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Simulation in Alpine Skiing

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Presentation on theme: "Simulation in Alpine Skiing"— Presentation transcript:

1 Simulation in Alpine Skiing
Peter Kaps Werner Nachbauer University of Innsbruck, Austria Workshop Ibk 05

2 Data Collection Trajectory of body points
Landing movement after jumps in Alpine downhill skiing, Lillehammer (Carved turns, Lech) Turn, World Cup race, Streif, Kitzbühel Workshop Ibk 05

3 Optimal landing Workshop Ibk 05

4 Landing in backward position
Workshop Ibk 05

5 Workshop Ibk 05

6 Workshop Ibk 05

7 Direct linear transformation
x,y image coordinates X,Y,Z object coordinates bi DLT-parameters Z y Y x X Workshop Ibk 05

8 Control points at Russi jump
Workshop Ibk 05

9 Camera position at Russi jump
Workshop Ibk 05

10 Video frame on PC Workshop Ibk 05

11 Unconstrained Newton-Euler equation of motion
(x,y,z)T Rigid body center of gravity: y=(x,y,z)T Workshop Ibk 05

12 Constrained equation of motion in 2D
unconstrained r = 0 Workshop Ibk 05

13 Constrained Newton-Euler equation of motion
f applied forces r reaction forces geometric constraint d‘Alembert‘s principle DAE Workshop Ibk 05

14 Constrained Newton-Euler equation of motion
DAE index position level index velocity level index acceler. level Workshop Ibk 05

15 Equation of motion T(u,t)v MATLAB-version of Ch. Engstler Index-2-DAE
Solved with RADAU 5 (Hairer-Wanner) MATLAB-version of Ch. Engstler Workshop Ibk 05

16 Ton van den Bogert Karin Gerritsen Kurt Schindelwig
Jumps in Alpine skiing Ton van den Bogert Karin Gerritsen Kurt Schindelwig Workshop Ibk 05

17 Force between snow and ski
normal to snow surface Fy,Ende Fy,Mitte Fz,Ende Fz,Mitte Fz,Vorne Skispitze Schneeoberfläche 3 nonlinear viscoelastic contact elements Workshop Ibk 05

18 Musculo-skeletal model of a skier
muscle model van Soest, Bobbert 1993 Workshop Ibk 05

19 Muscle force production of force – contractile element
ligaments - seriell elastic element connective tissue - parallel elastic element Workshop Ibk 05

20 Muscle model of Hill total length L = LCE + LSEE LCE LSEE LPEE
CE contractile element SEE seriell elastic element PEE parallel elastic element Workshop Ibk 05

21 Force of seriell-elastic elements
Force of parallel-elastic elements Workshop Ibk 05

22 Force-length-relation
Fmax maximal isometric force isometric vCE = 0 maximal activation q = 1 Workshop Ibk 05

23 Force-velocity relation
vCE = d/dt LCE maximal activation q = 1 optimal muscle length LCE = LCEopt Workshop Ibk 05

24 Hill equation (1938) Force-velocity relation
concentric contraction Workshop Ibk 05

25 Activation model (Hatze 1981) muscle activation
LCE length of the contractile elements calcium-ion concentration value of the non activated muscle Workshop Ibk 05

26 LCEopt optimal length of contractile elements
Workshop Ibk 05

27 Activation model (Hatze 1981)
Ordinary differential equation for the calcium-ion concentration  Control parameter: relative stimulation rate f stimulation rate, fmax maximum stimulation rate Workshop Ibk 05

28 Equilibrium FCE(L,vCE,q) = f(L,LCE) Solving for vCE
LSEE LCE LPEE FCE(L,vCE,q) = f(L,LCE) Solving for vCE vCE = d/dt LCE = fH(L,LCE,q(,LCE)) Workshop Ibk 05

29 State of a muscle three state variables actual muscle length
length of the contractile element calcium-ion conzentration Workshop Ibk 05

30 Force of muscle-ligament complex
according to Hill-Modell Input: L, LCE,  compute equivalent torque muscle force times lever arm Dk for joint k Dk constant Workshop Ibk 05

31 Comparison measured ( ) and simulated ( ) landing movement
Workshop Ibk 05

32 Techn. University, Vienna
Turns in Alpine skiing Simulation with DADS Peter Lugner Franz Bruck Techn. University, Vienna Workshop Ibk 05

33 Trajectory of a ski racer
x(t)=(X(t), Y(t), Z(t))T position as a function of time Mean value between the toe pieces of the left and right binding Track Position constraint Z-h(X,Y)=0 Y-s(X)=0 g(x,t)=0 Workshop Ibk 05

34 Equation of Motion Skier modelled as a mass point
descriptor form dependent coordinates x Differential-Algebraic Equation DAE ODE algebraic equation f applied forces r reaction forces r = -gxT  Workshop Ibk 05

35 Applied forces gravity snow friction drag
t unit vector in tangential direction  friction coefficient N normal force N = ||r|| cd A drag area  density v velocity Workshop Ibk 05

36 Snow friction and drag area
piecewice constant values determination of i , , ti by a least squares argument minimum x(ti) DAE-solution at time ti xi smoothed DLT-result at time ti Workshop Ibk 05

37 Software for Computation
Computations were performed in MATLAB DAE-solver RADAU5 of Hairer-Wanner MATLAB-Version by Ch. Engstler Optimization problem Nelder-Mead simplex algorithmus Workshop Ibk 05

38 Results truncated values more exact values
[ , ] 1= (cdA)1=0.9094 [0.1777, ] 2= (cdA)2=0.9070 [0.5834, ] 1= (cdA)1=0.5534 Workshop Ibk 05

39 Comparison more exact values
Workshop Ibk 05

40 Comparison truncated values
Workshop Ibk 05

41 Conclusions In Alpine skiing biomechanical studies under race conditions are possible. The results are reasonable, although circumstances for data collection are not optimal: no markers, position of control points must not disturb the racers, difficulties with commercial rights Results like loading of the anterior cruciate ligament (ACL) as function of velocity or inclination of the slope during landing or the possibility of a rupture of the ACL without falling are interesting applications in medicine. Informations on snow friction and drag in race conditions are interesting results, but a video analysis is expensive (digitizing the data, geodetic surveying). Workshop Ibk 05

42 Applications Determination of an optimal trajectory
Virtual skiing, with vibration devices, in analogy to flight simulators Workshop Ibk 05


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