基于 PFC2D 的土石混合体直剪试验模拟
Simulation of Direct Shear Test of Soil-Rock Mixture Based on PFC2D
为了建立不同含石量土石混合体细观参数的高效标定方法,提升直剪试验离散元模拟的准确性,基于 PFC2D 程序,结合 Python 编程实现蒙特卡洛随机块石生成,构建了土石混合体数值试样。 采用 cluster 颗粒集合体模拟不规则块石,系统开展了块石与土体细观参数的标定研究,提出了基于单轴拉伸、单轴压缩、双轴压缩与直剪试验的细观参数分级标定流程,探究了含石量对土石混合体抗剪强度特性的影响。 结果表明,随着含石量的增大,土石混合体的黏聚力先增大后减小,在含石量为 60%时达到峰值;内摩擦角则持续上升。 研究明确了接触模型中关键细观参数对宏观力学行为的影响规律,模拟得到的内摩擦角、黏聚力与现场原位试验结果十分接近。
In order to establish an efficient calibration method for the microscopic parameters of soil-rock mixtures with different rock contents and improve the accuracy of the discrete element simulation of direct shear tests, numerical model samples of soil-rock mixtures were constructed based on the particle flow code in 2 dimensions (PFC2D) and Python programming to realize Monte Carlo random generation of rock blocks. A cluster particle aggregate was used to simulate irregular rock blocks, and a systematic study was conducted on the calibration of microscopic parameters between rock blocks and soil particles. A microscopic parameter grading calibration process based on uniaxial tension, uniaxial compression, biaxial compression, and direct shear tests was proposed. The influence of rock content on the shear strength characteristics of soil-rock mixtures was investigated. The results show that with increasing rock content, the cohesion of the soil-rock mixture initially rises and subsequently declines, peaking at 60% rock content, while the internal friction angle increases monotonically. The study has clarified the influence of key microscopic parameters in the contact model on macroscopic mechanical behavior, and the simulated internal friction angles and cohesion values are very close to the results of in-situ tests.
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国家自然科学基金青年基金资助项目(52109122)
中央高校基本科研业务费专项资金资助(B240201050)
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