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Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell
The detection of porosity changes within a soil matrix caused by internal erosion is beneficial for a better understanding of the mechanisms that induce and maintain the erosion process. In this paper, an electromagnetic approach using Spatial Time Domain Reflectometry (STDR) and a transmission line...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387187/ https://www.ncbi.nlm.nih.gov/pubmed/30717143 http://dx.doi.org/10.3390/s19030611 |
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author | Bittner, Tilman Bajodek, Mathieu Bore, Thierry Vourc’h, Eric Scheuermann, Alexander |
author_facet | Bittner, Tilman Bajodek, Mathieu Bore, Thierry Vourc’h, Eric Scheuermann, Alexander |
author_sort | Bittner, Tilman |
collection | PubMed |
description | The detection of porosity changes within a soil matrix caused by internal erosion is beneficial for a better understanding of the mechanisms that induce and maintain the erosion process. In this paper, an electromagnetic approach using Spatial Time Domain Reflectometry (STDR) and a transmission line model is proposed for this purpose. An original experimental setup consisting of a coaxial cell which acts as an electromagnetic waveguide was developed. It is connected to a transmitter/receiver device both measuring the transmitted and corresponding reflected electromagnetic pulses at the cell entrance. A gradient optimization method based on a computational model for simulating the wave propagation in a transmission line is applied in order to reconstruct the spatial distribution of the soil dielectric permittivity along the cell based on the measured signals and an inversion algorithm. The spatial distribution of the soil porosity is deduced from the dielectric permittivity profile by physically based mixing rules. Experiments were carried out with glass bead mixtures of known dielectric permittivity profiles and subsequently known spatial porosity distributions to validate and to optimize both, the proposed computational model and the inversion algorithm. Erosion experiments were carried out and porosity profiles determined with satisfying spatial resolution were obtained. The RMSE between measured and physically determined porosities varied among less than 3% to 6%. The measurement rate is sufficient to be able to capture the transient process of erosion in the experiments presented here. |
format | Online Article Text |
id | pubmed-6387187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63871872019-02-26 Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell Bittner, Tilman Bajodek, Mathieu Bore, Thierry Vourc’h, Eric Scheuermann, Alexander Sensors (Basel) Article The detection of porosity changes within a soil matrix caused by internal erosion is beneficial for a better understanding of the mechanisms that induce and maintain the erosion process. In this paper, an electromagnetic approach using Spatial Time Domain Reflectometry (STDR) and a transmission line model is proposed for this purpose. An original experimental setup consisting of a coaxial cell which acts as an electromagnetic waveguide was developed. It is connected to a transmitter/receiver device both measuring the transmitted and corresponding reflected electromagnetic pulses at the cell entrance. A gradient optimization method based on a computational model for simulating the wave propagation in a transmission line is applied in order to reconstruct the spatial distribution of the soil dielectric permittivity along the cell based on the measured signals and an inversion algorithm. The spatial distribution of the soil porosity is deduced from the dielectric permittivity profile by physically based mixing rules. Experiments were carried out with glass bead mixtures of known dielectric permittivity profiles and subsequently known spatial porosity distributions to validate and to optimize both, the proposed computational model and the inversion algorithm. Erosion experiments were carried out and porosity profiles determined with satisfying spatial resolution were obtained. The RMSE between measured and physically determined porosities varied among less than 3% to 6%. The measurement rate is sufficient to be able to capture the transient process of erosion in the experiments presented here. MDPI 2019-02-01 /pmc/articles/PMC6387187/ /pubmed/30717143 http://dx.doi.org/10.3390/s19030611 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bittner, Tilman Bajodek, Mathieu Bore, Thierry Vourc’h, Eric Scheuermann, Alexander Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell |
title | Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell |
title_full | Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell |
title_fullStr | Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell |
title_full_unstemmed | Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell |
title_short | Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell |
title_sort | determination of the porosity distribution during an erosion test using a coaxial line cell |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387187/ https://www.ncbi.nlm.nih.gov/pubmed/30717143 http://dx.doi.org/10.3390/s19030611 |
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