Predicting Yacht Performance in Waves Using a CFD Velocity Prediction Program
Doctoral thesis, 2025
Author
Adam Persson
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
CFD prediction of steady and unsteady upwind sail aerodynamics
Ocean Engineering,;Vol. 141(2017)p. 543-554
Journal article
An improved procedure for strongly coupled prediction of sailing yacht performance
Journal of Sailing Technology,;Vol. 6(2021)p. 133-150
Journal article
A time-domain model for unsteady upwind sail aerodynamics using the indicial response method
Ocean Engineering,;Vol. 299(2024)
Journal article
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.
Driving Forces
Sustainable development
Areas of Advance
Transport
Health Engineering
Subject Categories (SSIF 2025)
Fluid Mechanics
Marine Engineering
Vehicle and Aerospace Engineering
Infrastructure
C3SE (-2020, Chalmers Centre for Computational Science and Engineering)
Chalmers e-Commons (incl. C3SE, 2020-)
ISBN
978-91-8103-232-1
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5690
Publisher
Chalmers
Vasa A, Vera Sandbergs Allé 8
Opponent: Kai Graf, University of Applied Sciences Kiel, Germany