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砂土液化预测的Fisher判别分析模型及应用

赵小敏 曹丽文

水文地质工程地质2012,Vol.39Issue(3):129-133,5.
水文地质工程地质2012,Vol.39Issue(3):129-133,5.

砂土液化预测的Fisher判别分析模型及应用

Fisher discriminant analysis model and its application to sand liquefaction prediction

赵小敏 1曹丽文2

作者信息

  • 1. 中国矿业大学资源与地球科学学院,徐州221008
  • 2. 淮北师范大学物理与电子信息学院,淮北235000
  • 折叠

摘要

Abstract

For the prediction of seismic liquefaction of sand, Fisher discriminant model is established to the prediction of sand liquefaction based on the principle of Fisher discriminant analysis theory with eight factors listed as follows: mean diameter, coefficient of non-uniformity, blow number of standard penetration test, underground water depth, sand depth, ratio of shearing stress to effective overburden stress, seismic intensity, epicenteral distance. Through computing practical examples and assessing the model, the Fisher discriminant analysis model is manifested to be of rationality and reliability and the model identification results are consistent with the neural network output, and are better than the discriminant results with the specification method and Seed method. It is easy and efficient to make discriminant analysis using this model and it can provide efficient means to predict sand liquefaction.

关键词

砂土液化/地震/Fisher判别分析

Key words

sand liquefaction/ earthquake/ Fisher discriminant analysis

分类

天文与地球科学

引用本文复制引用

赵小敏,曹丽文..砂土液化预测的Fisher判别分析模型及应用[J].水文地质工程地质,2012,39(3):129-133,5.

基金项目

国家自然科学基金项目(41072236) (41072236)

水文地质工程地质

OA北大核心CSCDCSTPCD

1000-3665

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