A BP neural network model for SWCC considering consolidation stress

摘要：

Soil-Water Characteristic Curve (SWCC) plays an important role in theoretical research and practical application. At present, SWCC can be obtained from experiments. The experimental results are inconvenient for practical application. Some models are presented to fit experimental results, such as Gardner model, V-G model, etc. Recent experimental results show that besides water content, the consolidation stress has influence on SWCC either, while most of the models did not consider this factor. In this paper, based on the experimental results of SWCC under different consolidation stresses, a BP neural network model for SWCC considering consolidation stress is created. The input layer of BP model contains 2 neurons, namely soil suction and consolidation stress; output layer includes 1 neurons, namely mass soil water content. And there are two layers in middle layer, one layer contains 6 neuroses and another layer contains 13 neuroses. Compared with previous research and experimental results, the BP model presented in this paper shows higher accuracy and more convenience.

关键词： unsaturated soils SWCC BP neural network

作者: Tian Dongfang Wang Shimei Xiao Shirong

作者单位: Hydraulic & Environmental Engineering College China Three Gorges University Yichang,Hubei Province, Civil & Architectural Engineering College China Three Gorges University Yichang, Hubei Province, Chi

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 53-55

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）