Calibration method for microscopic parameters in particle flow code models for rock-like materials: semi-analytical lookup table approach

MIAO Luli; LIU Xinrong; FU Yan; ZHOU Xiaohan; GUO Xueyan

doi:10.11779/CJGE20231229

Volume 47 Issue 6

Turn off MathJax

Article Contents

Abstract

References

Supplements

Chinese Journal of Geotechnical Engineering > 2025 > 47(6): 1259-1269. > DOI: 10.11779/CJGE20231229

MIAO Luli, LIU Xinrong, FU Yan, ZHOU Xiaohan, GUO Xueyan. Calibration method for microscopic parameters in particle flow code models for rock-like materials: semi-analytical lookup table approach[J]. Chinese Journal of Geotechnical Engineering, 2025, 47(6): 1259-1269. DOI: 10.11779/CJGE20231229

Citation:

PDF (14323 KB)

Calibration method for microscopic parameters in particle flow code models for rock-like materials: semi-analytical lookup table approach

MIAO Luli^{1, 2, 3,},
LIU Xinrong^{1, 2, 3},
FU Yan⁴,
ZHOU Xiaohan^{1, 2, 3},
GUO Xueyan^{1, 2, 3}

1.
School of Civil Engineering, Chongqing University, Chongqing 400045, China
2.
National Joint Engineering Research Center for Prevention and Control of Environmental Geological Hazards in the TGR Area, Chongqing 400045, China
3.
Key Laboratory of New Technology for Construction of Cities in Mountain Area (Chongqing University), Ministry of Education, Chongqing 400045, China
4.
School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China

More Information

Received Date: December 14, 2023
Available Online: December 05, 2024

Graphical Abstract

Abstract

Abstract

The calibration method for microscopic parameters in particle flow code (PFC) models of rock materials is investigated based on the contact bond model. Firstly, theoretical deductions of the selected representative unit are made, and the fitting coefficients in the theoretical relationship are obatined through extensive numerical simulations. Finally, the semi-analytic lookup table (SLT) method is established. The researches show that the ratio of contact bond strength has a significant impact on the micro-failure mode of numerical specimens. The representative unit has the same macro-microscopic parameter variation law as the actual PFC models, and the theoretical values of each coefficient are generally consistent with the fitted values. The uniaxial compressive strength and cohesion are linearly correlated with the smaller value between the two contact bond strengths. The calibration of microscopic parameters has a clear sequence. Lastly, the calibration of microscopic parameters for sandstone confirms that the SLT method can achieve a rapid parameter calibration.
- particle flow code,
- microscopic parameter,
- calibration method,
- rock-like material,
- CBM

FullText(HTML)

References (11)

References

[1]	HUANG H. Discrete Element Modeling of Tool-Rock Interaction[D]. Minnesota: University of Minnesota, 1999.
[2]	YANG B D, JIAO Y, LEI S T. A study on the effects of microparameters on macroproperties for specimens created by bonded particles[J]. Engineering Computations, 2006, 23(6): 607-631. doi: 10.1108/02644400610680333
[3]	丛宇, 王在泉, 郑颖人, 等. 基于颗粒流原理的岩石类材料细观参数的试验研究[J]. 岩土工程学报, 2015(6): 1031-1040. doi: 10.11779/CJGE201506009 CONG Yu, WANG Zaiquan, ZHENG Yingren, et al. Experimental study on microscopic parameters of brittle materials based on particle flow theory[J]. Chinese Journal of Geotechnical Engineering, 2015(6): 1031-1040. (in Chinese) doi: 10.11779/CJGE201506009
[4]	刘新荣, 傅晏, 郑颖人, 等. 颗粒流细观强度参数与岩石断裂韧度之间的关系[J]. 岩石力学与工程学报, 2011, 30(10): 2084-2089. LIU Xinrong, FU Yan, ZHENG Yingren, et al. Relation between meso-parameters of particle flow code and fracture toughness of rock[J]. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(10): 2084-2089. (in Chinese)
[5]	陈亚东, 于艳, 佘跃心. PFC^(3D)模型中砂土细观参数的确定方法[J]. 岩土工程学报, 2013, 35(增刊2): 88-93. https://cge.nhri.cn/article/id/15363 CHEN Yadong, YU Yan, SHE Yuexin. Method for determining mesoscopic parameters of sand in three-dimensional particle flow code numerical modeling[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(S2): 88-93. (in Chinese) https://cge.nhri.cn/article/id/15363
[6]	YOON J. Application of experimental design and optimization to PFC model calibration in uniaxial compression simulation[J]. International Journal of Rock Mechanics and Mining Sciences, 2007, 44(6): 871-889. doi: 10.1016/j.ijrmms.2007.01.004
[7]	WANG M, LU Z X, WAN W, et al. A calibration framework for the microparameters of the DEM model using the improved PSO algorithm[J]. Advanced Powder Technology, 2021, 32(2): 358-369. doi: 10.1016/j.apt.2020.12.015
[8]	WANG M, LU Z X, ZHAO Y L, et al. Calibrating microparameters of DEM models by using CEM, DE, EFO, MFO, SSO algorithms and the optimal hyperparameters[J]. Computational Particle Mechanics, 2024, 11(2): 839-852. doi: 10.1007/s40571-023-00656-0
[9]	石崇, 徐卫亚. 颗粒流数值模拟技巧与实践[M]. 北京: 中国建筑工业出版社, 2015. SHI Chong, XU Weiya. Numerical Simulation Skills and Practice of Particle Flow[M]. Beijing: China Architecture & Building Press, 2015. (in Chinese)
[10]	MIAO L L, LIU X R, FU Y. Approach for determining micro-strength parameters of rock based on particle flow code[J]. Scientific Reports, 2024, 14(1): 11230. doi: 10.1038/s41598-024-61410-x
[11]	傅晏. 干湿循环水岩相互作用下岩石劣化机理研究[D]. 重庆: 重庆大学, 2010. FU Yan. Study on the Mechanism of Rock Deterioration under the Interaction of Dry-Wet Circulating Water and Rock[D]. Chongqing: Chongqing University, 2010. (in Chinese)