An intelligent displacement back-analysis method for earth-rockfill dams

被引：162

作者：

Yu, Yuzhen ^{[1
]}

Zhang, Bingyin ^{[1
]}

Yuan, Huina ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Hydraul Engn, State Key Hydrosci & Engn, Beijing 100084, Peoples R China

来源：

COMPUTERS AND GEOTECHNICS | 2007年 / 34卷 / 06期

关键词：

artificial neural network; evolutionary calculation; displacement back-analysis; earth-rockfill dam;

D O I：

10.1016/j.compgeo.2007.03.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 [计算机应用技术]; 0835 [软件工程];

摘要：

An intelligent method for the effective displacement back-analysis of earth-rockfill dams was proposed by combining artificial neural networks and evolutionary calculation. This method employs artificial neural networks, with optimal architecture trained by the evolutionary calculation and Vogl's algorithm, instead of the time-consuming finite element analysis. In the back analysis, the soil parameters were optimized by performing evolutionary calculations on the tested neural network. The proposed method was verified by applying it to the displacement back-analysis of two projects in China, and the influence of generation number and set size on the simulation ability of neural networks was investigated. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：423 / 434

页数：12

共 19 条

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[2]

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