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1 J. Craig Mudge ee380 Stanford University 2/19/2003 Computer technology in America’s Cup Yacht Racing Dr. J. Craig Mudge Pacific Challenge ee380 Colloquium Computer Systems Laboratory Stanford University Feb 19, 2003 www.pacific-challenge.com

Computer technology in America’s Cup Yacht Racing

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Computer technology in America’s Cup Yacht Racing. Dr. J. Craig Mudge Pacific Challenge ee380 Colloquium Computer Systems Laboratory Stanford University Feb 19, 2003. www.pacific-challenge.com. 6 legs in America’s Cup course. Alinghi Race 2:-. How a sailboat moves ahead. Downwind - PowerPoint PPT Presentation

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Page 1: Computer technology in America’s Cup Yacht Racing

1J. Craig Mudge ee380 Stanford University 2/19/2003

Computer technology in America’s Cup

Yacht Racing

Dr. J. Craig MudgePacific Challenge

ee380 Colloquium Computer Systems Laboratory

Stanford University Feb 19, 2003

www.pacific-challenge.com

Page 2: Computer technology in America’s Cup Yacht Racing

2J. Craig Mudge ee380 Stanford University 2/19/2003

Page 3: Computer technology in America’s Cup Yacht Racing

3J. Craig Mudge ee380 Stanford University 2/19/2003

6 legs in America’s Cup course

TimeMin:sec

Delta in seconds

Start 0

1 26:11 12

2 24:14 -34

3 26:37 -26

4 22:43 -14

5 27:33 -26

finish 25:43 7

Alinghi Race 2:-

Page 4: Computer technology in America’s Cup Yacht Racing

4J. Craig Mudge ee380 Stanford University 2/19/2003

How a sailboat moves ahead

• Downwind– Push on sails

• Upwind – Lift from sails– Lift from keel

• Context – Changes in wind strength and direction– Changes in wave shape, direction, and frequency

Page 5: Computer technology in America’s Cup Yacht Racing

5J. Craig Mudge ee380 Stanford University 2/19/2003

Defender vs Challenger Video clips of last couple of days racing - what to watch for

Page 6: Computer technology in America’s Cup Yacht Racing

6J. Craig Mudge ee380 Stanford University 2/19/2003

Page 7: Computer technology in America’s Cup Yacht Racing

7J. Craig Mudge ee380 Stanford University 2/19/2003

Elementary theory

Leeway angle

Aerodynamic forces from sails

hydrodynamic

Lift dragLift drag (or resistance)

Page 8: Computer technology in America’s Cup Yacht Racing

8J. Craig Mudge ee380 Stanford University 2/19/2003

Tacking up wind

The boat that sails at an angle “closer to the wind”gets upwind faster

Wind directionZig-zagging up wind towards our destination

Page 9: Computer technology in America’s Cup Yacht Racing

9J. Craig Mudge ee380 Stanford University 2/19/2003

Polar representations of boat speed

20

510

Radial representation of Boat speed at different true wind angles for one windspeed

(Adapted from 12 metre designed by S Killing)

Page 10: Computer technology in America’s Cup Yacht Racing

10J. Craig Mudge ee380 Stanford University 2/19/2003

A list of computer usesArea Type

Design of hull Hydrodynamic modeling (to reduce drag)Hull appendages Hydrodynamic modeling (lift and drag)Design of sails Aerodynamic modeling; photogrammaticComputational Fluid Dynamics (CFD)

Modeling, analysis, and visualization – sails, hulls, appendages

Two boat testing Data collection and data managementNavigation/tactics/ strategy

Performance parameters; predictions for next leg

Campaign Project/financial management, travel, web site

Weather Forecast wind patterns for each raceSports media Visualization of race course from telemetry

Page 11: Computer technology in America’s Cup Yacht Racing

11J. Craig Mudge ee380 Stanford University 2/19/2003

AcknowledgementsJim Antrim, naval architectRichard Burton, sailor and computer scientistMargot Gerritsen, Computational Fluid Dynamics (CFD) specialist, Stanford Yacht ResearchStan Honey, record-breaking navigatorOlivier Le Diouris, sailor and software engineerEric Steinberg, electronics on America True Brian Tramontana, PARC multimedia

* ESPN for video clips* americascup.yahoo.com for photos* Virtual Spectator for screenshots of race course

