Scholarlink

<p>Joints markedly influence rock blasting outcomes, but quantitative research on the blasting behavior of rock masses containing random joints is still scarce. This study uses the discrete element method to construct double-hole blasting models of intact rock and five levels of random joint density. It then systematically investigates how joint density and in-situ stress affect crack propagation, fractal crack characteristics, fragment-size distribution, and energy evolution. The study innovatively applies FISH programming to develop particle-cluster recognition and size-statistics algorithms, allowing quantitative analysis of post-blast fragment distributions. Results show that joint density significantly influences both the number and spatial distribution of cracks, with the crack count in jointed models reduced by up to 20.75% relative to intact rock, and the corresponding fractal dimension decreasing from 1.452 to 1.377. Peak stresses display a “high at both ends, low in the middle” distribution horizontally and a “low at both ends, high in the middle” distribution vertically, Strain energy decreases by up to 44.64% with increasing joint density, whereas kinetic and friction energies remain largely unaffected. Incorporating jointed rock models into roadway cut blasting simulations notably improves fragment size distribution, with the proportion of fragments smaller than 50 cm increasing from 37 to 81%. This work offers a reliable numerical approach and practical guidance for designing jointed rock blasting, optimizing cutting parameters, and supporting engineering applications.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Damage Development in Double Hole Blasting of Randomly Jointed Rock Masses Based on Discrete Element Modelling

  • 期刊论文

  • 发表日期：

    2025年12月19日

查看全文
  • Haoshan Liu,
  • Jianguo Wang,
  • Yongkang Song,
  • Zhiyu Zhang,
  • Yonghui Huang

摘要

Joints markedly influence rock blasting outcomes, but quantitative research on the blasting behavior of rock masses containing random joints is still scarce. This study uses the discrete element method to construct double-hole blasting models of intact rock and five levels of random joint density. It then systematically investigates how joint density and in-situ stress affect crack propagation, fractal crack characteristics, fragment-size distribution, and energy evolution. The study innovatively applies FISH programming to develop particle-cluster recognition and size-statistics algorithms, allowing quantitative analysis of post-blast fragment distributions. Results show that joint density significantly influences both the number and spatial distribution of cracks, with the crack count in jointed models reduced by up to 20.75% relative to intact rock, and the corresponding fractal dimension decreasing from 1.452 to 1.377. Peak stresses display a “high at both ends, low in the middle” distribution horizontally and a “low at both ends, high in the middle” distribution vertically, Strain energy decreases by up to 44.64% with increasing joint density, whereas kinetic and friction energies remain largely unaffected. Incorporating jointed rock models into roadway cut blasting simulations notably improves fragment size distribution, with the proportion of fragments smaller than 50 cm increasing from 37 to 81%. This work offers a reliable numerical approach and practical guidance for designing jointed rock blasting, optimizing cutting parameters, and supporting engineering applications.