Abstract:

A parameter inversion method is presented for fully coupled analysis of steady water flow and stress in fissured rock masses based on forward coupling analysis and new hybrid genetic optimization algorithms, as well as different types in-situ measured data of both water head and displacement. The sensitivity of in-situ water head measured data to seepage parameters is considered in constructing the objective function and the sensitivity of in-situ displacement measured data to mechanical parameters is considered in choosing unknown parameters for inversion based on the concept of relative sensitivity. The validity and rationality of the method are studied for a fissured bank rock slope problem. According to sensitivity analysis of displacement to mechanical parameters, the best optimized location of points for displacement measuring is suggested. The fully coupled inversion of parameters for the slope is carried out as wall as forward analysis results are assumed to be the measured data.

Key words: fissured rock mass, static coupled analysis, parameter inverse problem, hybrid genetic algorithms, sensitivity analysis