Sriram, V;
Saincher, Shaswat;
Yan, S;
Ma, QW;
(2024)
The past, present and future of multi-scale modelling applied to wave–structure interaction in ocean engineering.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 382
(2281)
, Article 20230316. 10.1098/rsta.2023.0316.
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Abstract
Concepts and evolution of multi-scale modelling from the perspective of wave–structure interaction have been discussed. In this regard, both domain and functional decomposition approaches have come into being. In domain decomposition, the computational domain is spatially segregated to handle the far-field using potential flow models and the near field using Navier–Stokes equations. In functional decomposition, the velocity field is separated into irrotational and rotational parts to facilitate identification of the free surface. These two approaches have been implemented alongside partitioned or monolithic schemes for modelling the structure. The applicability of multi-scale modelling approaches has been established using both mesh-based and meshless schemes. Owing to said diversity in numerical techniques, massively collaborative research has emerged, wherein comparative numerical studies are being carried out to identify shortcomings of developed codes and establish best-practices in numerical modelling. Machine learning is also being applied to handle large-scale ocean engineering problems. This paper reports on the past, present and future research consolidating the contributions made over the past 20 years. Some of these past as well as future research contributions have and shall be actualized through funding from the Newton International Fellowship as the next generation of researchers inherits the present-day expertise in multi-scale modelling.
Type: | Article |
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Title: | The past, present and future of multi-scale modelling applied to wave–structure interaction in ocean engineering |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1098/rsta.2023.0316 |
Publisher version: | http://dx.doi.org/10.1098/rsta.2023.0316 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Wave–structure interactions; numerical modelling; hybrid coupling; ML and AI |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10197148 |
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