Page 12: Computer technology in America’s Cup Yacht Racing

12J. Craig Mudge ee380 Stanford University 2/19/2003

Outline

Hull design- both canoe body and appendages

Sail designMaterials - hull and sailsTwo-boat tuningWinning races

Page 13: Computer technology in America’s Cup Yacht Racing

13J. Craig Mudge ee380 Stanford University 2/19/2003

Adding heeling/righting moments to two forces

Leeway angle

Aerodynamic forces from sails

hydrodynamic

Heeling Righting Lift DragLift Drag (or resistance)

AerodynamicHeelingmoment

Hydro-mechanicalRightingmoment

Page 14: Computer technology in America’s Cup Yacht Racing

14J. Craig Mudge ee380 Stanford University 2/19/2003

Lateral stability

Heeling moment from sails

Lead ballast is placed in the lower portion of the keel.

Extreme ballast from bulb (20 tons of a 24 ton IACC boat)

Page 15: Computer technology in America’s Cup Yacht Racing

15J. Craig Mudge ee380 Stanford University 2/19/2003

Alternative to lead bulb for righting moment

Sydney Harbour 18 ft skiffs

Page 16: Computer technology in America’s Cup Yacht Racing

16J. Craig Mudge ee380 Stanford University 2/19/2003

More 18 ft skiffs from Sydney

A very influential design - on modern racing yachts - on latest Olympic class (49er)

Yendys 1924

Page 17: Computer technology in America’s Cup Yacht Racing

17J. Craig Mudge ee380 Stanford University 2/19/2003

Newer IACC boats are much narrower

Page 18: Computer technology in America’s Cup Yacht Racing

18J. Craig Mudge ee380 Stanford University 2/19/2003

Resistance components - upwindup

right Wave

(pushing the water)

Viscous(friction from wetted surface)

heel

ed Added wavesInduced (from leeway)

Heel(extra viscous+wave)

(Fig 5.4, Larsson, 2000)

Page 19: Computer technology in America’s Cup Yacht Racing

19J. Craig Mudge ee380 Stanford University 2/19/2003

Appendages: side force and resistance

Side force (also called Lift)From both keel and rudder

Lift/drag tradeoffAspect ratioBulb shapeTurbulence

Tip vortices if depth is limited End wall not practical, so Winglets used

Winglets also provide lift when boat heeled

Page 20: Computer technology in America’s Cup Yacht Racing

20J. Craig Mudge ee380 Stanford University 2/19/2003

Surface pressure and Streamlines around bulb

From M Sawley (2002) at Switzerland’s EPFL, in Lausanne, an advisor to Alinghi

Page 21: Computer technology in America’s Cup Yacht Racing

21J. Craig Mudge ee380 Stanford University 2/19/2003

An overview of numerical modeling in yacht design

• Fundamental tool is a predictor of performance to compare different designs – Called a VPP (Velocity Prediction Program) -- since early 70s – Given a wind speed and wind angle, a VPP predicts boat

speed, heel, and leeway

Page 22: Computer technology in America’s Cup Yacht Racing

22J. Craig Mudge ee380 Stanford University 2/19/2003

(Milgram, 1998)

Modeling boat speed - VPP

Page 23: Computer technology in America’s Cup Yacht Racing

23J. Craig Mudge ee380 Stanford University 2/19/2003

An overview of numerical modeling in yacht design

• Fundamental tool is a predictor of performance to compare different designs – Called a VPP (Velocity Prediction Program) -- since early 70s – Given a wind speed and wind angle, a VPP predicts boat

speed, heel, and leeway• The balance equations are solved

– Keel lift and side force– Sails lift and drag– Overturning moment

• Modeling these forces in the balance equations is (currently) approximate – Navier Stokes equations (set of differential equations governing the motion

of a fluid) are central part – Models are combination of empirically based and approx of N-S equations

Page 24: Computer technology in America’s Cup Yacht Racing

24J. Craig Mudge ee380 Stanford University 2/19/2003

Overall Hull Design process

1. Decide range of wind strength, sea state

2. Coarse exploration of shapes by numerical modeling, incl CFD

3. Then tank testing4. Then build one real thing5. Refine with two-boat testing

Page 25: Computer technology in America’s Cup Yacht Racing

25J. Craig Mudge ee380 Stanford University 2/19/2003

An overview of numerical modeling in yacht design …contd.

Computational Fluid Dynamics (CFD)

RANS (Reynolds-Averaged Navier-Stokes) is a more computationally tractable form of the N-S equations.

