Journal Article10.3390/ma16175892
Two-Dimensional Microstructure-Based Model for Evaluating the Permeability Coefficient of Heterogeneous Construction Materials.
Jiaqi Chen,Shujun Yu,Wei Huang +2 more
2
TL;DR: A two-dimensional microstructure-based model is developed to predict the permeability coefficient of heterogeneous construction materials. The model considers aggregate shape, digital image technology, and the interfacial transition zone between aggregate and mortar. The model has good prediction accuracy with a relative error of 1.73%. The model explores the influences of various factors on the permeability coefficient of concrete, including aggregate content, aggregate characteristics, aggregate location, ITZ thickness, and water-cement ratio.
read more
Abstract: The permeability coefficient of construction materials plays a crucial role in engineering quality and durability. In this study, a microstructure model based on real aggregate shape and digital image technology is proposed to predict the permeability coefficient of concrete. A two-dimensional, three-component finite element model of cement concrete was established considering the interfacial transition zone (ITZ) between aggregate and mortar. The permeability coefficient prediction model was developed by the finite element method. The accuracy of the model was verified by experimental data, and the influence of the water-cement ratio on the permeability coefficient of concrete was analyzed. The results show that this method has good prediction accuracy with a relative error of 1.73%. According to the verified model, the influences of aggregate content, aggregate characteristics, aggregate location, ITZ thickness, and other factors on the permeability of concrete were explored. The higher the water-cement ratio, the higher the permeability coefficient. With the increase in aggregate content, the permeability coefficient decreases. Aggregate permeability has a significant influence on the effective permeability coefficient of concrete within a certain range. The greater the roundness of aggregate, the greater the permeability of concrete. On the contrary, the larger aggregate size causes lower permeability. The permeability coefficient of concrete with segregation is lower than that with uniform distribution. At the same time, the permeability increases with the increase of ITZ thickness.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Multi-scale characterization and modeling of concrete permeability containing recycled steel slag aggregate
Shujun Yu,Jiaqi Chen,Hao Wang,Qing Xie +3 more
1
Characteristics of pore structure and permeability prediction in binary blended pervious concrete
Uma Maguesvari Muthaiyan
TL;DR: This study investigates pore structure characteristics and permeability prediction in binary blended pervious concrete, using image analysis and volumetric methods, and finds strong agreement between experimental and predicted permeability values.
References
Quantitative prediction of permeability in porous rock
A. J. Katz,A. H. Thompson +1 more
TL;DR: On montre que les concepts de percolation conduisent a la definition d'une longueur caracteristique pour la permeabilite dans des milieux poreux aleatoires.
1.1K
Multiscale Analytical/Numerical Theory of the Diffusivity of Concrete
Edward J. Garboczi,Dale P. Bentz +1 more
TL;DR: In this paper, a multiscale microstructural computer model for ionic diffusivity has been developed specifically to compute the chloride diffusivities of concretes with various mixture proportions and projected degrees of hydration.
211
Effect of nano-particles on durability of fiber-reinforced concrete pavement
TL;DR: In this paper, nano-particles are employed to be as substitute of a portion of cement, and the results show that using 5% nano-silica (by the weight of cementitious materials) improves the compressive strength and frost resistance of concrete as much as 30% and 83% respectively.
126
Smart materials and technologies for sustainable concrete construction
TL;DR: A comprehensive review of current trends and opportunities for sustainable concrete construction, emphasizing the importance of adopting eco-friendly practices to mitigate the industry's environmental impact, is presented in this article .
124
Evaluation of thermal conductivity of asphalt concrete with heterogeneous microstructure
TL;DR: In this paper, a hierarchical multi-scale finite element (FE) modeling approach was used to simulate the steady heat transfer process for predicting the effective thermal conductivity of asphalt concrete.
115