基于加权马氏距离法的砂土液化评级模型

Evaluation Model of Sand Soil Liquefaction based on Weighted Mahalanobis Distance Method

砂土液化判别可以有效预测地震砂土液化危险区,及时对危险区进行针对性处理,有助于保障生命与财产安全。通过马氏距离判别法和综合权重赋值相结合,建立基于砂土液化预测的判别模型,选取粒径、层厚、标贯击数作为砂土液化判别因子,运用综合权重法确定各因子的权重,将砂土液化样本分为轻微液化、中等液化以及严重液化三个等级,依据加权马氏距离液化判别模型求得样本液化等级。计算结果与工程实测结果对比显示,加权马氏距离模型进行砂土液化判别具有良好的效果,与实测结果有较强的一致性,和其他判别方法相比具有较低的误判率,可望成为砂土液化预测的有效手段。

Sand soil liquefaction discrimination can effectively predict liquefaction risk areas to target treatment of dangerous areas timely and help to ensure the safety of life and property.Through the combination of Mahalanobis distance discrimination method and comprehensive weight assignment,the paper establishes a discriminant model based on sand liquefaction prediction.Selecting particle size,layer thickness,and standard penetration number as the sand liquefaction discriminating factors,and using the comprehensive weight method to determine each factor,the sand liquefaction sample is divided into three grades:light liquefaction,medium liquefaction and severe liquefaction,and the sample liquefaction grade is obtained according to the weighted Mahalanobis distance liquefaction discrimination model.The comparison between the calculated results and the measured results shows that the weighted Mahalanobis distance model has a good effect on sand liquefaction prediction,has a strong consistency with the measured results,and has a lower miscalculation rate compared with other judgment methods,which is expected to become an effective means for sand liquefaction prediction.