当前位置: X-MOL 学术Eng. Anal. Bound. Elem. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Rockburst proneness analysis of rock materials based on the discrete element method
Engineering Analysis With Boundary Elements ( IF 4.2 ) Pub Date : 2024-11-22 , DOI: 10.1016/j.enganabound.2024.106047
Yunhe Ao, Baoxin Jia, Chuang Sun, Dongxu Chen, Yunbo Pu

To explore the rockburst proneness of rock materials, coarse-grained granite, red sandstone and white marble were selected for uniaxial compression laboratory tests. Applying the rockburst proneness criterion based on the peak strength strain storage index, numerical models of the three rocks were constructed according to the three-dimensional Clump (3D-Clump) modelling method using the three-dimensional Particle Flow Code (PFC3D) in the Discrete Element Method (DEM). Numerical simulations of conventional uniaxial compression (UC) and single cyclic loading-unloading uniaxial compression (SCLUC) tests were carried out to estimate the rockburst proneness of the three rocks. The results show that the 3D-Clump model can match different types of rock materials by setting the proper clump radius and meso parameters. The stress-strain curves in the UC numerical simulation tests of the three rocks are very similar to those of laboratory tests. In the SCLUC numerical simulation tests, the peak strengths of the three rocks at different unloading stress levels k do not differ by more than 5 % from that of the conventional UC tests. Based on the rockburst proneness criterion of the peak strength strain storage index, combined with the final fracture modes in the SCLUC tests, it is concluded that coarse-grained granite has high rockburst proneness, and red sandstone and white marble have low rockburst proneness.

中文翻译:


基于离散元法的岩石材料岩爆易蚀性分析



为探究岩石材料对岩爆的易发性,选取粗粒花岗岩、红砂岩和白色大理石进行单轴压缩室内试验。应用基于峰值强度应变存储指数的岩爆倾向准则,采用离散元法 (DEM) 中的三维粒子流代码 (PFC3D) 根据三维团块 (3D-Clump) 建模方法构建了 3 种岩石的数值模型。进行了常规单轴压缩 (UC) 和单循环加载-卸载单轴压缩 (SCLUC) 试验的数值模拟,以估计 3 种岩石的岩爆易发性。结果表明,3D-Clump 模型可以通过设置适当的团块半径和细观参数来匹配不同类型的岩石材料。这三种岩石的 UC 数值模拟测试中的应力-应变曲线与实验室测试的应力-应变曲线非常相似。在 SCLUC 数值模拟测试中,三种岩石在不同卸载应力水平 k 下的峰值强度与传统 UC 测试的峰值强度相差不超过 5%。根据峰值强度应变存储指数的岩爆易发生性准则,结合SCLUC试验中的最终断裂模式,得出粗粒花岗岩具有较高的岩爆倾向性,红砂岩和白色大理石具有较低的岩爆倾向。
更新日期:2024-11-22
down
wechat
bug