2022
DOI: 10.1016/j.conbuildmat.2021.125690
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Effects of aggregate and interface characteristics on chloride diffusion in concrete based on 3D random aggregate model

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Cited by 14 publications
(3 citation statements)
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“…With the rapid development of computer science and numerical modelling, and also its strength in saving test time and cost, the establishment of numerical prediction models has attracted more scientific attention. Fick's law has been widely adopted to depict the penetration of single chloride species [25,29,30]. Subsequently, the thermodynamic modelling approach has been adopted to depict the chemical reaction between ionic species and the hydrated cement system [31,32].…”
Section: Multi-species Transport In Concrete Pore Solutionmentioning
confidence: 99%
“…With the rapid development of computer science and numerical modelling, and also its strength in saving test time and cost, the establishment of numerical prediction models has attracted more scientific attention. Fick's law has been widely adopted to depict the penetration of single chloride species [25,29,30]. Subsequently, the thermodynamic modelling approach has been adopted to depict the chemical reaction between ionic species and the hydrated cement system [31,32].…”
Section: Multi-species Transport In Concrete Pore Solutionmentioning
confidence: 99%
“…He provided a reliable method for predicting compressive strength. Second, by analyzing the concrete composition and using computer programming to create a random aggregate model (RAM) [11] that meets the requirements, Sharif et al [12] simulated samples of biphasic cubic concrete containing spherical aggregates embedded in homogeneous mortar and successfully demonstrated the failure modes of the pieces. After the characterization of the mesoscale aggregate composition method is completed, there are two methods of computational modeling: one is an FEM based on a RAM [11], and the other is a mechanical model based on a discrete element model (DEM) [13].…”
Section: Introductionmentioning
confidence: 99%
“…Zheng et al [16] modeled the aggregate, mortar, and transition zone separately and developed a numerical model to predict the chloride's difusion in concrete. Yu et al [17] studied the chloride difusion in concrete with diferent aggregate volume ratios (AVR) and interfacial transition zone (ITZ) by the random aggregate model. Zheng et al [18] proposed a numerical algorithm for evaluating the chloride difusion coefcient of concrete with crushed aggregates.…”
Section: Introductionmentioning
confidence: 99%