Study on Activation and Restructuring of Key Strata in Shallowly Buried Coal Seam Bearing Structure and Load Characteristics

Author:

He Yifeng12ORCID,Zhang Jie12,Liu Hui12,Yang Tao12ORCID,Sun Jianping12

Affiliation:

1. School of Energy, Xi’an University of Science and Technology, Xi’an 710054, China

2. Key Laboratory of Mine Mining and Disaster Prevention in West China, Ministry of Education, Xi’an University of Science and Technology, Xi’an 710054, China

Abstract

The mining of shallow coal seam groups triggers the activation of overlying strata, leading to increased pressure and support difficulties, thereby posing a threat to the safe extraction of underlying coal seams. Against the backdrop of Longhua Coal Mine, this study utilized physical similarity simulation experiments to obtain the activated, restructured load-bearing structure and the migration characteristics of overlying strata. Theoretical calculations were employed to establish both a rolling friction mechanics model for the activated load-bearing structure and a mechanical model for the combined load-bearing structure of key strata. The research indicates that during the initial activation phase, the load-bearing structure exhibits a V-shaped hinged arch, with directly collapsed rock masses transitioning towards spherical shapes, resulting in the sub-key strata shifting from sliding friction to rolling friction. Based on the rolling friction mechanics model of the activated load-bearing structure, we derived the rolling friction coefficient of key blocks in the sub-key strata and the instability criterion of the load-bearing structure under rolling friction conditions. Considering the migration characteristics of the activated restructured load-bearing structure, four types of combined load-bearing structures were identified, and the load calculation formulas in the mechanical model were derived, with the rationality of these formulas verified through case analysis.

Funder

National Natural Science Foundation of China

Shaanxi Postdoctoral Science Foundation

Shaanxi Provincial Natural Science Foundation

Publisher

MDPI AG

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