In RANS, the flow variables are split into one time-averaged (mean) part, and one turbulent part. The mean values are solved. And the turbulent part is expressed in terms of the mean part.

Page 26: Computer technology in America’s Cup Yacht Racing

26J. Craig Mudge ee380 Stanford University 2/19/2003

An overview of numerical modeling in yacht design …contd.

SGI Origin 3800 128 MIPS R14000 Pc (500Mhz; 64 GB RAM)

Swiss T1 64 DEC Alpha ev6 Pc (500 Mhz; 32GB RAM)

Dell Precision 530 2 Pentium Xeon Pc (1.7 GHz, 2GB RAM)

Largest RANS simulations: 5 million mesh cells: 10 hours on 16 Pc

c.f. AC2000 campaign: 2 million mesh cells: 10 hours on 12 Pc Origin 2000

Typical computer resources are these at EPFL, Lausanne

Page 27: Computer technology in America’s Cup Yacht Racing

27J. Craig Mudge ee380 Stanford University 2/19/2003

Unveiling January 7, 2003 Alinghi

Oracle

Page 28: Computer technology in America’s Cup Yacht Racing

28J. Craig Mudge ee380 Stanford University 2/19/2003

Different winglet configurations and bulb shapes

Page 29: Computer technology in America’s Cup Yacht Racing

29J. Craig Mudge ee380 Stanford University 2/19/2003

Different winglet configurations and bulb shapes

Oracle

Alinghi

Team NZ

(based on photos at the unveiling 1/7/03)

Page 30: Computer technology in America’s Cup Yacht Racing

30J. Craig Mudge ee380 Stanford University 2/19/2003

Universities working in yacht design• University of Auckland• Technical University of Berlin• Chalmers University of Technology• Kiel University• EPFL, Lausanne, Switzerland• MIT• University of Maryland• University of Michigan• University of Southampton• Stanford Yacht Research• Center for Turbulence Research, Stanford

Page 31: Computer technology in America’s Cup Yacht Racing

31J. Craig Mudge ee380 Stanford University 2/19/2003

Outline

Hull design

Sail designMaterialsTwo-boat tuningWinning races

Page 32: Computer technology in America’s Cup Yacht Racing

32J. Craig Mudge ee380 Stanford University 2/19/2003

Positioning and shapingCrew positions the sails according to required angle of attack

- from polars

Sailors shape the sail using control lines attached to the edge of a sail

Page 33: Computer technology in America’s Cup Yacht Racing

33J. Craig Mudge ee380 Stanford University 2/19/2003

What is the right shape?• Sailmaker designs each sail for a range of

wind strength and wave type. (Sailor selects a sail from the suite, according to expected conditions.)

• Want nice laminar flow, without separation and turbulence

• Lift vs drag curve; polars again

• Both wind tunnels and CFD used

Page 34: Computer technology in America’s Cup Yacht Racing

34J. Craig Mudge ee380 Stanford University 2/19/2003

Vertical characteristics of wind

As we go from deck to top of mast, the wind increases in strength and apparent direction

Has implications for both sail designers and sailors (sail trimming)

8

7

5

Apparent wind is the wind we feel on the boat, as opposed to the true wind.

