Automating the Derivation of the Equations of Motion of a Multibody Dynamic System With Uncertainty Using Polynomial Chaos Theory and Variational Work

Author:

Ryan Paul S.1,Baxter Sarah C.2,Voglewede Philip A.1

Affiliation:

1. Department of Mechanical Engineering, Marquette University, Milwaukee, WI 53233

2. Department of Mechanical Engineering, University of Saint Thomas, St. Paul, MN 55105

Abstract

Abstract Understanding how variation impacts a multibody dynamic (MBD) system's response is important to ensure the robustness of a system. However, how the variation propagates into the MBD system is complicated because MBD systems are typically governed by a system of large differential algebraic equations. This paper presents a novel process, variational work, along with the polynomial chaos multibody dynamics (PCMBoD) automation process for utilizing polynomial chaos theory (PCT) in the analysis of uncertainties in an MBD system. Variational work allows the complexity of the traditional PCT approach to be reduced. With variational work and the constrained Lagrangian formulation, the equations of motion of an MBD PCT system can be constructed using the PCMBoD automated process. To demonstrate the PCMBoD process, two examples, a mass-spring-damper and a two link slider–crank mechanism, are shown.

Publisher

ASME International

Subject

Applied Mathematics,Mechanical Engineering,Control and Systems Engineering,Applied Mathematics,Mechanical Engineering,Control and Systems Engineering

Reference18 articles.

1. Variation Analysis of a Two Link Planar Manipulator Using Polynomial Chaos Theory,2006

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3. Polynomial-Chaos-Based Numerical Method for the LQR Problem With Uncertain Parameters in the Formulation,2011

4. Modeling Uncertainty in Steady State Diffusion Problems Via Generalized Polynomial Chaos;Comput. Methods Appl. Mech. Eng.,2002

5. Polynomial Chaos for Linear Differential Algebraic Equations With Random Parameters;Int. J. Uncertainty Quantif.,2011

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