Artificial intelligent computation and assessment criterion of rock fracture fractal character from acoustic emission

The progressive fracture development of rock mass is determined by the rock mass structure, such as folds. joints, layered strata and fracture zones, and also the combination of multi-fields such as stress, temperature and seepage fields. or multi-phase medium properties. The fracture processes are not well understood. The main concern of this paper is to integrate GIS, C++ program and scripts of ArcView to explore fracture pattern description., fracture process analysis and fracture assessment approach through fractal geometry description from acoustic emission. By minimizing signal detection errors, a new model for assessment of rock fracture is proposed.