Topological study of persistent homology on complicated force chain network evolution in granular media

被引:0
作者
Wang J.-A. [1 ,2 ]
Yang L. [1 ]
Li F. [1 ]
机构
[1] School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing
[2] Key Laboratory of High Efficient Mining and Safety of Metal Mines (Ministry of Education), Beijing
来源
Gongcheng Kexue Xuebao/Chinese Journal of Engineering | 2023年 / 45卷 / 05期
关键词
force chain network; granular media; persistent homology; photoelastic experiment; top-coal caving miming; topology;
D O I
10.13374/j.issn2095-9389.2022.03.09.002
中图分类号
学科分类号
摘要
The force chain network is a crucial basis for characterizing the essential features of granular media microscopic mechanics and for studying the mechanical behavior of their macroscopic structures. Due to the complexity and multiformity of the force chain configuration, the topological data analysis (TDA) method provides a simple, effective, and manageable method to quantitatively describe the force network. Based on the theory of persistent homology in TDA, the analysis method of granules from contact network to force network to topological model is established. The two key factors affecting the structure of a force chain network are its connectivity and closure. β0 reflects the number of particle clusters whose normal force is greater than the provided threshold. β1 reflects the number of holes in the force chain cluster. Persistent homology, a mathematical method to calculate the topological features of structures in metric spaces with different resolutions, is applied to the structural analysis of force chain networks. Different from other methods that separately consider force threshold levels, the evolution of a force chain structure at the force threshold level is helpful in understanding the persistence characteristics of geometric structures at various force levels and describing the force chain network completely and deeply. For example, the top coal and overburden force chain evolution in top-coal caving mining is investigated through photoelastic experiments, and the TDA of the top-coal caving force network chain is performed. The research shows that when the particle stress is obtained as the threshold ε of persistent homology analysis in top-coal caving mining, the Betti number in persistent homology analysis can be used to evaluate periodic weighting. In the overlying strata and front of the working face, the curves of β0 are parabolic, of which the peak values under the periodic weighting are higher than that under the initial condition. Furthermore, the difference between them is that the peak values in the overlying strata are located in the range of strong force chains, whereas those in front of the working face are located in the range of sub-strong force chains. The curves of β1 show L-shaped, suggesting that within [0.3, 1], β1 approaches 0; within [0, 0.2], β1 is approximately inversely proportional to ε; and within [0.3, 1], β1 trends to 0. Topological studies of persistent homology provide an effective method for quantitative analysis of the complicated force chain network evolution and macroscopic mechanical behavior in granular media. © 2023 Science Press. All rights reserved.
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页码:728 / 736
页数:8
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共 25 条
  • [1] Sun Q C, Liu X X, Zhang G H, Et al., The mesoscopic structures of dense granular materials, Adv Mech, 47, 1, (2017)
  • [2] Chen F Z, Yan H., Constitutive model for solid-like, liquid-like, and gas-like phases of granular media and their numerical implementation, Powder Technol, 390, (2021)
  • [3] Zhang J W, Wang J C, Wei W J, Et al., Experimental investigation on the effect of size distribution on the flow characteristics of loose top coal, J China Coal Soc, 44, 4, (2019)
  • [4] Xie G X, Fan H, Wang L., Evolution law and engineering application of surrounding rock force chain in shallow coal seam working face, J China Coal Soc, 44, 10, (2019)
  • [5] Han L, Shu J S, Shang T, Et al., Experiment study on the physical and mechanical parameters of soft rock remolding in waste dump, J Min Saf Eng, 36, 4, (2019)
  • [6] Wang J, Yang L, Li F, Et al., Force chains in top coal caving mining, Int J Rock Mech Min Sci, 127, (2020)
  • [7] Tordesillas A, Walker D M, Lin Q., Force cycles and force chains, Phys Rev E Stat Nonlinear Soft Matter Phys, 81, 1, (2010)
  • [8] Chen Q F, Liu E J, Qin S K., Quantitative study on evolution characteristics of force chain of granular materials in ore drawing from multiple funnels process, J Central South Univ (Sci Technol), 52, 11, (2021)
  • [9] Li L C, Marteau E, Andrade J E., Capturing the inter-particle force distribution in granular material using LS-DEM, Granul Matter, 21, 3, (2019)
  • [10] Majmudar T S, Behringer R P., Contact force measurements and stress-induced anisotropy in granular materials, Nature, 435, 7045, (2005)