Predicting Yacht Performance in Waves Using a CFD Velocity Prediction Program
Doktorsavhandling, 2025
Författare
Adam Persson
Chalmers, Mekanik och maritima vetenskaper, Marin teknik
CFD prediction of steady and unsteady upwind sail aerodynamics
Ocean Engineering,;Vol. 141(2017)p. 543-554
Artikel i vetenskaplig tidskrift
An improved procedure for strongly coupled prediction of sailing yacht performance
Journal of Sailing Technology,;Vol. 6(2021)p. 133-150
Artikel i vetenskaplig tidskrift
A time-domain model for unsteady upwind sail aerodynamics using the indicial response method
Ocean Engineering,;Vol. 299(2024)
Artikel i vetenskaplig tidskrift
Persson, A., Larsson, L., Finnsgård, C., Predicting Sailing Yacht Performance in Waves with a CFD-VPP
A central part of the study and development of yachts is the so-called Velocity Prediction Program (VPP). This is computer software that can compute the various forces on the yacht hull, appendages and sails, and then balance these against each other, ultimately finding the attitude and speed of the yacht.
In this thesis, a variation of a VPP is developed, that uses Computational Fluid Dynamics to directly compute the forces induced by the water and waves, also considering the motion of the yacht, as the yacht is being towed by a virtual sail. In contrast to earlier examples of such methods, the virtual sail model also considers the influence of motions in detail. This leads to better predictions of the speed and behavior of a yacht sailing upwind in waves, which can in turn help sailors sail faster and smoother, as well as improving the design of future yachts.
Drivkrafter
Hållbar utveckling
Styrkeområden
Transport
Hälsa och teknik
Ämneskategorier (SSIF 2025)
Strömningsmekanik
Marinteknik
Farkost och rymdteknik
Infrastruktur
C3SE (-2020, Chalmers Centre for Computational Science and Engineering)
Chalmers e-Commons (inkl. C3SE, 2020-)
ISBN
978-91-8103-232-1
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5690
Utgivare
Chalmers
Vasa A, Vera Sandbergs Allé 8
Opponent: Kai Graf, University of Applied Sciences Kiel, Germany