Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function

Chunyi Li, Laizhong Ding, Ximin Cui, Yuling Zhao, Yihang He, Wenzhi Zhang and Zhihui Bai
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Chunyi Li: School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Laizhong Ding: School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Ximin Cui: College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
Yuling Zhao: School of Mining & Geomatics, Hebei University of Engineering, Handan 056038, China
Yihang He: School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Wenzhi Zhang: School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Zhihui Bai: Jizhong Energy Fengfeng Mining Group Co., Ltd., Handan 056107, China

Energies, 2022, vol. 15, issue 14, 1-20

Abstract: The exploitation of underground coal resources has stepped up local economic and social development significantly. However, it was inevitable that time-dependent surface settlement would occur above the mined-out voids. Subsidence associated with local geo-mining can last from several months to scores of years and can seriously impact infrastructure, city planning, and underground space utilization. This paper addresses the problems in predicting progressive residual surface subsidence. The subsidence process was divided into three phases: a duration period, a residual subsidence period, and a long-term subsidence period. Then, a novel mathematical model calculating surface progressive residual subsidence was proposed based on the logistic time function. After the duration period, the residual subsidence period was extrapolated according to the threshold of the surface sinking rate. The validation for the proposed model was estimated in light of observed in situ data. The results demonstrate that the logistic time function is an ideal time function reflecting surface subsidence features from downward movement, subsidence rate, and sinking acceleration. The surface residual subsidence coefficient, which plays a crucial role in calculating surface settling, varies directly with model parameters and inversely with time. The influence of the amount of in situ data on predicted values is pronounced. Observation time for surface subsidence must extend beyond the active period. Thus back-calculated parameters with in situ measurement data can be reliable. Conversely, the deviation between predictive values and field-based ones is significant. The conclusions in this study can guide the project design of surface subsidence measurement resulting from longwall coal operation. The study affords insights valuable to land reutilization, city planning, and stabilization estimation of foundation above an abandoned workface.

Keywords: residual subsidence; logistic time function; mining subsidence; surface subsidence process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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