从微观结构生成到氯离子扩散预测的混凝土氯离子迁移模型

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-08-29 DOI:10.1111/mice.13331
Liang‐yu Tong, Qing‐feng Liu, Qingxiang Xiong, Zhaozheng Meng, Ouali Amiri, Mingzhong Zhang
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引用次数: 0

摘要

胶凝材料的孔隙结构特征对混凝土结构的传输特性起着至关重要的作用。考虑到与孔隙结构相关的模型参数,本文建立了一个新颖的混凝土中氯离子渗透建模框架。在该框架中,通过将氯化物扩散系数与孔径分布(PSDs)联系起来,得出了一个多尺度迁移模型。根据 "多孔生长 "和 "硬核-软壳 "方法生成的三维(3D)微观结构,计算开发了两个子模型,用于确定多模式 PSD 和与孔径相关的氯离子扩散量。将这一系列模型的预测结果与相应的实验数据进行了比较。结果表明,通过采用与孔隙尺寸相关的扩散系数,即使总孔隙率相同,所提出的多尺度氯离子输运模型也能更好地捕捉不同 PSD 对氯离子渗透剖面的影响,而不依赖孔隙结构参数的模型则会忽略这种差异。与采用平均氯化物扩散系数的参考输运模型相比,所提出的多尺度模型预测的氯化物渗透深度与实验数据更加吻合,预测误差减少了 10%-25%。该多尺度输运模型有望为三维微观结构的生成提供一种新的计算方法,并从微观角度更好地揭示氯化物在混凝土中渗透过程的内在机理。
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Modeling the chloride transport in concrete from microstructure generation to chloride diffusivity prediction
Pore structure characteristics of cementitious materials play a critical role in the transport properties of concrete structures. This paper develops a novel framework for modeling chloride penetration in concrete, considering the pore structure‐dependent model parameters. In the framework, a multi‐scale transport model was derived by linking the chloride diffusivities with pore size distributions (PSDs). Based on the three‐dimensional (3D) microstructure generated by “porous growth” and “hard core‐soft shell” methods, two sub‐models were computationally developed for determining the multi‐modal PSDs and pore size‐related chloride diffusivities. The predicted results by these series of models were compared with corresponding experimental data. The results indicated that by adopting pore size‐related diffusivities, even if the total porosities were the same, the proposed multi‐scale chloride transport model could better capture the effect of different PSDs on chloride penetration profiles, while the model without pore structure‐depended parameters would ignore the differences. Compared with the reference transport models, which adopt averaged chloride diffusivities, the chloride penetration depths predicted by the proposed multi‐scale model are in better agreement with experimental data, with 10%–25% reduced prediction error. This multi‐scale transport model is hoped to provide a novel computational approach on 3D microstructure generation and better reveal the underlying mechanism of the chloride penetration process in concrete from a microscopic perspective.
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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