3D mesoscale modelling of steel fiber-reinforced aggregate concrete

材料科学 纤维混凝土 韧性 中尺度气象学 骨料(复合) 抗压强度 结构工程 复合材料 开裂 纤维 灰浆 变形(气象学) 工程类 地质学 气候学
作者
Zhangyu Wu,Wei She,Jinhua Zhang,Jinhui Tang,Yubin Cao,Bo Da
出处
期刊:International Journal of Mechanical Sciences [Elsevier BV]
卷期号:257: 108550-108550 被引量:33
标识
DOI:10.1016/j.ijmecsci.2023.108550
摘要

Steel fiber-reinforced concrete (SFRC) is a versatile engineering material renowned for its exceptional strength, toughness, and durability. In order to gain a thorough understanding of the mechanical response and damage mechanism of SFRC, a novel 3D four-phase mesoscale model consisting of coarse aggregates, mortar, steel fibers (SFs), and interfacial transition zone (ITZ), is developed to investigate its compressive properties in this paper. We developed 3D random aggregate models that feature rough surface and sharp angular shapes to accurately mimic the coarse aggregates. Additionally, three types of SF models (straight, hooked-end and spiral) were established and randomly inserted into those aggregate models. Using a two-step meshing method and coupling technique, we established a high-efficiency finite element model to simulate the compressive behaviors of SFRC, including failure patterns, stress-strain curves, and cracking processes. Results indicated that the cracking in SFRC initiated from the micro-cracks in the ITZ phase, followed by the macro-cracks that propagate in the mortar matrix and were restrained or hindered by the surrounding SFs. Using our developed mesoscale model, the compressive strength, deformation properties of SFRC containing various types of SFs were investigated. The failure mechanism of SFRC was revealed through the simulation of crack-fiber behaviors at the meso‑scale. Based on the existing experimental findings, our proposed mesoscale model has been demonstrated to be highly reliable in analyzing the strength and damage patterns of SFRC, allow for further insights into the mechanical responses of different types of SFRC under various loading conditions.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
丘比特应助003采纳,获得20
1秒前
小巧的花生完成签到,获得积分10
3秒前
香蕉觅云应助feng_yihan采纳,获得10
3秒前
4秒前
hadfunsix完成签到 ,获得积分10
4秒前
Lucas应助茫123456采纳,获得10
4秒前
5秒前
酷酷的怀莲完成签到,获得积分10
5秒前
科目三应助天津小场面采纳,获得10
7秒前
在水一方应助yangzhongou采纳,获得10
7秒前
嘿哈完成签到,获得积分10
8秒前
9秒前
9秒前
10秒前
11秒前
yanwei完成签到,获得积分20
12秒前
赵心雨关注了科研通微信公众号
13秒前
怿愀发布了新的文献求助10
13秒前
鳗鱼幼丝完成签到,获得积分20
13秒前
SciGPT应助小巧的花生采纳,获得10
14秒前
tang发布了新的文献求助10
15秒前
16秒前
003发布了新的文献求助20
16秒前
长安完成签到,获得积分10
18秒前
领导范儿应助星空采纳,获得10
19秒前
19秒前
shuang发布了新的文献求助10
20秒前
21秒前
一个大花瓶完成签到 ,获得积分10
22秒前
22秒前
飘逸的紫菜完成签到,获得积分10
22秒前
Lin完成签到,获得积分10
23秒前
23秒前
河神发布了新的文献求助10
24秒前
Fairy完成签到,获得积分10
25秒前
11发布了新的文献求助10
26秒前
26秒前
28秒前
畅23456发布了新的文献求助30
28秒前
赵心雨发布了新的文献求助10
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
Sociologies et cosmopolitisme méthodologique 400
Why America Can't Retrench (And How it Might) 400
Another look at Archaeopteryx as the oldest bird 390
创造互补优势国外有人/无人协同解析 300
The Great Psychology Delusion 300
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4649250
求助须知:如何正确求助?哪些是违规求助? 4037390
关于积分的说明 12487895
捐赠科研通 3727378
什么是DOI,文献DOI怎么找? 2057210
邀请新用户注册赠送积分活动 1088192
科研通“疑难数据库(出版商)”最低求助积分说明 969361