Failure analysis and prediction of roof instability in end face under repeated mining using early warning system

The overlying strata of the lower coal seam is easy to be collapsed causing the roof caving accident at the end face of the mining working face under repeated mining in close-distance coal seams. In order to predict the roof instability of the end face, the mechanical model of the granular arch stru...

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Main Authors: Li, Fei, Kong, Dezhong, Li, Qiang, Shang, Yuqi, Cheng, Zhanbo, He, Liuquan
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/169225
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1692252023-07-14T15:33:13Z Failure analysis and prediction of roof instability in end face under repeated mining using early warning system Li, Fei Kong, Dezhong Li, Qiang Shang, Yuqi Cheng, Zhanbo He, Liuquan School of Civil and Environmental Engineering Engineering::Civil engineering Failure Analysis Roof The overlying strata of the lower coal seam is easy to be collapsed causing the roof caving accident at the end face of the mining working face under repeated mining in close-distance coal seams. In order to predict the roof instability of the end face, the mechanical model of the granular arch structure is established in this study to further analyze its main influencing factors. The results show that the mining height of the working face, the advancing speed, the distance of coal seams, the tip-to-face distance, the strength of the surrounding rock and the support setting the load of the support are the main influencing factors on the roof caving of the end face. Subsequently, the prediction model of roof instability in the end face under repeated mining is constructed through the radial basis function neural network (RBFNN) and the above main influencing factors are regarded as input layer indexes. Meanwhile, the roof subsidence, coal wall deformation and support load are determined as the output layer indexes. The predicted results are closer to the results of sample tests. Finally, the early warning system, including monitoring and early warning, data query, emergency management, user management, and system settings, is designed to monitor roof conditions of the end face and timely warn the roof accidents. The field application proves that the system has good practical value, which is of great significance to intelligent prediction of coal mine stope disaster and prevent the end face roof disaster under repeated mining and. This will promote the safe and efficient construction of coal mine production. Published version This study is financially supported by the National Natural Science Foundation of China Regional Fund (No. 52164002), the National Natural Science Foundation of China Regional Fund (No. 52164005), the National Natural Science Foundation of China Regional Fund (No. 52064005), Guizhou Provincial Science and Technology Projects (Qianke Science Support [2021] General 399) and Guizhou University Cultivation Plan ([2020] No.23). 2023-07-10T00:39:21Z 2023-07-10T00:39:21Z 2023 Journal Article Li, F., Kong, D., Li, Q., Shang, Y., Cheng, Z. & He, L. (2023). Failure analysis and prediction of roof instability in end face under repeated mining using early warning system. Scientific Reports, 13(1), 8764-. https://dx.doi.org/10.1038/s41598-023-35685-5 2045-2322 https://hdl.handle.net/10356/169225 10.1038/s41598-023-35685-5 37253756 2-s2.0-85160601331 1 13 8764 en Scientific Reports © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Failure Analysis
Roof
spellingShingle Engineering::Civil engineering
Failure Analysis
Roof
Li, Fei
Kong, Dezhong
Li, Qiang
Shang, Yuqi
Cheng, Zhanbo
He, Liuquan
Failure analysis and prediction of roof instability in end face under repeated mining using early warning system
description The overlying strata of the lower coal seam is easy to be collapsed causing the roof caving accident at the end face of the mining working face under repeated mining in close-distance coal seams. In order to predict the roof instability of the end face, the mechanical model of the granular arch structure is established in this study to further analyze its main influencing factors. The results show that the mining height of the working face, the advancing speed, the distance of coal seams, the tip-to-face distance, the strength of the surrounding rock and the support setting the load of the support are the main influencing factors on the roof caving of the end face. Subsequently, the prediction model of roof instability in the end face under repeated mining is constructed through the radial basis function neural network (RBFNN) and the above main influencing factors are regarded as input layer indexes. Meanwhile, the roof subsidence, coal wall deformation and support load are determined as the output layer indexes. The predicted results are closer to the results of sample tests. Finally, the early warning system, including monitoring and early warning, data query, emergency management, user management, and system settings, is designed to monitor roof conditions of the end face and timely warn the roof accidents. The field application proves that the system has good practical value, which is of great significance to intelligent prediction of coal mine stope disaster and prevent the end face roof disaster under repeated mining and. This will promote the safe and efficient construction of coal mine production.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Li, Fei
Kong, Dezhong
Li, Qiang
Shang, Yuqi
Cheng, Zhanbo
He, Liuquan
format Article
author Li, Fei
Kong, Dezhong
Li, Qiang
Shang, Yuqi
Cheng, Zhanbo
He, Liuquan
author_sort Li, Fei
title Failure analysis and prediction of roof instability in end face under repeated mining using early warning system
title_short Failure analysis and prediction of roof instability in end face under repeated mining using early warning system
title_full Failure analysis and prediction of roof instability in end face under repeated mining using early warning system
title_fullStr Failure analysis and prediction of roof instability in end face under repeated mining using early warning system
title_full_unstemmed Failure analysis and prediction of roof instability in end face under repeated mining using early warning system
title_sort failure analysis and prediction of roof instability in end face under repeated mining using early warning system
publishDate 2023
url https://hdl.handle.net/10356/169225
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