亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Mesoscale synergistic effect mechanism of aggregate grading and specimen size on compressive strength of concrete with large aggregate size

抗压强度 中尺度气象学 材料科学 骨料(复合) 复合材料 岩土工程 地质学 气候学
作者
Yuanxun Zheng,Yu Zhang,Jingbo Zhuo,Peng Zhang,Shaowei Hu
出处
期刊:Construction and Building Materials [Elsevier BV]
卷期号:367: 130346-130346 被引量:43
标识
DOI:10.1016/j.conbuildmat.2023.130346
摘要

In this paper, a 2D finite element model with a mesoscale level was established. The effects of content, maximum particle size, and shape of aggregate on the strength of concrete were simulated. In addition, five mesoscopic models of aggregate gradation and specimen side length (100–450 mm) were established to investigate the influence law of aggregate grading and model size on the compressive strength of concrete. The simulation results were also compared and verified with four theoretical size-effect models. The results showed that the compressive strength shows a trend of decreasing and then increasing with the increase of aggregate content and falling with the growth of maximum aggregate size dmax. The peak stress of convex polygonal aggregates is higher than that of round and elliptical. In addition, when the ratio of model side length to the maximum aggregate particle size is about 3.5, the compressive strength gradually decreases with the increase of specimen size, up to 27.65 % decreased, showing a pronounced size effect. After comparative analysis, the simulated data in this paper fitted well with the Bažant’s Type-2, Kim’s modified, Jin’s modified, and Carpinteri’s size effect law (SEL). In addition, the data obtained from the simulation of this paper would better reflect the existing test conclusions. The mesoscale model established in this paper can significantly improve the effectiveness and efficiency of full-graded concrete modeling, and better simulate the strength difference between full-graded and wet-screened specimens. The difficulties in the mesoscale numerical simulation are solved to a certain extent.
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
学术牛马发布了新的文献求助10
1秒前
南陆赏降英完成签到,获得积分10
12秒前
hehexuexi1完成签到,获得积分10
29秒前
林海完成签到 ,获得积分10
44秒前
1分钟前
合适乐巧完成签到 ,获得积分10
1分钟前
kakamua发布了新的文献求助10
1分钟前
kakamua完成签到,获得积分10
2分钟前
3分钟前
FashionBoy应助轻松新之采纳,获得10
4分钟前
4分钟前
4分钟前
轻松新之发布了新的文献求助10
4分钟前
斯文败类应助轻松新之采纳,获得10
4分钟前
考拉完成签到 ,获得积分10
4分钟前
阳光的思山完成签到 ,获得积分10
6分钟前
老石完成签到 ,获得积分10
7分钟前
7分钟前
8分钟前
嘻嘻汐泽发布了新的文献求助10
8分钟前
科目三应助嘻嘻汐泽采纳,获得30
8分钟前
老戎完成签到 ,获得积分10
8分钟前
江晚发布了新的文献求助10
8分钟前
轻松的忆雪完成签到,获得积分20
8分钟前
ines完成签到 ,获得积分10
9分钟前
zzhui完成签到,获得积分10
9分钟前
9分钟前
小马甲应助元力采纳,获得10
10分钟前
闪闪的雪卉完成签到,获得积分10
10分钟前
10分钟前
10分钟前
10分钟前
xhlxhlxhl完成签到,获得积分10
11分钟前
元力发布了新的文献求助10
11分钟前
xhlxhlxhl发布了新的文献求助10
11分钟前
纯真天荷完成签到,获得积分10
11分钟前
Shao_Jq完成签到 ,获得积分10
11分钟前
11分钟前
12分钟前
12分钟前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6358836
求助须知:如何正确求助?哪些是违规求助? 8172891
关于积分的说明 17211049
捐赠科研通 5413870
什么是DOI,文献DOI怎么找? 2865274
邀请新用户注册赠送积分活动 1842725
关于科研通互助平台的介绍 1690788