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Contact Modeling and Identification of Planar Somersaults on the Trampoline

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Abstract

This paper presents an extensive study on the trampoline-performed planar somersaults. First, a multibody biomechanical model of the trampolinist and the recurrently interacting trampoline bed are developed, including both the motion equations and the determination of joint reactions. The mathematical model is then identified –the mass and inertia characteristics of the human body are estimated, and the stiffness and damping characteristics of the trampoline bed are measured. By recording the actual somersault performances the motion characteristics of the stunts, i.e. the time variations of positions, velocities and accelerations of the body parts are also obtained. Finally, an inverse dynamics formulation for the system designated as an under-controlled system, is developed. The followed inverse dynamics simulation results in the torques of muscle forces in the joints that assure the realization of the actual motion. The reaction forces in the joints during the analyzed evolutions are also determined. Using the kinematic and dynamics characteristics, the nature of the stunts, the way the human body is maneuvered and controlled, can be studied.

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References

  1. Gleason, L., ‘Teaching somersaults’, http: //homepages.tu-darmstadt.de/?webtramp/en/rep/teach.html.

  2. Blajer, W., ‘Determination of joint reactions in multibody systems: Some existing approaches and a novel contribution’, Machine Dynamics Problems 25(3/4), 2001, 7–19.

    Google Scholar 

  3. Zatsiorsky, V.M. and Seluyanov, V., ‘Estimation of the mass and inertia characteristics of the human body by means of the best regression equations’, in Biomechanics IX-B, D.A. Winter, R. Normal, R.P. Wells, K. Hayes and A.E. Portia (eds.), Human Kinetics Publishers, Champain, 1985, 233–239.

    Google Scholar 

  4. García de Jalón, J. and Bayo, E., Kinematic and Dynamic Simulation of Multibody Systems: The Real-Time Challenge, Springer-Verlag, New York, 1993.

    Google Scholar 

  5. Risher, D.W., Schutte, L.M. and Runge, C.F., ‘The use of inverse dynamics solutions in direct dynamics simulations’, Journal of Biomechanical Engineering 119, 1997, 417–422.

    Google Scholar 

  6. Kuo, A.D., ‘A last-squares estimation approach to improving the precision of inverse dynamics computations’, Journal of Biomechanical Engineering 120, 1998, 148–159.

    Google Scholar 

  7. Hatze, H., ‘The fundamental problem of myoskeletal inverse dynamics and its implementations’, Journal of Biomechanics 35, 2002, 109–115.

    Google Scholar 

  8. Andriacchi, T.P. and Alexander, E.J., ‘Studies of human locomotion: Past, present and future’, Journal of Biomechanics 33, 2000, 1217–1234.

    Google Scholar 

  9. Eberhard, P., Spägele, T. and Gollhofer, A., ‘Investigations for the dynamical analysis of human motion’, Multibody System Dynamics 3, 1999, 1–20.

    Google Scholar 

  10. Pandy, M.G., ‘Computer modeling and simulation of human movement’, Annual Review of Biomedical Engineering 3, 2001, 245–273.

    Google Scholar 

  11. Nikravesh, P.E., ‘Systematic reduction of multibody equations of motion to a minimal set’, International Journal of Non-Linear Mechanics 25, 1990, 143–151.

    Google Scholar 

  12. Blajer, W., ‘A geometric unification of constrained system dynamics’, Multibody System Dynamics 1, 1977, 3–21.

    Google Scholar 

  13. Schiehlen, W., ‘Multibody system dynamics: Roots and perspectives’, Multibody System Dynamics 1, 1997, 149–188.

    Google Scholar 

  14. Hartog, D., Mechanical Vibrations, McGraw-Hill, New York, 1968.

    Google Scholar 

  15. Reinsch, C.H., ‘Smoothing by spline functions’, Numerische Mathematik 10, 1967, 177–183.

    Google Scholar 

  16. Dziewiecki, K. and Karpiłowski, B., ‘Comparison of accuracy of velocity measurement by video analysis and shadow registration method’, Biology of Sport 16, 1999, 161–166.

    Google Scholar 

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Blajer, W., Czaplicki, A. Contact Modeling and Identification of Planar Somersaults on the Trampoline. Multibody System Dynamics 10, 289–312 (2003). https://doi.org/10.1023/A:1025991618087

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  • DOI: https://doi.org/10.1023/A:1025991618087

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