Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy Theory
For the mine of large goaf, there are many factors that affect the filling quality. In order to improve the filling quality, it is necessary to identify the factors that have a significant impact. In this paper, the fuzzy mathematical method was used to analyze the five main factors (PC32.5cement sa...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/9/5235 |
| _version_ | 1797603067953152000 |
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| author | Daiqiang Deng Guodong Cao Yihua Liang Jinkuan Fan Runze Wang Yunfan Ma |
| author_facet | Daiqiang Deng Guodong Cao Yihua Liang Jinkuan Fan Runze Wang Yunfan Ma |
| author_sort | Daiqiang Deng |
| collection | DOAJ |
| description | For the mine of large goaf, there are many factors that affect the filling quality. In order to improve the filling quality, it is necessary to identify the factors that have a significant impact. In this paper, the fuzzy mathematical method was used to analyze the five main factors (PC32.5cement sand ratio, slurry concentration, number of slurry lowering, dehydration and drainage, and tailing particle size grading) affecting the filling quality. The priority of each influence factor was calculated, and the priority set was established. It is found that the slurry launching point and particle size grading of the tailings have an obvious effect on filling quality. After increasing the slurry launching point and optimizing the particle size grading, the strength and uniformity of the filling body are improved. |
| first_indexed | 2024-03-11T04:25:09Z |
| format | Article |
| id | doaj.art-71a419f8fad3489692cb8ed216d07e97 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T04:25:09Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-71a419f8fad3489692cb8ed216d07e972023-11-17T22:31:13ZengMDPI AGApplied Sciences2076-34172023-04-01139523510.3390/app13095235Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy TheoryDaiqiang Deng0Guodong Cao1Yihua Liang2Jinkuan Fan3Runze Wang4Yunfan Ma5College of Civil Engineering, Xiangtan University, Xiangtan 411105, ChinaCollege of Civil Engineering, Xiangtan University, Xiangtan 411105, ChinaIndustrial Development Research Center of Guizhou, Guizhou Institute of Technology, Guiyang 550003, ChinaCollege of Civil Engineering, Xiangtan University, Xiangtan 411105, ChinaCollege of Civil Engineering, Xiangtan University, Xiangtan 411105, ChinaCollege of Civil Engineering, Xiangtan University, Xiangtan 411105, ChinaFor the mine of large goaf, there are many factors that affect the filling quality. In order to improve the filling quality, it is necessary to identify the factors that have a significant impact. In this paper, the fuzzy mathematical method was used to analyze the five main factors (PC32.5cement sand ratio, slurry concentration, number of slurry lowering, dehydration and drainage, and tailing particle size grading) affecting the filling quality. The priority of each influence factor was calculated, and the priority set was established. It is found that the slurry launching point and particle size grading of the tailings have an obvious effect on filling quality. After increasing the slurry launching point and optimizing the particle size grading, the strength and uniformity of the filling body are improved.https://www.mdpi.com/2076-3417/13/9/5235fuzzy mathoversize goafbackfillhazardous waste treatmentmembership matrixevaluation factor |
| spellingShingle | Daiqiang Deng Guodong Cao Yihua Liang Jinkuan Fan Runze Wang Yunfan Ma Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy Theory Applied Sciences fuzzy math oversize goaf backfill hazardous waste treatment membership matrix evaluation factor |
| title | Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy Theory |
| title_full | Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy Theory |
| title_fullStr | Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy Theory |
| title_full_unstemmed | Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy Theory |
| title_short | Analysis and Improvement of Oversize Goaf Backfill Engineering Based on Fuzzy Theory |
| title_sort | analysis and improvement of oversize goaf backfill engineering based on fuzzy theory |
| topic | fuzzy math oversize goaf backfill hazardous waste treatment membership matrix evaluation factor |
| url | https://www.mdpi.com/2076-3417/13/9/5235 |
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