Page 35: Computer technology in America’s Cup Yacht Racing

35J. Craig Mudge ee380 Stanford University 2/19/2003

Design of downwind sails

Page 36: Computer technology in America’s Cup Yacht Racing

36J. Craig Mudge ee380 Stanford University 2/19/2003

Wind tunnels in sail design University of Auckland Twisted Flow Wind Tunnel

Courtesy U Auckland,Seahorse magazine

Page 37: Computer technology in America’s Cup Yacht Racing

37J. Craig Mudge ee380 Stanford University 2/19/2003

Outline

Hull designSail design

Materials - hull, sails, and rigTwo-boat tuningWinning races

Page 38: Computer technology in America’s Cup Yacht Racing

38J. Craig Mudge ee380 Stanford University 2/19/2003

Ocean racers have to be stronger

Courtesy Richard Bennett

Page 39: Computer technology in America’s Cup Yacht Racing

39J. Craig Mudge ee380 Stanford University 2/19/2003

Forces on rig and hull

Page 40: Computer technology in America’s Cup Yacht Racing

40J. Craig Mudge ee380 Stanford University 2/19/2003

Page 41: Computer technology in America’s Cup Yacht Racing

41J. Craig Mudge ee380 Stanford University 2/19/2003

Prominent logo of sponsor

Page 42: Computer technology in America’s Cup Yacht Racing

42J. Craig Mudge ee380 Stanford University 2/19/2003

OneAustralia 1995

Page 43: Computer technology in America’s Cup Yacht Racing

43J. Craig Mudge ee380 Stanford University 2/19/2003

Older sail material

Courtesy: Mariners’ Museum

Page 44: Computer technology in America’s Cup Yacht Racing

44J. Craig Mudge ee380 Stanford University 2/19/2003

Materials and shapingFlax Cotton Japara silk various polyesters (with or without film) (Kevlar is the best known of the aramid fibers) Carbon

Desired 3D shape in CAD model

Panel shape Mold shape

Sew panels Apply layers (liquid/fiber)

Page 45: Computer technology in America’s Cup Yacht Racing

45J. Craig Mudge ee380 Stanford University 2/19/2003

Improved sail shape with modern materials

Page 46: Computer technology in America’s Cup Yacht Racing

46J. Craig Mudge ee380 Stanford University 2/19/2003

Novel designs

Lexcen keelOracle kiteCanting keel

Page 47: Computer technology in America’s Cup Yacht Racing

47J. Craig Mudge ee380 Stanford University 2/19/2003

Ben Lexcen’s winged keel 1983C

ourte

sy:

Ros

enfe

ld

Page 48: Computer technology in America’s Cup Yacht Racing

48J. Craig Mudge ee380 Stanford University 2/19/2003

Oracle kite

Page 49: Computer technology in America’s Cup Yacht Racing

49J. Craig Mudge ee380 Stanford University 2/19/2003

Canting keel and canard

(Reichel-Puch, Dynayacht, 2002)

Wild Oats and Schock 40

Page 50: Computer technology in America’s Cup Yacht Racing

50J. Craig Mudge ee380 Stanford University 2/19/2003

Outline

Hull designSail designMaterials

Two-boat tuningWinning races

Page 51: Computer technology in America’s Cup Yacht Racing

51J. Craig Mudge ee380 Stanford University 2/19/2003

Why two-boat tuning

• Shortcomings of numerical modeling and tank testing

• Sensors not accurate enough– A two boat lead at end of a 3 mile leg

requires boat speed 0.7% accuracy; – Accuracy on wind direction, strength also

difficult hard to get accuracy;

Page 52: Computer technology in America’s Cup Yacht Racing

52J. Craig Mudge ee380 Stanford University 2/19/2003

Instruments and data logging on J/105 Kookaburra

Data from instruments:- Wind speed (true and apparent); Boat position; Heading; Boat speed (through water and over the ground); Etc etc

Page 53: Computer technology in America’s Cup Yacht Racing

53J. Craig Mudge ee380 Stanford University 2/19/2003

A leg of a race selected for further analysis

Page 54: Computer technology in America’s Cup Yacht Racing

54J. Craig Mudge ee380 Stanford University 2/19/2003

Log of Wind Oscillations during a race

221º 299º

Page 55: Computer technology in America’s Cup Yacht Racing

55J. Craig Mudge ee380 Stanford University 2/19/2003

Two-boat tuning – Team NZ

Page 56: Computer technology in America’s Cup Yacht Racing

56J. Craig Mudge ee380 Stanford University 2/19/2003

Outline

Hull designSail designMaterialsTwo-boat tuning

Computer use in America’s Cup races

Page 57: Computer technology in America’s Cup Yacht Racing

57J. Craig Mudge ee380 Stanford University 2/19/2003

Performance

• Performance is a function of– Preparation before the race– Start– Boatspeed

• Design of hull and appendages• Design of sails • Boat handling by crew• Strategy• Tactics• Helmsman’s skill

– Navigation

Page 58: Computer technology in America’s Cup Yacht Racing

58J. Craig Mudge ee380 Stanford University 2/19/2003

Currents Hauraki Gulf, NZ Feb 19

Time: 1400

Courtesy

David Brayshaw, GoFlow

Page 59: Computer technology in America’s Cup Yacht Racing

59J. Craig Mudge ee380 Stanford University 2/19/2003

Currents Hauraki Gulf, NZ Feb 19

Time: 1139Maximum ebb

Courtesy David Brayshaw, GoFlow

Page 60: Computer technology in America’s Cup Yacht Racing

60J. Craig Mudge ee380 Stanford University 2/19/2003

The start

Page 61: Computer technology in America’s Cup Yacht Racing

61J. Craig Mudge ee380 Stanford University 2/19/2003

The start

Display of computed parameterstime to starttime to line tack+acceleration+ travel time (for boat speed, index into polars)

