The University of Southampton
University of Southampton Institutional Repository

X-ray computed tomography to measure bed density in sand transport

X-ray computed tomography to measure bed density in sand transport
X-ray computed tomography to measure bed density in sand transport

This paper reports a new experimental method applying medical X-ray computed tomography (CT) to estimate the bed load in sand transport. A set of current-generated sand ripple experiments were conducted in a small hydraulic flume inserted in the CT scanner. The methodology is based on the measurements of height, velocity, and density of bed forms to estimate bed load. A temporal series of bed topography is first extracted from the CT scan images. The velocity is estimated by tracking the displacement of bed forms from two successive bed topographies. The sand bed density (ρsb) is estimated from the CT scan measurements using a calibration technique. The method measuring ρsb to calculate bed load is validated comparing measurements made with sand traps. The advantages and limitations of the CT method applied to bed-load transport are discussed.

bedload transport, desnity, sediment transport, sedimentary bedforms, x-ray computed tomography
0733-9429
06022017-1
Brunelle, Corinne
96a5cc5f-f6b3-4db2-b93a-ff9d8996a638
Francus, Pierre
d4f2ac4f-4ddb-4ac8-a815-9f15ae205ae7
Camenen, Benoît
8098fd96-84a7-44e1-9b78-c6254f8562b2
Amos, Carl
d0a18a13-bccd-4fdc-8901-aea595d4ed5c
Des Roches, Mathieu
ab329edd-9ff4-44eb-9feb-b64cdc46fca7
Perret, Emeline
89b71341-7240-4a81-b71a-9e5da3cff400
Kassem, Hachem
658efa7a-a02c-4b29-9d07-5d57e95a4b51
Daigle, Louis-Frédéric
8bc06141-0a5b-4f39-a533-99e60ff7ab11
Després, Philippe
7b6de351-913d-42d5-8f7a-04687360dc18
Brunelle, Corinne
96a5cc5f-f6b3-4db2-b93a-ff9d8996a638
Francus, Pierre
d4f2ac4f-4ddb-4ac8-a815-9f15ae205ae7
Camenen, Benoît
8098fd96-84a7-44e1-9b78-c6254f8562b2
Amos, Carl
d0a18a13-bccd-4fdc-8901-aea595d4ed5c
Des Roches, Mathieu
ab329edd-9ff4-44eb-9feb-b64cdc46fca7
Perret, Emeline
89b71341-7240-4a81-b71a-9e5da3cff400
Kassem, Hachem
658efa7a-a02c-4b29-9d07-5d57e95a4b51
Daigle, Louis-Frédéric
8bc06141-0a5b-4f39-a533-99e60ff7ab11
Després, Philippe
7b6de351-913d-42d5-8f7a-04687360dc18

Brunelle, Corinne, Francus, Pierre, Camenen, Benoît, Amos, Carl, Des Roches, Mathieu, Perret, Emeline, Kassem, Hachem, Daigle, Louis-Frédéric and Després, Philippe (2022) X-ray computed tomography to measure bed density in sand transport. Journal of Hydraulic Engineering, 148 (12), 06022017-1, [06022017]. (doi:10.1061/(ASCE)HY.1943-7900.0002025).

Record type: Article

Abstract

This paper reports a new experimental method applying medical X-ray computed tomography (CT) to estimate the bed load in sand transport. A set of current-generated sand ripple experiments were conducted in a small hydraulic flume inserted in the CT scanner. The methodology is based on the measurements of height, velocity, and density of bed forms to estimate bed load. A temporal series of bed topography is first extracted from the CT scan images. The velocity is estimated by tracking the displacement of bed forms from two successive bed topographies. The sand bed density (ρsb) is estimated from the CT scan measurements using a calibration technique. The method measuring ρsb to calculate bed load is validated comparing measurements made with sand traps. The advantages and limitations of the CT method applied to bed-load transport are discussed.

Text
Technical note: X-ray computed tomography to measure bed density in sand transport - Accepted Manuscript
Restricted to Repository staff only
Request a copy
Text
(ASCE)HY.1943-7900.0002025 - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 19 July 2019
e-pub ahead of print date: 6 October 2022
Published date: 6 October 2022
Keywords: bedload transport, desnity, sediment transport, sedimentary bedforms, x-ray computed tomography

Identifiers

Local EPrints ID: 470404
URI: http://eprints.soton.ac.uk/id/eprint/470404
ISSN: 0733-9429
PURE UUID: e7cd111c-e1f8-4f4a-88f0-e8b763acdf62
ORCID for Hachem Kassem: ORCID iD orcid.org/0000-0002-5936-6037

Catalogue record

Date deposited: 10 Oct 2022 16:42
Last modified: 17 Mar 2024 03:33

Export record

Altmetrics

Contributors

Author: Corinne Brunelle
Author: Pierre Francus
Author: Benoît Camenen
Author: Carl Amos
Author: Mathieu Des Roches
Author: Emeline Perret
Author: Hachem Kassem ORCID iD
Author: Louis-Frédéric Daigle
Author: Philippe Després

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×