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膨胀土中的吸力预测研究

缪林昌 于昕

东南大学学报(英文版)2004,Vol.20Issue(3):364-368,5.
东南大学学报(英文版)2004,Vol.20Issue(3):364-368,5.

膨胀土中的吸力预测研究

Research on prediction of soil suction in expansive soil

缪林昌 1于昕2

作者信息

  • 1. 东南大学交通学院,南京,210096
  • 2. 江苏省地震工程研究院,南京,210014
  • 折叠

摘要

Abstract

Soil-water characteristic curves of expansive clay are usually measured in the laboratory, but soil suction in the field is extremely difficult and time consuming. In this paper, the method of artificial neural network (ANN) is adopted to predict soil suction in the field by using measured water contents. This is done by training the network using laboratory measured soil-water characteristics. Prediction soil suctions using the ANN with some limited in-situ measured water contents are compared with actual suction measurements in the field. Prediction results are discussed.

关键词

膨胀土/水分特征曲线/人工神经网络/吸力

Key words

expansive soil/soil-water characteristic curve (SWCC)/artificial neural network (ANN)/suction

分类

建筑与水利

引用本文复制引用

缪林昌,于昕..膨胀土中的吸力预测研究[J].东南大学学报(英文版),2004,20(3):364-368,5.

基金项目

The National Natural Science Foundation of China (No. 40374047). (No. 40374047)

东南大学学报(英文版)

1003-7985

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