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Modelling multiple yacht sailing interactions between upwind sailing yachts

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Abstract

An approach for enhancing the realism of yacht fleet race simulations based on a lifting line method is developed. The wake of an upwind sailing yacht is represented as a single heeled horseshoe vortex and image system. At each time step, changes in vortex strength are convected into the wake as a pair of vortex line elements. These subsequently move in accordance with the local wind, the self-induced velocity and the velocity induced by the presence of the wakes of other yachts. In addition, the lifting line model has a model for the viscous wake due to the drag associated with the yacht and its sails superimposed on it. A synthesis of sail yacht wake representations based on detailed 3D Reynolds-averaged Navier–Stokes computational fluid dynamics calculations with wind tunnel test results is used to capture the initial strength of the combined main-jib vortex system and its vertical height. The implementation of the lifting line algorithm within Robo-Race, a real-time yacht race strategy analysis tool, is described. Two upwind race interaction case studies are presented, and these show that the newly implemented wake model makes an important contribution to enhancing the realism of the sailing simulation.

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Abbreviations

ACC:

America’s Cup class

AI:

Artificial intelligence

AoA:

Angle of attack

AWA:

Apparent wind angle

CFD:

Computational fluid dynamics

C L, C D :

Lift and drag coefficient

D :

Displacement vector

L :

Sail rig and yacht length

LLM:

Lifting line method

NB, NBI:

Real and image bottom nodes

NT, NTI:

Real and image top nodes

NWM:

New wake model

PM:

Philpott’s model

q :

Variance of the random wind components

Q :

Induced velocity vector

r :

Radial distance

RANS:

Reynolds-averaged Navier–Stokes

S :

Sail area

SST:

Shear stress transport

TWA:

True wind angle

TWS:

True wind speed

u, v, w :

Induced velocities in the x-, y-, z-directions

U AW :

Apparent wind velocity

U o :

Freestream velocity

U θ :

Tangential velocity

U viscous :

Viscous velocity

YL:

Yacht lengths

Γ i :

Vortex strength of element i

λ :

Distance along vortex element

ρ air :

Density of air

σ i :

Vortex core size

Θ:

Momentum thickness

θ :

Interval boundary angle

ω :

Vorticity

References

  1. Scarponi M (2008) Including human performance in the dynamic model of a sailing yacht: a combined ship science—behavioural science approach towards a winning yacht-sailor combination (Ph.D. thesis). Università di Perugia, Perugia

  2. Scarponi M, Shenoi RA, Turnock SR, Conti P (2007) A combined ship science behavioural science approach to create a winning yacht–sailor combination. In: 18th Chesapeake Sailing Yacht Symp, Annapolis, MD, USA, 2–3 March 2007, pp 1–10

  3. Parolini N, Quarteroni A (2005) Mathematical models and numerical simulations for the America’s Cup. Comput. Methods Appl Mech Eng 194:1001–1026

    Article  MATH  MathSciNet  Google Scholar 

  4. Philpott A, Henderson SG, Teirney DP (2004) A simulation model for predicting yacht match-race outcomes. Oper Res 52(1):1–16

    Article  MATH  Google Scholar 

  5. Roncin K, Kobus JM (2004) Dynamic simulation of two sailing boats in match racing. Sports Eng 7(3):139–152 (Springer London)

    Article  Google Scholar 

  6. Caponnetto M (1997) The aerodynamic interference between two boats sailing close-hauled. Int Shipbuild Progr 44(439):241–256

    Google Scholar 

  7. Nivelleau V, Nivelleau F (1994) Sillage aérodynamique du voilier—Cartographie générale du sillage—Etude locale (girouette)—interaction de deux voiliers. St-Cyr-l’Ecole, Paris

  8. Caponnetto M, Castelli A, Bonjour B, Mathey PL, Sanchi M, Sawley ML (1999) Sailing yacht design using advanced numerical flow techniques. In: 14th Chesapeake Sailing Yacht Symp, Annapolis, MD, USA, 29–30 Jan 1999, pp 97–104

  9. Euerle SE, Greeley DS (1993) Toward a rational upwind sailing force model for VPPs. In: 11th Chesapeake Sailing Yacht Symp, Annapolis, MD, USA, Jan 1993, pp 75–86

  10. Sugitomo T (1999) A method for optimising sail design. Sports Eng 2:35–48

    Article  Google Scholar 

  11. Katz J, Plotkin A (2001) Low-speed aerodynamics, 2nd edn. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  12. Morozov VV, Kalyadina TV (2008) Green’s model of cylindrical vortex decay. Comput Math Model 19(2):186–194

    Article  MATH  MathSciNet  Google Scholar 

  13. Jackson W (ed) (2001) Wake vortex prediction—an overview. Transportation Development Centre/Transport Canada, Ottawa

  14. Tennekes H, Lumley JL (1972) A first course in turbulence. MIT Press, Cambridge

    Google Scholar 

  15. Spenkuch T, Turnock SR, Wright AM, Shenoi RA (2008) The use of CFD in modelling blanketing effects for yacht race simulations. In: Numerical Towing Tank Symp, Brest, France, 7–9 Sept 2008

  16. Spenkuch T, Turnock SR, Scarponi M, Shenoi RA (2008) Lifting line method for modelling covering and blanketing effects in yacht fleet race simulation. In: 3rd High Performance Yacht Design Conf, Auckland, New Zealand, 2–4 Dec 2008

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Correspondence to Thomas Spenkuch.

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Spenkuch, T., Turnock, S.R., Scarponi, M. et al. Modelling multiple yacht sailing interactions between upwind sailing yachts. J Mar Sci Technol 16, 115–128 (2011). https://doi.org/10.1007/s00773-010-0115-9

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  • DOI: https://doi.org/10.1007/s00773-010-0115-9

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