Research on Application of Multi-Physical Coupling Model in Prediction and Control of Surface Subsidence in Coal Mining

Abstract

Addressing the issue of terrain depression stemming from coal extraction, this investigation delves into the utility of a multi-physics integration model for forecasting and managing subsidence phenomena. The impact of coal excavation operations on the surface configuration is a sophisticated amalgamation of multi-physics field interactions, encompassing the interplay of pressure, fluid dynamics, thermal conditions, and additional physical domains. Through the strategic design of algorithms, the system achieves a high level of precision in terrain depression prediction. Simulation outcomes reveal a pronounced non-linear correlation between terrain depression and pivotal factors like excavation depth, rate of extraction, and the expanse of the mining zone, under specified mining circumstances. Statistical evaluation indicates that the accuracy in predicting terrain depression surpasses 97%, with the margin of error maintained under 3%. Moreover, this treatise scrutinizes the repercussions of varying mining tactics on terrain depression, uncovering that through the refinement of mining variables, terrain depression can be efficiently curtailed, thus mitigating the adverse impacts on the natural habitat. This inquiry not only furnishes a theoretical foundation for the prediction of terrain depression in the context of coal mining, but also offers technical directives and a pragmatic pathway towards implementing eco-friendly mining practices and safeguarding the environment, bearing considerable practical importance and applicability for the enduring progress of the coal sector.