This nice result is helped by accurately estimating time to the starting line (Alinghi Race 3)

Page 62: Computer technology in America’s Cup Yacht Racing

62J. Craig Mudge ee380 Stanford University 2/19/2003

On each legDisplay

time to next marktime in each tack remainingtime to layline

target boat speedetc

Predict next leg- given assumptions on wind

and mark, use polars to display:-course, wind angles,

Page 63: Computer technology in America’s Cup Yacht Racing

63J. Craig Mudge ee380 Stanford University 2/19/2003

Topics not covered

• Effect of mast on flow past mainsail• Trim tabs on aft end of keel• Heads-up display in navigator’s sunglasses • Modeling interaction of hull and sails• Modeling of currents• Analysis of materials and structure of hulls • Techniques in rig design and analysis

Page 64: Computer technology in America’s Cup Yacht Racing

64J. Craig Mudge ee380 Stanford University 2/19/2003

BibliographyJoubert, P N. and Oosannen van, P. The Development of the Winged Keel for

Twelve Metre Yachts, Rev. 1986.Killing, Steve.Yacht Design Explained, Norton, New York, 1998.Larsson, L and Eliasson, R. Principles of Yacht Design, 2nd ed. International Marine,

Camden, 2000.Milgram, Jerome H. Fluid Mechanics for Sailing Vessel Design, Annual Review of

Fluid Mechanics, 1998 30:613-653.Marchaj, C A. Sail Performance. International Marine, London, 1996.Sawley, M L. Numerical Flow Simulation for the America’s Cup. EPFL

Newsletter,2002.Whidden, Tom. The art and science of sails, St. Martins Press, New York,1990.

• Email [email protected] for a copy of this bibliography

Page 65: Computer technology in America’s Cup Yacht Racing

65J. Craig Mudge ee380 Stanford University 2/19/2003

High performance yachts in the future

1. Materials– Surfaces

• Low drag (MEMS?)• Vortex generators (a la Formula 1 cars) – also slots, porosity

2. Control of sail shape– Auto-adjust (but without stored energy)

3. Rig and masts4. Better numerical modeling

– Downwind sail design– Sail shape optimization, including design in unsteady

conditions (waves, …)– Coupling of accurate CFD to structural analysis– Hull-sail interaction

Some possibilities

Rules will have to change in some cases.

Page 66: Computer technology in America’s Cup Yacht Racing

66J. Craig Mudge ee380 Stanford University 2/19/2003

Page 67: Computer technology in America’s Cup Yacht Racing

67J. Craig Mudge ee380 Stanford University 2/19/2003

Page 68: Computer technology in America’s Cup Yacht Racing

68J. Craig Mudge ee380 Stanford University 2/19/2003

■ Design shape flying shape

■ Square-rigged

■ Twist onset flow small

■ Extensive experimental data

280 ft

160ft

65ft

Maltese Falcon ideal test case

■ Prototype testing appealing

Stanford Yacht Research

(Gerritsen, Doyle, Perkins)

Page 69: Computer technology in America’s Cup Yacht Racing

69J. Craig Mudge ee380 Stanford University 2/19/2003

Page 70: Computer technology in America’s Cup Yacht Racing

70J. Craig Mudge ee380 Stanford University 2/19/2003

Kiwi clip on or hula

Page 71: Computer technology in America’s Cup Yacht Racing

71J. Craig Mudge ee380 Stanford University 2/19/2003

3DL

Contrast with panelled sails

Page 72: Computer technology in America’s Cup Yacht Racing

72J. Craig Mudge ee380 Stanford University 2/19/2003

Review: computer useArea Type

Design of hull Hydrodynamic modeling (to reduce drag)Hull appendages Hydrodynamic modeling (lift and drag)Design of sails Aerodynamic modeling; photogrammaticComputational Fluid Dynamics (CFD)

Modeling, analysis, and visualization – sails, hulls, appendages

Two boat testing Data collection and data managementNavigation/tactics/ strategy

Performance parameters; predictions for next leg

Campaign Project/financial management, travel, web site

Weather Forecast wind patterns for each raceSports media Visualization of race course from telemetry