A RESEARCH ON EVOLUTION GENETIC ALGORITHM OF EVALUATING THE SOIL FRICTION PARAMETERS
CHAI He jun 1,2 , LIU Hao wu 1, WANG Zhong 1 (1.Hydroelectric Engineering College of Sichuan University, China; 2.Chengdu University of Technology)
Some improvements of the evolution genetic algorithm (EGA) are presented in this paper. The new operators of crossover and mutation can quicken the learning speed of network. The new algorithm has better performance to obtain the global optimization solution and higher predicting precision than traditional EAG. Evaluation models of friction parameters based on the modified EGA are established which is function of some physical properties of soil in structures. The Xiluodu Hydroelectric Power Station of Jinsha River is going to be another giant project following the Three Gorges Water Conservancy of the Yangtze River. Investigations show that interlayer and intrastratal faults existing in basalt are main structures in the dam site. They will affect the deformation and stability of sliding of high arch dam abutments, dam foundation's rock masses, and surrounding rocks of underground plants etc. The study of these structures' strength is very important to this project. The model is used to predict the friction parameters of soft structure in the dam site. The studies of 9 cases show that the relative error is less than 4.6%, the model is performed well and can be used to predict the friction parameters of soft structure in different areas and under different conditions.
【CateGory Index】： TU432