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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

邮发代号 80-968

2019 Impact Factor: 1.68

Frontiers of Structural and Civil Engineering  2020, Vol. 14 Issue (6): 1509-1519   https://doi.org/10.1007/s11709-020-0681-9
  本期目录
Correlation of chloride diffusion coefficient and microstructure parameters in concrete: A comparative analysis using NMR, MIP, and X-CT
Yurong ZHANG1,2, Shengxuan XU1, Yanhong GAO1, Jie GUO1, Yinghui CAO1, Junzhi ZHANG1,2()
1. College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310014, China
2. Key Laboratory of Civil Engineering Structure & Disaster Prevention and Mitigation Technology of Zhejiang Province, Hangzhou 310014, China
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Abstract

Permeability is a major indicator of concrete durability, and depends primarily on the microstructure characteristics of concrete, including its porosity and pore size distribution. In this study, a variety of concrete samples were prepared to investigate their microstructure characteristics via nuclear magnetic resonance (NMR), mercury intrusion porosimetry (MIP), and X-ray computed tomography (X-CT). Furthermore, the chloride diffusion coefficient of concrete was measured to explore its correlation with the microstructure of the concrete samples. Results show that the proportion of pores with diameters<1000 nm obtained by NMR exceeds that obtained by MIP, although the difference in the total porosity determined by both methods is minimal. X-CT measurements obtained a relatively small porosity; however, this likely reflects the distribution of large pores more accurately. A strong correlation is observed between the chloride diffusion coefficient and the porosity or contributive porosity of pores with sizes<1000 nm. Moreover, microstructure parameters measured via NMR reveal a lower correlation coefficient R2 versus the chloride diffusion coefficient relative to the parameters determined via MIP, as NMR can measure non-connected as well as connected pores. In addition, when analyzing pores with sizes>50 µm, X-CT obtains the maximal contributive porosity, followed by MIP and NMR.

Key wordspermeability    microstructure    NMR    MIP    X-CT
收稿日期: 2019-07-30      出版日期: 2021-01-12
Corresponding Author(s): Junzhi ZHANG   
 引用本文:   
. [J]. Frontiers of Structural and Civil Engineering, 2020, 14(6): 1509-1519.
Yurong ZHANG, Shengxuan XU, Yanhong GAO, Jie GUO, Yinghui CAO, Junzhi ZHANG. Correlation of chloride diffusion coefficient and microstructure parameters in concrete: A comparative analysis using NMR, MIP, and X-CT. Front. Struct. Civ. Eng., 2020, 14(6): 1509-1519.
 链接本文:  
https://academic.hep.com.cn/fsce/CN/10.1007/s11709-020-0681-9
https://academic.hep.com.cn/fsce/CN/Y2020/V14/I6/1509
material chemical composition, w (%)
SiO2 Al2O3 Fe2O3 CaO MgO
cement 24.6 10.5 2.2 51.2 6.0
FA 47.7 20.8 9.8 11.5 1.5
SG 36.4 17.6 0.9 28.2 14.2
SF 98.0 0.4 0.1 0.3 0.4
BF 54.0 16.5 11.5 7.0 4.5
Tab.1  
no. content (kg/m3) w/b
C FA SF SG BF sand gravel
C1 475 552 1174 0.40
C2 422 567 1204 0.45
C3 380 578 1229 0.50
C4 346 589 1249 0.55
C5 317 597 1269 0.60
C3-FA20a) 304 76 578 1229 0.50
C3-FA30b) 266 114 578 1229 0.50
C3-SGc) 361 19 578 1229 0.50
C3-SFd) 361 19 578 1229 0.50
C3-BFe) 380 1.03 578 1229 0.50
Tab.2  
Fig.1  
no. method
NMR MIP X-CT
C1 9.4 8.8 1.0
C2 9.5 10.1 1.2
C3 10.0 11.3 1.2
C4 13.1 13.1 1.3
C5 15.5 15.0 1.5
C3-FA20 9.5 9.9 0.4
C3-FA30 9.1 9.5 0.6
C3-SG 9.7 10.6 0.6
C3-SF 8.7 9.3 0.5
C3-BF 14.7 11.6 1.3
Tab.3  
Fig.2  
pore diameter distribution 0–50 µm >50 µm
NMR MIP X-CT NMR MIP X-CT
C1 9.30 8.46 0.06 0.32 0.99
C2 9.40 9.36 0.14 0.73 1.19
C3 9.90 11.18 0.07 0.16 1.24
C4 12.88 12.77 0.17 0.35 1.33
C5 15.30 14.39 0.16 0.58 1.46
C3-FA20 9.34 9.69 0.11 0.18 0.42
C3-FA30 8.86 9.28 0.24 0.22 0.58
C3-SG 9.59 10.33 0.06 0.30 0.63
C3-SF 8.57 9.10 0.16 0.16 0.51
C3-BF 14.47 11.35 0.25 0.22 1.29
Tab.4  
Fig.3  
no. <10 nm <100 nm <1000 nm >1000 nm
C1 0.23 (1.85) 45.21 (36.60) 92.14 (78.62) 7.86 (21.38)
C2 0.19 (1.48) 39.40 (37.57) 87.16 (74.81) 12.84 (25.19)
C3 0.22 (1.87) 44.77 (34.40) 92.95 (73.11) 7.05 (28.89)
C4 0.22 (1.72) 43.84 (31.99) 90.89 (76.82) 9.11 (23.18)
C5 0.17 (1.33) 37.77 (40.31) 88.90 (80.54) 11.10 (19.46)
C3-FA20 0.21 (2.03) 44.01 (39.95) 91.32 (76.54) 8.68 (23.46)
C3-FA30 0.18 (1.91) 41.71 (40.42) 91.34 (75.82) 8.66 (24.18)
C3-SG 0.24 (1.95) 48.28 (41.60) 93.88 (79.93) 6.12 (20.07)
C3-SF 0.21 (2.05) 46.22 (42.26) 94.13 (78.94) 5.87 (21.06)
C3-BF 0.20 (1.77) 42.47 (38.37) 90.59 (77.42) 9.41 (22.58)
Tab.5  
Fig.4  
Fig.5  
C1 C2 C3 C4 C5 C3-FA20 C3-FA30 C3-SG C3-SF C3-BF
13.18 14.25 15.55 16.44 17.15 15.21 14.46 15.37 9.85 16.06
Tab.6  
Fig.6  
Fig.7  
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