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Pore-scale modelling of relative permeability of cementitious materials using X-ray computed microtomography images

Zhang, M; (2017) Pore-scale modelling of relative permeability of cementitious materials using X-ray computed microtomography images. Cement and Concrete Research , 95 pp. 18-29. 10.1016/j.cemconres.2017.02.005. Green open access

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Abstract

Permeability of cementitious materials is an important durability indicator. In practice, concrete is rarely saturated. Therefore, it is essential to study permeability of unsaturated cementitious materials. This paper presents an integrated modelling approach for estimating permeability of cementitious materials over the full range of saturation. An in-house code based on multiphase and single-phase lattice Boltzmann models is developed and used to simulate the moisture distribution and fluid flow in unsaturated cement paste with various curing ages, the 3D microstructures of which are obtained from X-ray micro-CT. The water permeability and gas permeability of partially saturated cement paste are then estimated. The results indicate with decreasing water saturation water permeability decreases while gas permeability increases. Additionally, the moisture distribution and permeability of unsaturated cement paste are strongly dependent on its microstructure. Moreover, there exists a unique relationship between permeability and effective porosity. The simulation results show good agreement with experimental data.

Type: Article
Title: Pore-scale modelling of relative permeability of cementitious materials using X-ray computed microtomography images
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cemconres.2017.02.005
Publisher version: http://dx.doi.org/10.1016/j.cemconres.2017.02.005
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Permeability (C); Cement paste (D); Microstructure (B); Pore size distribution (B); Lattice Boltzmann method
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1540336
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