Effects of aggregate distribution on the cracking behavior of concrete: A discrete element method study

Zesen Peng, Qing-feng Liu, Xuan Gao, Xin-Yu Zhao, Jin Xia, Qing-xiang Xiong
{"title":"Effects of aggregate distribution on the cracking behavior of concrete: A discrete element method study","authors":"Zesen Peng, Qing-feng Liu, Xuan Gao, Xin-Yu Zhao, Jin Xia, Qing-xiang Xiong","doi":"10.1016/j.cemconcomp.2025.106119","DOIUrl":null,"url":null,"abstract":"The aggregate distribution in concrete significantly influences the location of Interfacial Transition Zones (ITZs), impacting the initiation and propagation paths of cracks and complicating the prediction of concrete’s cracking behavior. To figure out the effects of aggregate distribution on concrete crack features, this study constructs a porosity-based heterogeneous model using the Discrete Element Method (DEM), considering the weak mechanical properties within the ITZs to accurately represent concrete crack evolution. Statistical analysis is then conducted to investigate the effects of aggregate distribution on the uniaxial compressive performance of concrete. The results indicate a linear relationship between the average compressive stress increment and the cracking proportion during the inelastic stage of concrete. Cracks are less likely to form between aggregates that are distributed along the loading direction. Furthermore, the length and endpoint positions of cracks between each pair of aggregates are determined within a specific range. Based on these statistical results, a crack prediction algorithm is proposed, and its key parameters are determined. Comparing the predicted crack patterns with those obtained from DEM modeling results demonstrates the algorithm’s accuracy in predicting the primary cracks in concrete subjected to uniaxial compression. This study hopes to provide a reference for predicting crack features in concrete with different aggregate distributions, facilitating more accurate assessments of structural damage and enhancing the safety and service life of concrete structures.","PeriodicalId":519419,"journal":{"name":"Cement and Concrete Composites","volume":"117 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cement and Concrete Composites","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.cemconcomp.2025.106119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The aggregate distribution in concrete significantly influences the location of Interfacial Transition Zones (ITZs), impacting the initiation and propagation paths of cracks and complicating the prediction of concrete’s cracking behavior. To figure out the effects of aggregate distribution on concrete crack features, this study constructs a porosity-based heterogeneous model using the Discrete Element Method (DEM), considering the weak mechanical properties within the ITZs to accurately represent concrete crack evolution. Statistical analysis is then conducted to investigate the effects of aggregate distribution on the uniaxial compressive performance of concrete. The results indicate a linear relationship between the average compressive stress increment and the cracking proportion during the inelastic stage of concrete. Cracks are less likely to form between aggregates that are distributed along the loading direction. Furthermore, the length and endpoint positions of cracks between each pair of aggregates are determined within a specific range. Based on these statistical results, a crack prediction algorithm is proposed, and its key parameters are determined. Comparing the predicted crack patterns with those obtained from DEM modeling results demonstrates the algorithm’s accuracy in predicting the primary cracks in concrete subjected to uniaxial compression. This study hopes to provide a reference for predicting crack features in concrete with different aggregate distributions, facilitating more accurate assessments of structural damage and enhancing the safety and service life of concrete structures.
集料分布对混凝土开裂行为的影响:一种离散元法研究
混凝土中骨料分布对界面过渡区(itz)的位置有显著影响,影响裂缝的起裂和扩展路径,使混凝土开裂行为的预测复杂化。为了研究骨料分布对混凝土裂缝特征的影响,本研究采用离散元法(DEM)构建了基于孔隙率的非均质模型,考虑了ITZs内部的弱力学特性,以准确表征混凝土裂缝演化。统计分析了骨料分布对混凝土单轴抗压性能的影响。结果表明,混凝土非弹性阶段的平均压应力增量与开裂比例呈线性关系。沿加载方向分布的集料之间不太可能形成裂缝。此外,每对骨料之间的裂缝长度和端点位置在特定范围内确定。基于这些统计结果,提出了一种裂纹预测算法,并确定了其关键参数。将预测的裂缝形态与DEM建模结果进行对比,验证了该算法对单轴压缩混凝土主裂缝预测的准确性。本研究希望为预测不同骨料分布的混凝土裂缝特征提供参考,有助于更准确地评估结构损伤,提高混凝土结构的安全性和使用寿命。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信