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
December 2023
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).
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.
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jmse-11-02314
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Accepted/In Press date: 3 December 2023
e-pub ahead of print date: 7 December 2023
Published date: December 2023
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© 2023 by the authors.
Keywords:
acceleration, beach profile, morphodynamics, simulation
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Local EPrints ID: 485527
URI: http://eprints.soton.ac.uk/id/eprint/485527
PURE UUID: 65f384d3-5c78-4013-81b9-afa4e6f8fb4d
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Date deposited: 08 Dec 2023 17:32
Last modified: 18 Mar 2024 03:42
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Author:
Ellie Newell
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