Prediction of Stope Stability Using Variable Weight and Unascertained Measurement Technique
A new model is established to analyze mining stope stability, using variable weight theory to calculate the index weight for each factor in different stopes and unascertained measure evaluation technique to predict the risk grade of stope stability. In this model, an evaluation index system by virtu...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/8821168 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832550523973140480 |
|---|---|
| author | Qian Kang Yunmin Wang Shuwen Zhang Chengzhi Pu Chuxuan Zhang |
| author_facet | Qian Kang Yunmin Wang Shuwen Zhang Chengzhi Pu Chuxuan Zhang |
| author_sort | Qian Kang |
| collection | DOAJ |
| description | A new model is established to analyze mining stope stability, using variable weight theory to calculate the index weight for each factor in different stopes and unascertained measure evaluation technique to predict the risk grade of stope stability. In this model, an evaluation index system by virtue of the 7 most important factors is established, including rock saturated uniaxial compressive strength, rock quality designation, rock joint and fissure, stope span, condition of pillar, groundwater seepage volume, and rate of supporting pit roof. And each index is divided into 5 grades by assignment value and the classification method of standardization. Accordingly, the analysis result is also classified into 5 risk grades. This model is used for the 6 main stopes from the -270 m section in Xin-Qiao Mine, China. The results, giving risk grade for each stope and guiding the use of corresponding measures, avoided the problem of state out of balance caused by conventional invariable weight theory models and have ensured no accident occurred in mining production in recent years. This model can be used in other mines widely, by assigning values for the 7 factors on basis of current in situ cases. |
| format | Article |
| id | doaj-art-e2923e310e7545a9a35ea340d072cea0 |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-e2923e310e7545a9a35ea340d072cea02025-02-03T06:06:40ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/88211688821168Prediction of Stope Stability Using Variable Weight and Unascertained Measurement TechniqueQian Kang0Yunmin Wang1Shuwen Zhang2Chengzhi Pu3Chuxuan Zhang4School of Resources & Environment and Safety Engineering, University of South China, Hengyang, 421001, ChinaState Key Laboratory of Safety and Health for Metal Mines, Maanshan, 243000, ChinaSchool of Resources & Environment and Safety Engineering, University of South China, Hengyang, 421001, ChinaSchool of Resources & Environment and Safety Engineering, University of South China, Hengyang, 421001, ChinaSchool of Resources & Environment and Safety Engineering, University of South China, Hengyang, 421001, ChinaA new model is established to analyze mining stope stability, using variable weight theory to calculate the index weight for each factor in different stopes and unascertained measure evaluation technique to predict the risk grade of stope stability. In this model, an evaluation index system by virtue of the 7 most important factors is established, including rock saturated uniaxial compressive strength, rock quality designation, rock joint and fissure, stope span, condition of pillar, groundwater seepage volume, and rate of supporting pit roof. And each index is divided into 5 grades by assignment value and the classification method of standardization. Accordingly, the analysis result is also classified into 5 risk grades. This model is used for the 6 main stopes from the -270 m section in Xin-Qiao Mine, China. The results, giving risk grade for each stope and guiding the use of corresponding measures, avoided the problem of state out of balance caused by conventional invariable weight theory models and have ensured no accident occurred in mining production in recent years. This model can be used in other mines widely, by assigning values for the 7 factors on basis of current in situ cases.http://dx.doi.org/10.1155/2021/8821168 |
| spellingShingle | Qian Kang Yunmin Wang Shuwen Zhang Chengzhi Pu Chuxuan Zhang Prediction of Stope Stability Using Variable Weight and Unascertained Measurement Technique Geofluids |
| title | Prediction of Stope Stability Using Variable Weight and Unascertained Measurement Technique |
| title_full | Prediction of Stope Stability Using Variable Weight and Unascertained Measurement Technique |
| title_fullStr | Prediction of Stope Stability Using Variable Weight and Unascertained Measurement Technique |
| title_full_unstemmed | Prediction of Stope Stability Using Variable Weight and Unascertained Measurement Technique |
| title_short | Prediction of Stope Stability Using Variable Weight and Unascertained Measurement Technique |
| title_sort | prediction of stope stability using variable weight and unascertained measurement technique |
| url | http://dx.doi.org/10.1155/2021/8821168 |
| work_keys_str_mv | AT qiankang predictionofstopestabilityusingvariableweightandunascertainedmeasurementtechnique AT yunminwang predictionofstopestabilityusingvariableweightandunascertainedmeasurementtechnique AT shuwenzhang predictionofstopestabilityusingvariableweightandunascertainedmeasurementtechnique AT chengzhipu predictionofstopestabilityusingvariableweightandunascertainedmeasurementtechnique AT chuxuanzhang predictionofstopestabilityusingvariableweightandunascertainedmeasurementtechnique |