Methods for the modelling of concrete mesostructures: a critical review

骨料(复合) 中尺度气象学 参数统计 计算机科学 固体力学 代表(政治) 结构工程 岩土工程 材料科学 地质学 工程类 数学 统计 气候学 政治 政治学 法学 复合材料
作者
Qifan Ren,Jo�ão Pacheco,Jorge de Brito
出处
期刊:Construction and Building Materials [Elsevier BV]
卷期号:408: 133570-133570 被引量:9
标识
DOI:10.1016/j.conbuildmat.2023.133570
摘要

Numerical modelling at the mesoscale is a time- and cost-efficient tool to optimize concrete mix design and to analyse the phenomenological causes of mechanical failure, e.g. when developing novel concrete with unconventional materials. A successful mesoscale model strongly depends on a compromise between a realistic and an efficient representation of the mesoscale phases of concrete - coarse aggregates, mortar matrix, and interfacial transition zone (ITZ). Different approaches to achieve this goal have been developed. This paper identifies relevant parameters that are needed for general geometric modelling, including geometric properties of aggregates (shape, grading, volumetric fraction), and intrinsic phenomena of the mesostructure of concrete - the ITZ, wall effects and aggregate settlement, as well as model size and boundary. Methods to integrate these parameters into modelling are presented. The main topics of the paper are: (1) methods to model aggregate's geometry, either by parametric equations or by image analysis reconstruction; (2) critical review and evaluation of strategies to construct the mesostructure regarding convenience and realistic modelling; (3) methods related to random aggregate modelling and respective strategies to implement overlapping detection algorithms to be used during the random placement of aggregates; (4) evaluation of methods that deal with the modelling of the ITZ, voids, and fibres. The paper also argues that certain options of mesostructural models are not yet experimentally validated.
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
2秒前
5秒前
6秒前
6秒前
若雨凌风应助哈桑士采纳,获得20
7秒前
小玉应助ysw采纳,获得10
8秒前
田様应助Liangyu采纳,获得10
9秒前
英俊白莲发布了新的文献求助10
11秒前
11秒前
12秒前
LI发布了新的文献求助10
13秒前
彩色青亦发布了新的文献求助10
16秒前
赘婿应助LiP采纳,获得10
17秒前
Lesley完成签到 ,获得积分10
18秒前
19秒前
彩虹糖发布了新的文献求助10
19秒前
yudada给yudada的求助进行了留言
20秒前
22秒前
橙子发布了新的文献求助200
25秒前
木穹完成签到,获得积分0
26秒前
27秒前
xmz应助科研通管家采纳,获得10
28秒前
28秒前
xmz应助科研通管家采纳,获得10
28秒前
wangw061应助科研通管家采纳,获得20
28秒前
28秒前
29秒前
29秒前
酷波er应助狗蛋采纳,获得10
29秒前
29秒前
科研通AI5应助彩虹糖采纳,获得10
29秒前
chu发布了新的文献求助10
30秒前
31秒前
32秒前
NexusExplorer应助MeSs采纳,获得10
32秒前
清平道人完成签到,获得积分10
33秒前
34秒前
赵炎完成签到 ,获得积分10
34秒前
AlexLee发布了新的文献求助10
35秒前
35秒前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
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
Limes XXIII Sonderband 4 / II Proceedings of the 23rd International Congress of Roman Frontier Studies Ingolstadt 2015 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 3829269
求助须知:如何正确求助?哪些是违规求助? 3371975
关于积分的说明 10470047
捐赠科研通 3091557
什么是DOI,文献DOI怎么找? 1701181
邀请新用户注册赠送积分活动 818284
科研通“疑难数据库(出版商)”最低求助积分说明 770765