Predicting Yacht Performance in Waves Using a CFD Velocity Prediction Program
Doktorsavhandling, 2025

This thesis describes the development of a CFD-VPP procedure for predicting the performance and time-history of motions and forces on a yacht sailing upwind in regular waves. It is the first 6DOF CFD-VPP procedure to handle incoming, quartering waves, and the first CFD-VPP procedure to include a comprehensive unsteady aerodynamics model. In order to accomplish this, modern CFD capabilities and techniques have been utilised to handle the large motions experienced by a yacht while maintaining grid quality and reasonable computational effort, resulting in a state of the art simulation setup. A number of sub-studies have been undertaken, concerning unsteady aerodynamic effects on sails, the prediction of the unsteady sail forces using CFD, as well as the development of a low-order model for this. The low-order unsteady sail force model is capable of handling arbitrary motions, and has been shown to result in improved prediction of the sail forces for a three-dimensional, pitching sail plan. The unsteady sail force model has been coupled to the CFD-solver, and subsequently used to predict the dynamics of a yacht sailing upwind in quartering waves. A single upwind sailing case has been simulated, using the unsteady sail force model as well as a conventional quasi-static sail force model. The differences in the dynamics predicted by the two models have been analysed, shedding light on the complex interactions that occur as a yacht encounters waves, and proving the relevance of the procedure developed in this thesis to the study of sailing in waves. The results reveal significant differences in average boat speed, in turn driven by differences in the dynamics in roll, affecting the yaw balance and ultimately, the rudder angle and resistance components associated with the rudder.

Vasa A, Vera Sandbergs Allé 8
Opponent: Kai Graf, University of Applied Sciences Kiel, Germany

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

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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

As all sailors are aware, even coastal waters can have considerable waves, challenging the sailors facing them and reducing the speed of the yacht. However, what is instinctively known by all sailors, has for a long time been neglected by most of the scientific studies of sailing yachts and their behavior. This thesis aims to develop a computer simulation method that can be used to shed light on the interaction between yachts and the waves they encounter at sea.

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

Mer information

Senast uppdaterat

2025-05-12