A grain-based discretized virtual internal bond (GB-DVIB) model for modeling micro-cracking of granular rock

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal for Multiscale Computational Engineering Pub Date : 2024-09-01 DOI:10.1615/intjmultcompeng.2024052740
Yuezong Yang, Yujie Wang, Zihan LIU
{"title":"A grain-based discretized virtual internal bond (GB-DVIB) model for modeling micro-cracking of granular rock","authors":"Yuezong Yang, Yujie Wang, Zihan LIU","doi":"10.1615/intjmultcompeng.2024052740","DOIUrl":null,"url":null,"abstract":"The meso-structure of rock essentially affects its macroscopic mechanical behaviors. Based on the discretized virtual internal bond (DVIB) model, a grain-based DVIB (GB-DVIB) model is developed to investigate the gain-scale micro-cracking process. A meso-structure generation method for granular rock is proposed within the framework of DVIB. By this method, mineral grains, grain-boundaries and voids can be generated conveniently. Based on the relationship between macro and micro-parameters in DVIB, the mechanical parameters of meso-structure obtained by experiments can be employed to calibrate the micro-bond parameters directly. The effect of mechanical parameters of meso-structure, grain size and porosity on the macroscopic mechanical behavior is investigated, which provides a valuable reference for the application of GB-DVIB. The intra-granular and inter-granular cracks both can be reproduced by the method. A three-point bending test and an asymmetric compressive test of granite samples are simulated. The simulated micro-cracking process and macro-failure pattern are consistent with the experimental observation. The GB-DVIB provide a convenient and effective tool for researching the gain-scale micro-cracking process of granular rock.","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Multiscale Computational Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1615/intjmultcompeng.2024052740","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The meso-structure of rock essentially affects its macroscopic mechanical behaviors. Based on the discretized virtual internal bond (DVIB) model, a grain-based DVIB (GB-DVIB) model is developed to investigate the gain-scale micro-cracking process. A meso-structure generation method for granular rock is proposed within the framework of DVIB. By this method, mineral grains, grain-boundaries and voids can be generated conveniently. Based on the relationship between macro and micro-parameters in DVIB, the mechanical parameters of meso-structure obtained by experiments can be employed to calibrate the micro-bond parameters directly. The effect of mechanical parameters of meso-structure, grain size and porosity on the macroscopic mechanical behavior is investigated, which provides a valuable reference for the application of GB-DVIB. The intra-granular and inter-granular cracks both can be reproduced by the method. A three-point bending test and an asymmetric compressive test of granite samples are simulated. The simulated micro-cracking process and macro-failure pattern are consistent with the experimental observation. The GB-DVIB provide a convenient and effective tool for researching the gain-scale micro-cracking process of granular rock.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于晶粒的离散虚拟内结合(GB-DVIB)模型,用于模拟粒状岩石的微裂缝
岩石的中观结构从根本上影响其宏观力学行为。在离散化虚拟内结合(DVIB)模型的基础上,建立了基于晶粒的 DVIB(GB-DVIB)模型,以研究增益尺度的微裂缝过程。在 DVIB 框架内提出了一种粒状岩石中观结构生成方法。通过这种方法,可以方便地生成矿物晶粒、晶界和空隙。根据 DVIB 中宏观参数和微观参数之间的关系,可以利用实验获得的中观结构力学参数直接标定微观结合参数。研究了介观结构力学参数、晶粒尺寸和孔隙率对宏观力学行为的影响,为 GB-DVIB 的应用提供了有价值的参考。该方法可再现晶内和晶间裂纹。模拟了花岗岩样品的三点弯曲试验和非对称抗压试验。模拟的微观裂纹过程和宏观失效模式与实验观察结果一致。GB-DVIB 为研究粒状岩石的增益尺度微裂缝过程提供了一个方便有效的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.40
自引率
14.30%
发文量
44
审稿时长
>12 weeks
期刊介绍: The aim of the journal is to advance the research and practice in diverse areas of Multiscale Computational Science and Engineering. The journal will publish original papers and educational articles of general value to the field that will bridge the gap between modeling, simulation and design of products based on multiscale principles. The scope of the journal includes papers concerned with bridging of physical scales, ranging from the atomic level to full scale products and problems involving multiple physical processes interacting at multiple spatial and temporal scales. The emerging areas of computational nanotechnology and computational biotechnology and computational energy sciences are of particular interest to the journal. The journal is intended to be of interest and use to researchers and practitioners in academic, governmental and industrial communities.
期刊最新文献
A grain-based discretized virtual internal bond (GB-DVIB) model for modeling micro-cracking of granular rock A smoothed natural neighbour Galerkin method for flexoelectric solids Bird Squirrel Optimization with Deep Recurrent Neural Network forProstate Cancer Detection Machine-learning-based asymptotic homogenisation and localisation of spatially varying multiscale configurations made of materials with nonlinear stress-strain relationships Multiscale 3D TransUNet-aided Tumor Segmentation and Multi-Cascaded Model for Lung Cancer Diagnosis System from 3D CT Images with Fused Feature Pool Formation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1