Fuzzy-Based Analysis of a Hill-Type Muscle Model |
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Authors: | Jörg Fehr Julian Fuhrer Christian Kleinbach Michael Hanss Peter Eberhard |
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Affiliation: | Institute of Engineering and Computational Mechanics, University of Stuttgart, Pfaffenwaldring 9, 70569 Stuttgart, Germany |
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Abstract: | Among the most challenging problems in present day mechanics is the realistic simulation of the human kinetic behavior which requires correct modeling of the muscles – the human actuators. We are, therefore, implementing and validating a 1-D massless Hill-type muscle model in the program Neweul-M2. As a part of this effort, various anatomical and physiological parameters need to be chosen prior to the simulation. These parameters are always subject to natural variability or scatter. Therefore, it is important to consider those parameters as uncertain fuzzy parameters and then determine the sensitivity measures of the parameters involved in various simulation scenarios using the program Famous. The applied sensitivity analysis quantifies the influence of individual parameters or subsets of parameters on the output quantity of interest. Thus, this analysis identifies those parameters with large influence on the simulation response of muscles which, therefore, needs to be chosen very carefully. (© 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim) |
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