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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/11/12/2314 |
| _version_ | 1797380444681928704 |
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| author | Ellie Newell Sergio Maldonado |
| author_facet | Ellie Newell Sergio Maldonado |
| author_sort | Ellie Newell |
| collection | DOAJ |
| description | 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 <i>morfac</i>) 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 <i>morfac</i>, with our algorithm-accelerated simulations being on average 2.6 times faster than <i>morfac</i>. 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. |
| first_indexed | 2024-03-08T20:38:25Z |
| format | Article |
| id | doaj.art-f11d7d24220d486f928d6de4f35e3ed6 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-08T20:38:25Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-f11d7d24220d486f928d6de4f35e3ed62023-12-22T14:18:54ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-12-011112231410.3390/jmse11122314Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed EvolutionEllie Newell0Sergio Maldonado1School of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO16 7QF, UKSchool of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO16 7QF, UKDue 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 <i>morfac</i>) 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 <i>morfac</i>, with our algorithm-accelerated simulations being on average 2.6 times faster than <i>morfac</i>. 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.https://www.mdpi.com/2077-1312/11/12/2314morphodynamicsbeach profileaccelerationsimulation |
| spellingShingle | Ellie Newell Sergio Maldonado Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed Evolution Journal of Marine Science and Engineering morphodynamics beach profile acceleration simulation |
| title | Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed Evolution |
| title_full | Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed Evolution |
| title_fullStr | Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed Evolution |
| title_full_unstemmed | Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed Evolution |
| title_short | Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed Evolution |
| title_sort | acceleration of morphodynamic simulations based on local trends in the bed evolution |
| topic | morphodynamics beach profile acceleration simulation |
| url | https://www.mdpi.com/2077-1312/11/12/2314 |
| work_keys_str_mv | AT ellienewell accelerationofmorphodynamicsimulationsbasedonlocaltrendsinthebedevolution AT sergiomaldonado accelerationofmorphodynamicsimulationsbasedonlocaltrendsinthebedevolution |