The University of Southampton
University of Southampton Institutional Repository

Acceleration of morphodynamic simulations Based on local trends in the bed evolution

Acceleration of morphodynamic simulations Based on local trends in the bed evolution
Acceleration of morphodynamic simulations Based on local trends in the bed evolution
Due to the significant mismatch in timescales associated with morphological and hydrodynamic processes in coastal environments, modellers typically resort to various techniques for speeding up the bed evolution in morphodynamic simulations. In this paper, we propose a novel method that differs from existing ones in several aspects. For example, unlike previous approaches that apply a global measure (such as a constant acceleration factor that uniformly amplifies the bed evolution everywhere), we track and extrapolate local trends in morphological changes. The present algorithm requires the setting of four different parameters, values for which we set through an extensive calibration process. The proposed method is compared against the simple acceleration technique built into the popular software XBeach (wherein it is called morfac) for eight different beach profiles (including linear, Dean, and measured profiles). While the accuracy of both methods is generally similar, the proposed algorithm consistently shows a greater reduction in computational time relative to morfac, with our algorithm-accelerated simulations being on average 2.6 times faster than morfac. In light of these results, and considering the algorithm’s potential for easy generalisation to address arbitrary coastal morphodynamic problems, we believe that this method represents an important addition to the toolbox available to the community interested in coastal modelling.
acceleration, beach profile, morphodynamics, simulation
Newell, Ellie
9361a309-19dd-4e82-aba2-caaa1b365099
Maldonado, Sergio
b303ef8c-52d6-40ed-bf48-59efb4265a85
Newell, Ellie
9361a309-19dd-4e82-aba2-caaa1b365099
Maldonado, Sergio
b303ef8c-52d6-40ed-bf48-59efb4265a85

Newell, Ellie and Maldonado, Sergio (2023) Acceleration of morphodynamic simulations Based on local trends in the bed evolution. Journal of Marine Science and Engineering, 11 (12), [2314]. (doi:10.3390/jmse11122314).

Record type: Article

Abstract

Due to the significant mismatch in timescales associated with morphological and hydrodynamic processes in coastal environments, modellers typically resort to various techniques for speeding up the bed evolution in morphodynamic simulations. In this paper, we propose a novel method that differs from existing ones in several aspects. For example, unlike previous approaches that apply a global measure (such as a constant acceleration factor that uniformly amplifies the bed evolution everywhere), we track and extrapolate local trends in morphological changes. The present algorithm requires the setting of four different parameters, values for which we set through an extensive calibration process. The proposed method is compared against the simple acceleration technique built into the popular software XBeach (wherein it is called morfac) for eight different beach profiles (including linear, Dean, and measured profiles). While the accuracy of both methods is generally similar, the proposed algorithm consistently shows a greater reduction in computational time relative to morfac, with our algorithm-accelerated simulations being on average 2.6 times faster than morfac. In light of these results, and considering the algorithm’s potential for easy generalisation to address arbitrary coastal morphodynamic problems, we believe that this method represents an important addition to the toolbox available to the community interested in coastal modelling.

Text
jmse-11-02314 - Version of Record
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 3 December 2023
e-pub ahead of print date: 7 December 2023
Published date: December 2023
Additional Information: Publisher Copyright: © 2023 by the authors.
Keywords: acceleration, beach profile, morphodynamics, simulation

Identifiers

Local EPrints ID: 485527
URI: http://eprints.soton.ac.uk/id/eprint/485527
PURE UUID: 65f384d3-5c78-4013-81b9-afa4e6f8fb4d
ORCID for Sergio Maldonado: ORCID iD orcid.org/0000-0001-6072-122X

Catalogue record

Date deposited: 08 Dec 2023 17:32
Last modified: 18 Mar 2024 03:42

Export record

Altmetrics

Contributors

Author: Ellie Newell

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.

×