Time Domain Reflectometry Measurements of Road Basecourse Moisture Content

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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eISSN: 1178-5608

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VOLUME 7 , ISSUE 5 (December 2014) > List of articles

Special issue ICST 2014

Time Domain Reflectometry Measurements of Road Basecourse Moisture Content

Ian G. Platt * / Ian Woodhead / Sean Richards / Adrian Tan / Michael Hagedorn / Phil Herrington / Shaun Cook

Keywords : component; TDR; road; basecourse; dielectric; moisture content

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-5, DOI: https://doi.org/10.21307/ijssis-2019-076

License : (CC BY-NC-ND 4.0)

Published Online: 15-February-2020

ARTICLE

ABSTRACT

This paper describes an empirical transform between the propagation time (tp) data obtained from a non invasive Time Domain Reflectometry (TDR) sensor to the percentage moisture content . θv within two different road making basecourse aggregate material. Results show that a simple quadratic fit between tp and θv can be given leading to a maximum error in the estimate of 0.55%. It is also shown that the dielectric model underlying each of the basecourses is different enough to warrant the use of a unique quadratic function (i.e. different quadratic coefficients) for each.

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REFERENCES

[1]  A. Dawson, Water in Road Structures – Movement, Drainage and Effects, Springer, 2008. 

[2]  Z. Xiaobin, W. Hui and Z. Yancong, “Evaluation of Subgrade Compactness,” Applied Mechanics and Materials, Vols. 368-370, pp. 1663-1667, 2013. 

[3]  O. A. Abaza, “Assessment Of Nuclear Density Measurements In The Quality Control Of Highway Construction,” Materials Technology, vol. 21, pp. 225229, 2006. 

[4]  I. Platt, I. Woodhead and M. Hagedorn, “The Use of Dielectric Models to Determine Moisture Content in Aggregate Material,” in International Conference on Sensing Technology, Wellington, New Zealand, 2011. 

[5]  I. Woodhead, D. Kulasiri and G. Buchan, “Pseudo-3-D moment method for rapid calculation of electric field distribution in a low-loss inhomogeneous dielectric,” IEEE Transactions on Antennas and Propagation, vol. 49, pp. 1117-1122, 2001. 

[6]  I. Platt and I. Woodhead, “A 1D inversion for non-invasive time domain reflectometry,” Measurement Science and Technology, vol. 19, 2008. 

[7]  I. Platt and I. Woodhead, “A Bayesian Approach to Solving the Non – Invasive Time Domain Reflectometry Inverse Problem,” Sensors & Transducers Journal, vol. 6, pp. 27-42, 2009. 

[8]  G. C. Topp, J. L. Davis and A. P. Annan, “Electromagnetic Determination of Soil Water Content Using TDR: I. Applications to Wetting Fronts and Steep Gradients,” Soil Sci Soc Am J, vol. 46, pp. 672-678, 1982. 

[9]  J. R. Wang, “The dielectric properties of soil-water mixtures at microwave frequencies,” Radio Sci., vol. 15, pp. 977-985, 1980. 

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