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Abstract
An automated practical multi-objective optimisation scheme is proposed for ship hull modification. A shift transformation and a self-blending method are sequentially performed based on resistance objectives at multi-design speeds. The Lackenby variation alters hull forms and produces initial designs. Subsequently, self-blending method combines obtained ships to cover design space. All processes are automated by MATLAB coding that connects the ©Maxsurf modeller and ©Maxsurf Resistance in the case of panel method resistance calculation. After whole shape optimisation, the platform defines ship portions in the stern and bow regions. Particularly, an approximation modelling Least-Square approach is investigated to construct a surrogate model. Optimisation results indicate 11.26% cost function reduction contributes to 16.23% resistance reduction at lower speed and 6.12% resistance reduction at higher speed for a passenger catamaran boat. Thus, the developed in-house optimisation code provides an optimal and cost-effective solution for hydrodynamic optimisation in the preliminary stage of ship design.
| Original language | English |
|---|---|
| Pages (from-to) | 793-806 |
| Number of pages | 14 |
| Journal | Ships and Offshore Structures |
| Volume | 19 |
| Issue number | 6 |
| Early online date | 9 May 2023 |
| DOIs | |
| Publication status | Published - 2 Jun 2024 |
Funding
The TrAM project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant agreement No. 769303.
Keywords
- total resistance
- ship hull optimization
- Lackenby variation method
- self-blending method
- panel method
Fingerprint
Dive into the research topics of 'Establishment of a design study for comprehensive hydrodynamic optimisation in the preliminary stage of the ship design'. Together they form a unique fingerprint.Projects
- 1 Finished
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Transport: Advanced and Modular (TrAM) H2020
Boulougouris, E. (Principal Investigator) & Theotokatos, G. (Co-investigator)
European Commission - Horizon Europe + H2020
1/09/18 → 28/02/23
Project: Research