Calibration of micro-scaled mechanical parameters of granite based on a bonded-particle model with 2D particle flow code

Shi Chong; Yang Wenkun; Yang Junxiong; Chen Xiao

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Calibration of micro-scaled mechanical parameters of granite based on a bonded-particle model with 2D particle flow code

机译：基于2D粒子流量码的粘合粒子模型校准花岗岩微调机械参数

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摘要

From a microscopic perspective, the mechanical behavior of rocks can be well simulated by particle discrete element method. However, the ideal mechanical properties under macroscopic compression and tension conditions of the granular system require not only reasonable micro-parameters but also consider the mineral distribution in rock microstructure. In this study, the internal microstructure of granite was characterized based on digital images. The cellular automata method was used to construct a discrete element model of clustered particles, and a rapid and effective calibration method for rock microscopic parameters was established. Numerical results significantly relate with laboratory test results, and the microscopic mechanical parameters of the rock were rapidly predicted. Clustered discrete element model simulated the macroscopic mechanical behavior of the investigated rock by considering microscopic rock structure while ignoring particle shape. Results showed that bond strength ratio of the filler-matrix in the numerical sample can significantly affect the compressive-tensile strength ratio. Further, the internal mineral proportion and degree of mineral contact damage strongly influenced the macroscopic mechanical behavior of the investigated rock. Results of this study can provide basis for the construction of micro-scaled model and calibration of microscopic parameters for investigation of rock mechanical behavior.

机译：从微观的角度来看，通过颗粒离散元件方法可以很好地模拟岩石的机械行为。然而，粒状系统的宏观压缩下的理想机械性能不仅需要合理的微观参数，而且需要考虑岩石微观结构中的矿物分布。在该研究中，基于数字图像的花岗岩内部微观结构。蜂窝自动机方法用于构建集群颗粒的离散元件模型，建立了岩石微观参数的快速有效的校准方法。数值结果与实验室测试结果显着相关，迅速预测岩石的微观机械参数。聚集的离散元件模型通过考虑微观岩石结构而忽略颗粒形状的微观岩石结构模拟了研究的岩石的宏观力学行为。结果表明，数值样品中填料基质的粘合强度比可以显着影响压缩拉伸强度比。此外，内部矿物比例和矿物接触损伤的程度强烈影响了研究岩石的宏观力学行为。本研究的结果可以为岩石力学行为进行微观尺度模型和微观参数的校准提供依据。

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来源
《Granular matter》 |2019年第2期|38.1-38.13|共13页
作者
Shi Chong; Yang Wenkun; Yang Junxiong; Chen Xiao;
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作者单位

Hohai Univ Key Lab Minist Educ Geomech & Embankment Engn Nanjing 210098 Jiangsu Peoples R China|Hohai Univ Inst Geotech Res Nanjing 210098 Jiangsu Peoples R China;

Hohai Univ Key Lab Minist Educ Geomech & Embankment Engn Nanjing 210098 Jiangsu Peoples R China|Hohai Univ Inst Geotech Res Nanjing 210098 Jiangsu Peoples R China;

Hohai Univ Key Lab Minist Educ Geomech & Embankment Engn Nanjing 210098 Jiangsu Peoples R China|Hohai Univ Inst Geotech Res Nanjing 210098 Jiangsu Peoples R China;

Hohai Univ Key Lab Minist Educ Geomech & Embankment Engn Nanjing 210098 Jiangsu Peoples R China|Hohai Univ Inst Geotech Res Nanjing 210098 Jiangsu Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Microscopic structure; Particle flow code; Discrete element method; Compressive-tensile strength ratio;

机译：微观结构;粒子流量代码;离散元件方法;压缩 - 拉伸强度比;

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专利

1. Calibration of micro-scaled mechanical parameters of granite based on a bonded-particle model with 2D particle flow code [J] . Shi Chong, Yang Wenkun, Yang Junxiong, Granular matter . 2019,第2期

机译：基于带有二维颗粒流代码的键合颗粒模型的花岗岩微尺度力学参数校准
2. Mechanical behaviour of Lac du Bonnet granite after high-temperature treatment using bonded-particle model and moment tensor [J] . Sun Wei, Wu Shunchuan, Xu Xueliang Computers and Geotechnics . 2021,第Jula期

机译：Lac Du Bonnet花岗岩使用粘合粒子模型及力矩张量后高温处理后的力学行为
3. Non-Equilibrium Flow Type Behaviour In Presence Of Transonic Free Streams Probably Caused By Turbulence Modeling Limitations For Base Flow Computations Using N-S Code, As Well As BASE2D Codes. [J] . A.P. Roychowdhury Indian Journal of Computer Science and Engineering . 2012,第5期

机译：使用N-S代码和BASE2D代码进行的基本流量计算的湍流建模限制可能导致的跨音速自由流存在时的非平衡流动类型行为。
4. Micro-Strength Analysis of Sand Mold for Casting Based on Bonded-Particle Model [C] . ZHU Fu-xian, SHAN Zhong-de, LIU Fen International Conference on Material Science and Engineering . 2017

机译：基于粘合粒子模型的铸造砂模的微强度分析
5. Bonded-particle modeling of thermally induced damage in rock. [D] . Wanne, Toivo. 2009

机译：岩石中热致损伤的键合颗粒模型。
6. Calibration and Verification of Dynamic Particle Flow Parameters by the Back-Propagation Neural Network Based on the Genetic Algorithm: Recycled Polyurethane Powder [O] . Ping He, Yiwei Fan, Banglong Pan, 2019

机译：基于遗传算法：再生聚氨酯粉末的反向传播神经网络对动态颗粒流参数的标定和验证
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Calibration of micro-scaled mechanical parameters of granite based on a bonded-particle model with 2D particle flow code

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