

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