Determination of the Porosity Distribution during an Erosion Test Using a Coaxial Line Cell.

internal erosion inversion porosity measurements sensor validation time domain reflectometry

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
01 Feb 2019
Historique:
received: 06 12 2018
revised: 24 01 2019
accepted: 29 01 2019
entrez: 6 2 2019
pubmed: 6 2 2019
medline: 6 2 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 30717143
pii: s19030611
doi: 10.3390/s19030611
pmc: PMC6387187
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Sensors (Basel). 2016 Apr 18;16(4):null
pubmed: 27096865
Sensors (Basel). 2018 Nov 01;18(11):null
pubmed: 30388859
Sensors (Basel). 2018 Nov 14;18(11):null
pubmed: 30441820

Auteurs

Tilman Bittner (T)

School of Civil Engineering, University of Queensland, St Lucia, QLD 4072, Australia. t.bore@uq.edu.au.

Mathieu Bajodek (M)

School of Civil Engineering, University of Queensland, St Lucia, QLD 4072, Australia. mathieu.bajodek@ens-cachan.fr.
Laboratory of Systems and Applications of Information and Energy Technologies (SATIE UMR8029), ENS Paris Saclay, 94230 Cachan, France. mathieu.bajodek@ens-cachan.fr.

Thierry Bore (T)

School of Civil Engineering, University of Queensland, St Lucia, QLD 4072, Australia. t.bore@uq.edu.au.

Eric Vourc'h (E)

Laboratory of Systems and Applications of Information and Energy Technologies (SATIE UMR8029), ENS Paris Saclay, 94230 Cachan, France. Eric.Vourch@satie.ens-cachan.fr.

Alexander Scheuermann (A)

Laboratory of Systems and Applications of Information and Energy Technologies (SATIE UMR8029), ENS Paris Saclay, 94230 Cachan, France. a.scheuermann@uq.edu.au.

Classifications MeSH