Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method
Coal mining activities have intensified, and underground mining depths have increased, posing significant challenges for mitigating rock burst hazard. To address this issue, this paper proposes an improved comprehensive weighting prediction (CF-TOPSIS) method that predicts weight and grade indices f...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2023-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2023/5546795 |
| _version_ | 1797792135885357056 |
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| author | Feng Zhu Haowei Song Bingxiang Huang Binxin Hu Siqi Li Guangdong Song Hua Zhang Tongyu Liu Fuwu Ma |
| author_facet | Feng Zhu Haowei Song Bingxiang Huang Binxin Hu Siqi Li Guangdong Song Hua Zhang Tongyu Liu Fuwu Ma |
| author_sort | Feng Zhu |
| collection | DOAJ |
| description | Coal mining activities have intensified, and underground mining depths have increased, posing significant challenges for mitigating rock burst hazard. To address this issue, this paper proposes an improved comprehensive weighting prediction (CF-TOPSIS) method that predicts weight and grade indices for rock burst evaluation. The study introduces a novel variable coefficient method to optimize the conflict response problem and employs correlation forward and other techniques to minimize errors caused by large data differences. Based on these, the CRITIC objective weight algorithm model is established, and FAHP is used to optimize weighting factors to make the index weight of rock burst more reasonable, thus enhancing the accuracy of hazard assessment for working faces. Results from engineering examples show that the prediction results combined with field drill cutting methods and microseismic monitoring data verify the accuracy of the proposed method, indicating its feasibility and effectiveness in predicting rock burst hazard in underground coal mines. |
| first_indexed | 2024-03-13T02:28:48Z |
| format | Article |
| id | doaj.art-147d6303df7f45a0b8df4f36db0ba672 |
| institution | Directory Open Access Journal |
| issn | 1875-9203 |
| language | English |
| last_indexed | 2024-03-13T02:28:48Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj.art-147d6303df7f45a0b8df4f36db0ba6722023-06-30T00:00:02ZengHindawi LimitedShock and Vibration1875-92032023-01-01202310.1155/2023/5546795Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS MethodFeng Zhu0Haowei Song1Bingxiang Huang2Binxin Hu3Siqi Li4Guangdong Song5Hua Zhang6Tongyu Liu7Fuwu Ma8Laser Research InstituteLaser Research InstituteState Key Laboratory of Coal Resources and Safe MiningLaser Research InstituteShanxi Lu’an Environmental Protection Energy Development Co., Ltd.Laser Research InstituteLaser Research InstituteLaser Research InstituteEngineering Laboratory of Deep Mine Rock Burst Disaster AssessmentCoal mining activities have intensified, and underground mining depths have increased, posing significant challenges for mitigating rock burst hazard. To address this issue, this paper proposes an improved comprehensive weighting prediction (CF-TOPSIS) method that predicts weight and grade indices for rock burst evaluation. The study introduces a novel variable coefficient method to optimize the conflict response problem and employs correlation forward and other techniques to minimize errors caused by large data differences. Based on these, the CRITIC objective weight algorithm model is established, and FAHP is used to optimize weighting factors to make the index weight of rock burst more reasonable, thus enhancing the accuracy of hazard assessment for working faces. Results from engineering examples show that the prediction results combined with field drill cutting methods and microseismic monitoring data verify the accuracy of the proposed method, indicating its feasibility and effectiveness in predicting rock burst hazard in underground coal mines.http://dx.doi.org/10.1155/2023/5546795 |
| spellingShingle | Feng Zhu Haowei Song Bingxiang Huang Binxin Hu Siqi Li Guangdong Song Hua Zhang Tongyu Liu Fuwu Ma Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method Shock and Vibration |
| title | Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method |
| title_full | Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method |
| title_fullStr | Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method |
| title_full_unstemmed | Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method |
| title_short | Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method |
| title_sort | research and application of rock burst hazard assessment of the working face based on the cf topsis method |
| url | http://dx.doi.org/10.1155/2023/5546795 |
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