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The past, present and future of multi-scale modelling applied to wave-structure interaction in ocean engineering
V Sriram1,2, Shaswat Saincher1, S Yan3
1Department of Ocean Engineering, Indian Institute of Technology Madras , Chennai, India.
This review explores multi-scale modeling for wave-structure interaction, detailing domain and functional decomposition methods. It highlights collaborative research and machine learning applications in ocean engineering over 20 years.
Area of Science:
- Ocean Engineering
- Computational Fluid Dynamics
- Wave-Structure Interaction
Background:
- Multi-scale modeling is crucial for complex wave-structure interactions.
- Existing methods include domain and functional decomposition approaches.
Purpose of the Study:
- To review the evolution and application of multi-scale modeling in wave-structure interaction over the past 20 years.
- To consolidate past, present, and future research contributions.
- To discuss the role of collaborative research and machine learning.
Main Methods:
- Domain decomposition: spatial segregation for far-field (potential flow) and near-field (Navier-Stokes).
- Functional decomposition: separating velocity fields for free surface identification.
- Implementation with partitioned/monolithic schemes and mesh-based/meshless methods.
Main Results:
- Established applicability of multi-scale modeling across diverse numerical techniques.
- Identified the need for comparative studies to establish best practices.
- Highlighted the emerging role of machine learning in large-scale ocean engineering.
Conclusions:
- Multi-scale modeling has significantly advanced wave-structure interaction research.
- Collaborative efforts and machine learning are key for future progress.
- The Newton International Fellowship supports the next generation of researchers in this field.
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