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Research on Strength Characteristics and Prediction of Ultra-Fine Unclassified Tailings Fiber-Filled Backfill in a Gold Mine
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Faping Zheng1, Zonghong Zhou2, Huiwen Mu2, Jian Liu2, Tingkai Hou2
Mining Research and Development | 2026, 46(8) : 96 - 104
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Mining Research and Development | 2026, 46(8): 96-104
Research on Strength Characteristics and Prediction of Ultra-Fine Unclassified Tailings Fiber-Filled Backfill in a Gold Mine
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Faping Zheng1, Zonghong Zhou2, Huiwen Mu2, Jian Liu2, Tingkai Hou2
Affiliations
  • 1.Faculty of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming, Yunnan 654093, China
  • 2.Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 654093, China
Published: 2026-08-25
Outline
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In a gold mine, the uniaxial compressive strength of ultra-fine unclassified tailings backfill cannot satisfy the requirements of stope filling. To improve the backfill strength, steel fibers, polypropylene fibers and steel-polypropylene hybrid fibers were adopted as reinforcement materials for backfill, and the effects of fiber type, fiber dosage and curing age on the backfill strength were systematically analyzed. Based on the test data, a prediction model for backfill strength integrating Gaussian Process Regression (GPR) and Shapley Additive Explanations (SHAP) was proposed. The research results show that both steel fibers and polypropylene fibers can effectively enhance the backfill strength. Compared with the fiber-free blank control group, all fiber systems achieve the optimal strength enhancement at a fiber dosage of 0.3%. A typical nonlinear relationship of "promotion at low dosage and inhibition at high dosage" exists between fiber dosage and backfill strength. In addition, the established strength prediction model exhibits excellent prediction performance, and the average relative error of strength prediction is controlled within 10%. The SHAP analysis can accurately quantify the influence degree of fiber type, fiber dosage and curing age to backfill strength. The research results provide a quantitative basis for the mix proportion design of fiber-modified backfill and help promote the intelligent development of mine backfilling engineering.

Ultra-fine unclassified tailings  /  Fiber reinforcement  /  Strength characteristic  /  Gaussian Process Regression  /  SHAP interpretation model
郑发萍, 周宗红, 慕慧文, 刘剑, 侯廷凯. 某金矿超细全尾砂纤维充填体强度特征及预测研究. 矿业研究与开发, 2026 , 46 (8) : 96 -104 .
Faping Zheng, Zonghong Zhou, Huiwen Mu, Jian Liu, Tingkai Hou. Research on Strength Characteristics and Prediction of Ultra-Fine Unclassified Tailings Fiber-Filled Backfill in a Gold Mine[J]. Mining Research and Development, 2026 , 46 (8) : 96 -104 .
Year 2026 volume 46 Issue 8
33
10
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  • Receive Date:2025-07-21
  • Online Date:2026-10-27
  • Published:2026-08-25
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  • Received:2025-07-21
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Affiliations
    1.Faculty of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming, Yunnan 654093, China
    2.Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 654093, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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