Classification Of Coal Bursting Liability Of Some Chinese Coals Using Machine Learning Methods

A refined optimization mechanism has been developed for the CBL model, which predicts coal burst incidents by evaluating the coal’s ability to store strain energy and experience impact-induced fractures. This is done through a comprehensive analysis of various laboratory-determined discriminative indexes, including dynamic fracture duration, elastic strain energy index, bursting energy index, and uniaxial compressive strength.