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      Research of the Backfill Body Compaction Ratio Based on Upward Backfill Safety Mining of the Close-Distance Coal Seam Group

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      Geofluids
      Hindawi Limited

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          Abstract

          During upward backfill mining of the close-distance coal seam group, the reasonable design of the backfill body compaction ratio (BBCR) of lower coal seam goaf plays a key role in controlling overburden strata movement and deformation. In this paper, the feasibility discrimination method of upward caving mining was adopted; it was found that when the coal seam spacing was small, the recovery was not possible due to the instability of the upper coal strata equilibrium structure caused by the mining. Hence, the upward backfill mining method was proposed; combined with the migration control mechanism of backfill mining overburden strata, the dynamic evolution of crack propagation height of overburden strata during upward backfill mining was analyzed. Based on that, a layer spacing-BBCR-mining height (L-R-H) prediction model based on multiple linear regression analysis was established and the BBCR of close-distance coal seam group safe upward mining was determined combined with the engineering background. The results demonstrate that the main controlling factors of crack propagation in overburden strata during upward backfill mining were BBCR and mining height; the crack propagation height in overburden strata caused by mining decreased exponentially with the increase of BBCR and increased with the increase of mining height linearly. The lower coal seam engineering safety BBCR of upward backfill mining in the Dafosi Coal Mine was 87.2%, and the close-distance coal seam group safe upward mining was realized.

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          Most cited references25

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          The application of short-wall block backfill mining to preserve surface water resources in northwest China

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            Tomography of the dynamic stress coefficient for stress wave prediction in sedimentary rock layer under the mining additional stress

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              A risk prediction model based on machine learning for postoperative cognitive dysfunction in elderly patients with non-cardiac surgery

              Early identification of elderly patients undergoing non-cardiac surgery who may be at high risk for postoperative cognitive dysfunction (POCD) can increase the chances of prevention for them, as extra attention and limited resources can be allocated more to these patients.
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                Author and article information

                Contributors
                Journal
                Geofluids
                Geofluids
                Hindawi Limited
                1468-8123
                1468-8115
                March 7 2022
                March 7 2022
                : 2022
                : 1-11
                Affiliations
                [1 ]School of Energy Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, China
                [2 ]Key Laboratory of Western Mines and Hazard Prevention, The Ministry of Education, Xi’an University of Science & Technology, Xi’an, Shaanxi 710054, China
                Article
                10.1155/2022/8418218
                cc628ecc-a0db-4c0c-b7ef-409a1303132e
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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