The pipe health monitoring model with stress–strain and pipe–soil interaction for goaf

The soil subsidence in goaf will cause the elastic and plastic deformation of pipeline, which will shorten its service life. So it is crucial to study the mechanism of pipe–soil interaction during subsidence and establish the efficient model that can represent the state of soil subsidence, that is, the pipeline health state detection model. This paper studied the spatio-temporal evolution law of soil subsidence process in goaf based on the probability integral method. The stress and strain model of pipe–soil interaction was proposed to describe pipe–soil interaction mechanism. The accuracy of the finite element analysis results is verified by experiments, and the strain error is within 6%, which guarantees the accuracy of the pipe stress–strain-based health monitoring model. Based on the discrete mechanics data obtained from finite element analysis, a hybrid kernel function support vector machine method was proposed to study the continuous mapping model of soil subsidence state–pipeline strain state–stress state, which can calculate the healthy status efficiency and precisely. It lays the foundation for the establishment of the pipeline health condition detection system.