Intelligent Identification of Equivalent Rock Mass Parameters Based on Evolutional Algorithm

Numerical simulation of geotechnical engineering requires mechanical data such as elastic modules, Poisson's ratio, cohesion and internal friction angle. Therefore, the identification of these parameters is crucial. This article deals with a novel intelligent identification method to determine the parameters of geotechnical engineering, which is a combination of genetic programming, genetic algorithm and FLAC3D. Besides, a case study of the Guzhi district of Tangshan city, Hebei Province, northern of China is offered .The equivalent rock mass parameters are accurately obtained, a numerical simulation is conducted with these parameters, whose results indicate that calculated displacements show good agreement with the measured displacements. Therefore, the method proposed in this paper is feasible to do the parameters estimation in geotechnical engineering.