Modeling and fracture behavior of mesoscale concrete considering actual aggregate shapes and placement domain shapes

材料科学 灰浆 极限抗拉强度 骨料(复合) 结构工程 楔形(几何) 复合材料 断裂力学 断裂(地质) 几何学 数学 工程类
作者
Tianyu Zhu,Zhonghui Chen,Lingfei Zhang,Gengqian Nian,Yanwei Chen,Jianshuai Hao
出处
期刊:Construction and Building Materials [Elsevier BV]
卷期号:400: 132821-132821 被引量:6
标识
DOI:10.1016/j.conbuildmat.2023.132821
摘要

The establishment of meso-concrete models under complex boundary conditions still faces great challenges at present. In this study, a numerical framework for constructing concrete meso-structures in irregularly placement domains is developed based on the dot matrix idea. In addition, a solution to quickly obtain numerous 3D aggregates with realistic morphology as well as 2D cross-section aggregates is proposed. On this basis, wedge splitting (WST) tests with different coarse aggregate contents are conducted and the numerical results agree well with experimental results. The fracture mechanism of the wedge splitting specimen was then investigated by analyzing the contact force chain and crack evolution. Finally, parametric analysis was used to investigate the impact of aggregate and mortar strength on the fracture characteristics of WST specimens. The results show that the numerical framework has good robustness. Tensile stress is the driving force for crack extension in WST specimens, the area of the pure tensile stress zone and the distance between the front end of the pure tensile stress zone and the crack tip decreases as the crack extension length increases. With the increase of coarse aggregate content, the deflection effect of the crack is intensified, the crack path becomes more tortuous, and the fracture zone range also increases. The mechanical properties of concrete and the crack extension path are significantly influenced by the strength of the mortar and the aggregate, but the aggregate does not contribute as much to the overall strength of the concrete structure as the mortar matrix does.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
紧张的依丝完成签到,获得积分10
1秒前
钵钵鸡完成签到 ,获得积分10
1秒前
tong发布了新的文献求助10
1秒前
小肉丝完成签到,获得积分10
1秒前
亦依然完成签到 ,获得积分10
2秒前
哪位完成签到,获得积分20
3秒前
AoAoo发布了新的文献求助10
3秒前
专注的语堂完成签到,获得积分10
3秒前
4秒前
善良的安卉完成签到,获得积分10
4秒前
lysun发布了新的文献求助10
4秒前
忧虑的翠彤完成签到,获得积分10
5秒前
5秒前
drunk完成签到 ,获得积分20
5秒前
5秒前
6秒前
俊逸翠丝发布了新的文献求助30
6秒前
深林盛世完成签到,获得积分10
6秒前
7秒前
科研八戒发布了新的文献求助10
8秒前
哈哈哈发布了新的文献求助10
8秒前
赵春雨完成签到,获得积分10
9秒前
sdl发布了新的文献求助10
9秒前
Singularity应助Aaron_Chia采纳,获得10
9秒前
天生圣人完成签到,获得积分10
9秒前
BEI应助小肉丝采纳,获得30
9秒前
10秒前
Akim应助哈哈采纳,获得10
11秒前
xl发布了新的文献求助10
11秒前
wipmzxu完成签到,获得积分10
12秒前
叮叮当当发布了新的文献求助10
12秒前
Billy应助小稻草人采纳,获得30
12秒前
活泼的灵完成签到 ,获得积分10
12秒前
烫塔发布了新的文献求助10
12秒前
芝士坤坤发布了新的文献求助10
13秒前
13秒前
13秒前
Tao完成签到,获得积分10
14秒前
小狗完成签到 ,获得积分10
14秒前
15秒前
高分求助中
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Resonance: A Sociology of Our Relationship to the World 200
Worked Bone, Antler, Ivory, and Keratinous Materials 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3828462
求助须知:如何正确求助?哪些是违规求助? 3370778
关于积分的说明 10464992
捐赠科研通 3090721
什么是DOI,文献DOI怎么找? 1700503
邀请新用户注册赠送积分活动 817885
科研通“疑难数据库(出版商)”最低求助积分说明 770571