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Research Article | Open Access

In situ detection method of water content in newly poured concrete

Wenbin XuaZengkai HouaWei YangaQian ChenaHao LiubShurong Fengb( )Zhao Wangc
College of Water Resources & Civil Engineering, Hunan Agricultural University, Changsha 410128, China
PowerChina Zhongnan Engineering Corporation Limited, Changsha 410014, China
Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan
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Abstract

Under environmental influence, newly poured concrete experiences excessive evaporation of surface water, which degrades concrete performance. Therefore, the water change process inside the concrete at construction sites needs to be monitored accurately. However, existing technologies cannot fully meet this requirement. In this study, the theoretical relationship between water and dielectric constant changes inside concrete was analyzed on the basis of the dielectric constant characteristics of various components inside concrete. On the basis of the principle of standing wave ratio, a real-time and in situ electrical measurement technology for water content was proposed. The results show quadratic polynomial correlation between the measured voltage of the sensor and the water content of the concrete, and the experimental verification results show a correlation coefficient greater than 0.95 between the measured values and the theoretical relationship. The results of the application of the method in a water conservancy project site show that it has good value for in situ applications and can accurately and automatically monitor the distribution of the water content of concrete in real time.

References

[1]

H. X. Chen, T. Wang, R. He, et al. Effect of complex climatic environment on pore structure and mechanical properties of concrete. J Chang’an Univ (Nat Sci Ed), 2020, 40: 30–37. (in Chinese)

[2]

X. Chen, L. Xu, Y. R. Feng, et al. Microstructures and properties of concrete surfaces under different exposure conditions in complex natural environments of high-altitude regions. J Bulid Eng, 2023, 72: 106663. (in Chinese)

[3]

J. Y. Lv, L. Quan. Division of weatherability design index for cement concrete pavement in Tibet. Highway, 2017, 62: 84–90. (in Chinese)

[4]

Z. Wang, F. Y. Gong, K. Maekawa. Multi-scale and multi-chemo–physics lifecycle evaluation of structural concrete under environmental and mechanical impacts. J Intell Constr, 2023, 1: 9180003.

[5]

Y. Jia, X. L. Zhao, H. B. Bian, et al. Numerical modelling the influence of water content on the mechanical behaviour of concrete under high confining pressures. Mech Res Commun, 2022, 119: 103819.

[6]

X. P. Huang, X. Z. Kong, J. Hu, et al. Effect of free water content on the penetration of concrete. Int J Impact Eng, 2020, 139: 103530.

[7]

X. J. Sun, S. Q. Wang, J. P. Jin, et al. Computational methods of mass transport in concrete under stress and crack conditions: A review. J Intell Constr, 2023, 1: 9180015.

[8]
J. Guo. Rapid measurement of water content and chloride ion content in fresh concrete and the development of its device. Master Thesis, Guangzhou, China: South China University of Technology, 2009. (in Chinese)
[9]

R. Ylmén, L. Wadsö, I. Panas. Insights into early hydration of Portland limestone cement from infrared spectroscopy and isothermal calorimetry. Cem Concr Res, 2010, 40: 1541–1546.

[10]

H. Xiao, Z. F. Yang, L. Zhang, et al. Effect of humidity on determination of main components in cement raw meal using near infrared spectroscopy and compensation method. Spectrosc Spectral Anal, 2020, 40: 867–872. (in Chinese)

[11]

P. F. Faure, S. Caré, J. Magat, et al. Drying effect on cement paste porosity at early age observed by NMR methods. Constr Build Mater, 2012, 29: 496–503.

[12]

R. S. Holthausen, P. J. McDonald. On the quantification of solid phases in hydrated cement paste by 1H nuclear magnetic resonance relaxometry. Cem Concr Res, 2020, 135: 106095.

[13]

J. Zhang, G. Liu, B. G. Li, et al. 3He tube neutron moisture measurement device improving measuring accuracy. Trans Chin Soc Agric Eng, 2018, 34: 90–97. (in Chinese)

[14]

S. Balaghi, N. Ghal-Eh, A. Mohammadi, et al. A neutron scattering soil moisture measurement system with a linear response. Appl Radiat Isot, 2018, 142: 167–172.

[15]

H. F. Pei, H. Y. Shao, Z. J. Li. A novel early-age shrinkage measurement method based on non-contact electrical resistivity and FBG sensing technique. Constr Bulid Mater, 2017, 156: 1158–1162.

[16]

W. Chen, P. L. Shen, Y. Li. Determination of water content of fresh concrete mixture based on relative dielectric constant and modeling. Bull Chin Ceram Soc, 2011, 30: 1233–1238. (in Chinese)

[17]

Y. D. Zhao, Y. M. Wang. Study on the measurement of soil water content based on the principle of standing-wave ratio. Trans Chin Soc Agric Mach, 2002, 33: 109–111,121. (in Chinese)

[18]

X. F. Yan, X. L. Zheng, Y. J. Zhao, et al. Measurement method of forest floor and soil water content based on standing wave ratio. Trans Chin Soc Agric Mach, 2017, 48: 278–283,236. (in Chinese)

[19]

Y. Yang, J. E. Kim, H. J. Song, et al. Methodology: Non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants. Plant Methods, 2021, 17: 56.

[20]

C. Gao, Y. Zhao, Y. D. Zhao. A novel sensor for noninvasive detection of in situ stem water content based on standing wave ratio. J Sensors, 2019, 2019: 3594964.

[21]
Y. D. Zhao. Study on fast-measurement of soil water content and application technology. Ph.D. Thesis, Beijing, China: China Agricultural University, 2002. (in Chinese)
Journal of Intelligent Construction
Article number: 9180033
Cite this article:
Xu W, Hou Z, Yang W, et al. In situ detection method of water content in newly poured concrete. Journal of Intelligent Construction, 2024, 2(4): 9180033. https://doi.org/10.26599/JIC.2024.9180033

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Received: 26 January 2024
Revised: 10 April 2024
Accepted: 15 April 2024
Published: 31 July 2024
© The Author(s) 2024. Published by Tsinghua University Press.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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