Evaluation of Slope Stability within the Influence of Mining Based on Combined Weighting and Finite Cloud Model
Coal mining under slopes often leads to slope instability, resulting in substantial economic losses and human casualties. Therefore, constructing a scientific and practical slope stability evaluation model for slope disaster prevention and control is of great significance. In this study, seven evalu...
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Published in | Energy exploration & exploitation Vol. 41; no. 2; pp. 636 - 655 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publications
01.03.2023
Sage Publications Ltd SAGE Publishing |
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ISSN | 0144-5987 2048-4054 |
DOI | 10.1177/01445987221134638 |
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Abstract | Coal mining under slopes often leads to slope instability, resulting in substantial economic losses and human casualties. Therefore, constructing a scientific and practical slope stability evaluation model for slope disaster prevention and control is of great significance. In this study, seven evaluation indexes were selected, and their influence mechanisms were analyzed to establish a system of evaluation indexes for the stability of mining slopes in Xing County, Shanxi Province, China. A new evaluation model for the stability of mining slopes was established based on the interval analytic hierarchy process (IAHP) to determine the subjective weights of the indexes and the improved CRITIC method to determine the objective weights of the indexes, which circumvented the limitations of subjective or objective weights by combining the minimum discriminating information. The model was applied to the mining slopes in Xing County, Shanxi Province, and the results showed that slopes A, C, D and E were in an unstable state, slope B was in an understable state after mining. Finally, the accuracy of the evaluation results was verified through field surveys. The model has engineering application value in predicting the stability of mining slopes and can provide theoretical suggestions for later slope management to ensure the safe production of coal mines. |
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AbstractList | Coal mining under slopes often leads to slope instability, resulting in substantial economic losses and human casualties. Therefore, constructing a scientific and practical slope stability evaluation model for slope disaster prevention and control is of great significance. In this study, seven evaluation indexes were selected, and their influence mechanisms were analyzed to establish a system of evaluation indexes for the stability of mining slopes in Xing County, Shanxi Province, China. A new evaluation model for the stability of mining slopes was established based on the interval analytic hierarchy process (IAHP) to determine the subjective weights of the indexes and the improved CRITIC method to determine the objective weights of the indexes, which circumvented the limitations of subjective or objective weights by combining the minimum discriminating information. The model was applied to the mining slopes in Xing County, Shanxi Province, and the results showed that slopes A, C, D and E were in an unstable state, slope B was in an understable state after mining. Finally, the accuracy of the evaluation results was verified through field surveys. The model has engineering application value in predicting the stability of mining slopes and can provide theoretical suggestions for later slope management to ensure the safe production of coal mines. |
Author | Chen, Hongkai Guo, Qingbiao Wang, Liang Meng, Xiangrui |
Author_xml | – sequence: 1 givenname: Hongkai surname: Chen fullname: Chen, Hongkai – sequence: 2 givenname: Qingbiao orcidid: 0000-0003-3108-6575 surname: Guo fullname: Guo, Qingbiao email: qbguoaust@163.com – sequence: 3 givenname: Liang surname: Wang fullname: Wang, Liang – sequence: 4 givenname: Xiangrui surname: Meng fullname: Meng, Xiangrui |
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CitedBy_id | crossref_primary_10_3390_app14146141 crossref_primary_10_1177_1748006X241279924 crossref_primary_10_1093_jge_gxae116 crossref_primary_10_1016_j_engappai_2024_109645 crossref_primary_10_3390_electronics12214460 crossref_primary_10_3390_math12081213 crossref_primary_10_3389_feart_2023_1196677 crossref_primary_10_1038_s41598_023_39377_y crossref_primary_10_3390_su16198576 |
Cites_doi | 10.1016/j.ejor.2012.01.010 10.1007/s10064-022-02706-y 10.1504/IJEP.2016.079909 10.1007/s10064-019-01565-4 10.1007/s11069-015-2123-x 10.1016/j.enggeo.2016.12.021 10.1007/s10346-010-0237-5 10.1007/s11069-022-05476-8 10.1007/s00603-013-0507-3 10.1016/j.tust.2020.103743 10.1371/journal.pone.0210021 10.3390/app10061952 10.1007/s10346-018-1084-z 10.1007/s12205-020-2117-4 |
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Keywords | interval hierarchy analysis process mining landslides slope stability evaluation mining subsidence finite interval cloud model |
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SubjectTerms | Analytic hierarchy process Casualties Coal mines Coal mining Economic impact Emergency preparedness Evaluation Mining Slope stability Stability analysis |
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Title | Evaluation of Slope Stability within the Influence of Mining Based on Combined Weighting and Finite Cloud Model |
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