Prediction of Mining Subsidence in Shallow Coal Seam
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Theoretical calculation, numerical simulation, and field measurement were combined to study the recovery of coal resources in the 5th pan area of Dianping Coal Mine without damaging surface buildings.
A mathematical model was established to predict the settlement range and displacement of the surface after coal mining.
The FLAC3D5.0 program was used to simulate the evolution law of the overburden strata under the coal mining conditions of the study area.
The lateral influence range was 45.8 m and 42.4 m, and the maximum surface subsidence was 2.604 m and 2.78 m, respectively.
The mining boundary of the 5-210 working face was designed using the result of the simulation program.
Real-time dynamic observation data collected from 18 surface displacement monitoring points measured surface subsidence as 2.69 m.
The civil construction protection area was not deformed.
The working face provided safe recovery of 1,471,446,000 kg of coal, resulting in significant economic and social benefits.
American Psychological Association (APA)
Li, Gang& Yang, Qinghe. 2020. Prediction of Mining Subsidence in Shallow Coal Seam. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1200793
Modern Language Association (MLA)
Li, Gang& Yang, Qinghe. Prediction of Mining Subsidence in Shallow Coal Seam. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1200793
American Medical Association (AMA)
Li, Gang& Yang, Qinghe. Prediction of Mining Subsidence in Shallow Coal Seam. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1200793
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200793