This study addresses the critical need for computational tools to model complex nonlinear multibody dynamic systems in the presence of parametric and external uncertainty. Polynomial chaos has been used extensively to model uncertainties in structural mechanics and in fluids, but to our knowledge they have yet to be applied to multibody dynamic simulations. We show that the method can be applied to quantify uncertainties in time domain and frequency domain.

Volume Subject Area:
Design Engineering
Keywords:
multibody dynamic systems, uncertainty, polynomial chaos, stochastic systems, Galerkin approach, Monte Carlo simulations, ordinary differential equations, differential algebraic equations
Topics:
Chaos, Dynamic systems, Engineering simulation, Polynomials, Simulation, Uncertainty
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Copyright © 2004
 by ASME
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