Abstract
This paper investigated red sandstone’s acoustic emission (AE) and fracture characteristics under high temperature and cyclic load. The specimen’s behavior throughout the process from stabilization to failure was systematically analyzed in terms of the distribution of AE activities, rupture scale, crack type, crack evolution, and failure mode. A crack classification model based on K-medoids and support vector machine (SVM) algorithms was proposed, and the optimal dividing line for tensile-shear cracks at different temperatures was determined as AF=0.335×RA+76.890. The specimen’s failure precursor information was recognized based on the critical slowing down theory.
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