Theoretical Derivation of and Experimental Investigations into the Dielectric Properties Modeling of Concrete
Publication: Journal of Materials in Civil Engineering
Volume 35, Issue 3
Abstract
Investigations into the dielectric properties of concrete form the basis for concrete quality testing and condition monitoring of internal structures when using ground penetrating radar (GPR). The formula used to describe the quantitative relationship between the dielectric properties of composite materials and the dielectric constant and volumetric ratio of each component is known as a dielectric model. In this study, a new dielectric model was deduced from circuit theory on the basis of structural abstraction to calculate the dielectric permittivities of concrete. To validate the applicability and accuracy of the proposed model, because concrete consists of matrix (cement mortar), aggregates (limestone), and air, the dielectric traits of concrete and its components were acquired using an open-ended coaxial probe. Compared with the Brown model, complex refractive index method (CRIM) model, Looyenga model, and Rayleigh model (i.e., the classical models), the results showed that among overall predictions of concrete dielectric constants, the proposed model has the greatest accuracy, because the theoretical results matched the test results more closely. This indicates that the proposed model can better interpret the dielectric properties of concrete, which lays the groundwork for future research into the application of GPR to the nondestructive testing and evaluation of concrete pavement.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
The authors sincerely appreciate the anonymous reviewers and the editor for their time and critical comments on this paper. This research was supported by the National Natural Science Foundation of China (Grant Nos. 51878624 and 51878622), the National Key Research and Development Plan (Grant No. 2018YFB1600200), the Henan Science Fund for Distinguished Young Scholars (Grant No. 202300410354), the Funding Program for Key Scientific Research Projects of Higher Education Institutions in Henan Province (Grant No. 22A580004), and the Central Plains Talent Program - Leading Talents in Basic Research in Central Plains.
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Received: Feb 28, 2022
Accepted: Jun 15, 2022
Published online: Dec 19, 2022
Published in print: Mar 1, 2023
Discussion open until: May 19, 2023
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