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Prediction of Water Permeability for Cement-based Material from the Pore Size Distribution Achieved by Low-field Nuclear Magnetic Resonance Relaxation Technique
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Enhui XIE, Chunsheng ZHOU
Journal of the Chinese Ceramic Society | 2020, 48(11) : 1808 - 1816
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Journal of the Chinese Ceramic Society | 2020, 48(11): 1808-1816
• Research Articles •
Prediction of Water Permeability for Cement-based Material from the Pore Size Distribution Achieved by Low-field Nuclear Magnetic Resonance Relaxation Technique
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Enhui XIE, Chunsheng ZHOU
Affiliations
  • School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China
  • XIE Enhui (1994-), male, Master. E-mail:

About Author:

XIE Enhui (1994-), male, Master. E-mail:

Published: 2020-11-20 doi: 10.14062/j.issn.0454-5648.20200223
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In order to clarify the relationship between the permeability of cement-based material and its pore structure, several mortars at different water to cement ratios and curing temperatures were investigated through the measurements of their pore structures by the low-field nuclear magnetic resonance (LF-NMR) and mercury intrusion porosimetry (MIP). Their permeability coefficients to water were also measured based on the Darcy law. The results show that the pore size distribution of water-saturated mortar is obviously different from that at totally dry state, whose critical diameter is larger by roughly 1 order of magnitude. This great gap is rooted to the essential water permeability for hydrated calcium silicate (C-S-H) and thus cement-based material, making their nanoscale pore structure highly depend on water contents. Furthermore, the total porosity and critical pore size both remarkably increase after curing in hot water of 80 ℃ for 56 d, which therefore increases the water permeability. These effects are brought by the chemical aging of C-S-H gels, which harms the durability performance of cement-based material. When investigating the evolution of pore structure through common MIP, the effect of drying preconditioning on pore structure should be taken into account because it is much greater than the effect of chemical aging at elevated temperature. If treating all the pores as bundles of capillary tubes, the classical Kozeny-Carman theory is able to predict the water permeability of mortars according to the pore structure achieved through LF-NMR at water-saturated state. The relative prediction error of the Kozeny-Carman theory with a linear coefficient of 1.09 is as low as within [-42.7%, 71.1%], which is similar to the experimental error of extremely low water permeability.

cement mortar  /  water permeability  /  pore structure  /  low-field nuclear magnetic resonance  /  water sensitivity
谢恩慧, 周春圣. 利用低场磁共振弛豫测孔技术预测水泥基材料的水分渗透率. 硅酸盐学报, 2020 , 48 (11) : 1808 -1816 . DOI: 10.14062/j.issn.0454-5648.20200223
Enhui XIE, Chunsheng ZHOU. Prediction of Water Permeability for Cement-based Material from the Pore Size Distribution Achieved by Low-field Nuclear Magnetic Resonance Relaxation Technique[J]. Journal of the Chinese Ceramic Society, 2020 , 48 (11) : 1808 -1816 . DOI: 10.14062/j.issn.0454-5648.20200223
Year 2020 volume 48 Issue 11
35
11
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Article Info
doi: 10.14062/j.issn.0454-5648.20200223
  • Receive Date:2020-03-30
  • Online Date:2026-10-29
  • Published:2020-11-20
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History
  • Received:2020-03-30
  • Revised:2020-04-14
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Affiliations
    School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China

Corresponding:

ZHOU Chunsheng (1983-), male, Ph.D., Professor. E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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