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...

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Main Authors: Tilman Bittner, Mathieu Bajodek, Thierry Bore, Eric Vourc’h, Alexander Scheuermann
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/3/611
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author Tilman Bittner
Mathieu Bajodek
Thierry Bore
Eric Vourc’h
Alexander Scheuermann
author_facet Tilman Bittner
Mathieu Bajodek
Thierry Bore
Eric Vourc’h
Alexander Scheuermann
author_sort Tilman Bittner
collection DOAJ
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.
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spelling doaj.art-b2083531ab60438795dcb98439f3d55f2022-12-22T04:09:50ZengMDPI AGSensors1424-82202019-02-0119361110.3390/s19030611s19030611Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line CellTilman Bittner0Mathieu Bajodek1Thierry Bore2Eric Vourc’h3Alexander Scheuermann4School of Civil Engineering, University of Queensland, St Lucia, QLD 4072, AustraliaSchool of Civil Engineering, University of Queensland, St Lucia, QLD 4072, AustraliaSchool of Civil Engineering, University of Queensland, St Lucia, QLD 4072, AustraliaLaboratory of Systems and Applications of Information and Energy Technologies (SATIE UMR8029), ENS Paris Saclay, 94230 Cachan, FranceLaboratory of Systems and Applications of Information and Energy Technologies (SATIE UMR8029), ENS Paris Saclay, 94230 Cachan, FranceThe 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.https://www.mdpi.com/1424-8220/19/3/611time domain reflectometryporosity measurementsinversionsensor validationinternal erosion
spellingShingle Tilman Bittner
Mathieu Bajodek
Thierry Bore
Eric Vourc’h
Alexander Scheuermann
Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell
Sensors
time domain reflectometry
porosity measurements
inversion
sensor validation
internal erosion
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 time domain reflectometry
porosity measurements
inversion
sensor validation
internal erosion
url https://www.mdpi.com/1424-8220/19/3/611
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AT mathieubajodek determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell
AT thierrybore determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell
AT ericvourch determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell
AT alexanderscheuermann determinationoftheporositydistributionduringanerosiontestusingacoaxiallinecell