3D Multi-Ion Corrosion Model in Hierarchically Structured Cementitious Materials Obtained from Nano-XCT Data

曲折 钢筋 材料科学 微观结构 胶凝的 腐蚀 阴极保护 多孔性 有限元法 阳极 结构材料 复合材料 热扩散率 基质(化学分析) 结构工程 水泥 热力学 物理 工程类 物理化学 化学 电极
作者
Krzysztof Szyszkiewicz-Warzecha,Jakub Stec,Jan Deja,Artur Łagosz,Anna Górska,Kristina Kutukova,Ehrenfried Zschech,Robert Filipek
出处
期刊:Materials [Multidisciplinary Digital Publishing Institute]
卷期号:16 (14): 5094-5094 被引量:2
标识
DOI:10.3390/ma16145094
摘要

Corrosion of steel reinforcements in concrete constructions is a worldwide problem. To assess the degradation of rebars in reinforced concrete, an accurate description of electric current, potential and concentrations of various species present in the concrete matrix is necessary. Although the concrete matrix is a heterogeneous porous material with intricate microstructure, mass transport has been treated in a homogeneous material so far, modifying bulk transport coefficients by additional factors (porosity, constrictivity, tortuosity), which led to so-called effective coefficients (e.g., diffusivity). This study presents an approach where the real 3D microstructure of concrete is obtained from high-resolution X-ray computed tomography (XCT), processed to generate a mesh for finite element method (FEM) computations, and finally combined with a multi-species system of transport and electric potential equations. This methodology allows for a more realistic description of ion movements and reactions in the bulk concrete and on the rebar surface and, consequently, a better evaluation of anodic and cathodic currents, ultimately responsible for the loss of reinforcement mass and its location. The results of this study are compared with a state-of-the-art model and numerical calculations for 2D and 3D geometries.
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
陆小成完成签到,获得积分10
刚刚
Ava应助元宵采纳,获得10
1秒前
丘比特应助Domenica采纳,获得10
2秒前
凛睦完成签到,获得积分10
4秒前
JiayiMu发布了新的文献求助30
5秒前
满意幻姬完成签到 ,获得积分10
5秒前
SciGPT应助忧心的宝贝采纳,获得10
5秒前
璇璇完成签到 ,获得积分10
6秒前
情怀应助热心的雪糕采纳,获得10
8秒前
紫苏艾草22完成签到,获得积分10
8秒前
9秒前
9秒前
10秒前
kipo完成签到 ,获得积分10
10秒前
酷波er应助李劲亭采纳,获得10
11秒前
11秒前
科研通AI2S应助xuan采纳,获得10
11秒前
star应助xuan采纳,获得30
11秒前
华仔应助xuan采纳,获得10
11秒前
FashionBoy应助xuan采纳,获得10
11秒前
泠鸢应助xuan采纳,获得10
11秒前
NexusExplorer应助xuan采纳,获得10
11秒前
泠鸢应助xuan采纳,获得10
12秒前
泠鸢应助xuan采纳,获得10
12秒前
乐乐应助xuan采纳,获得10
12秒前
泠鸢应助xuan采纳,获得10
12秒前
13秒前
天生骄傲完成签到,获得积分10
13秒前
mxy126354发布了新的文献求助10
14秒前
满意幻姬关注了科研通微信公众号
15秒前
星星有梦做完成签到 ,获得积分10
15秒前
冷傲孱发布了新的文献求助10
15秒前
欢喜板凳完成签到 ,获得积分0
17秒前
lilivite应助蓝天采纳,获得20
17秒前
17秒前
17秒前
wangq246完成签到,获得积分10
17秒前
清脆刺猬完成签到,获得积分10
18秒前
852应助野性的问儿采纳,获得10
19秒前
木子完成签到,获得积分10
21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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
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 6359404
求助须知:如何正确求助?哪些是违规求助? 8173338
关于积分的说明 17214178
捐赠科研通 5414494
什么是DOI,文献DOI怎么找? 2865441
邀请新用户注册赠送积分活动 1842823
关于科研通互助平台的介绍 1691023