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Volume 37 Issue 6
Dec 2023
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Chinese Journal of High Pressure Physics  > 2023  >  37(6): 065303.
WU Xuyang, LI Hongchao, LIU Xuanze, ZHANG Ji, LIANG Rui, WANG Fuqi. Fuzzy Decision Theory of Rock Mass Explodability and Prediction of Explosive Unit Consumption[J]. Chinese Journal of High Pressure Physics, 2023, 37(6): 065303. doi: 10.11858/gywlxb.20230700
Citation: WU Xuyang, LI Hongchao, LIU Xuanze, ZHANG Ji, LIANG Rui, WANG Fuqi. Fuzzy Decision Theory of Rock Mass Explodability and Prediction of Explosive Unit Consumption[J]. Chinese Journal of High Pressure Physics, 2023, 37(6): 065303. doi: 10.11858/gywlxb.20230700
shu

Fuzzy Decision Theory of Rock Mass Explodability and Prediction of Explosive Unit Consumption

doi: 10.11858/gywlxb.20230700
  • 1.

    School of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming 650093, Yunnan, China

  • 2.

    City College, Kunming University of Science and Technology, Kunming 650051, Yunnan, China

  • 3.

    School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China

  • Received Date: 03 Aug 2023
  • Rev Recd Date: 31 Aug 2023
    • Available Online: 11 Dec 2023
  • Issue Publish Date: 15 Dec 2023
    Abstract
  • In order to promote the further practical application of rock mass explosivity classification in engineering, regression analysis method was used to analyze the correlation of explosivity indicators, and finally determine the four basically unrelated parameters of rock mass tensile strength, density, brittleness index, and integrity coefficient as rating indicators. The sensitivity of each rating index and its weight were determined using orthogonal design experiments. By using the method of fuzzy decision-making, the explosivity of rock mass was rated, and based on the rating index and the basic quality index of rock mass, a formula for predicting the explosive unit consumption of shallow hole blasting in underground mining was derived. The corresponding explosive unit consumption prediction interval for the explosivity level was further derived. This research shows that the fuzzy decision-making method provides a new approach for rock mass explosivity rating, and also proves the correctness of weight allocation and rating index selection. The on-site blasting test has proven the rationality of the predicted range of explosive unit consumption, which can provide certain guiding significance for production blasting and similar engineering practices.

     

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