Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bittner, Tilman, Bajodek, Mathieu, Bore, Thierry, Vourc’h, Eric, Scheuermann, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783397515851202560
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
work_keys_str_mv AT bittnertilman determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell
AT bajodekmathieu determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell
AT borethierry determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell
AT vourcheric determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell
AT scheuermannalexander determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell