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contributor authorKissel, Alexandra
contributor authorBakke, Luning
contributor authorNegrut, Dan
date accessioned2024-12-24T18:47:07Z
date available2024-12-24T18:47:07Z
date copyright5/13/2024 12:00:00 AM
date issued2024
identifier issn1555-1415
identifier othercnd_019_07_071002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302738
description abstractIn multibody dynamics, formulating the equations of motion in absolute Cartesian coordinates results in a set of index-3 differential algebraic equations (DAEs). In this work, we present an approach that bypasses the DAE problem by partitioning the velocities in the system into dependent and independent coordinates, thereby reducing the task of producing the time evolution of the mechanical system to one of solving a set of ordinary differential equations (ODEs). In this approach, the independent coordinates are integrated directly, while the dependent coordinates are recovered through the kinematic constraint equations at the position and velocity levels. Notably, Lie group integration is employed to directly obtain the orientation matrix A at each time-step of the simulation. This eliminates the need to choose generalized coordinates to capture the orientation of a body, as the matrix A is a by-product of the solution algorithm. Herein, we outline the new approach and demonstrate it in conjunction with four mechanisms: a single pendulum, a double pendulum, a four-link mechanism, and a slider crank. We report on the convergence order behavior of the proposed method and compare its performance with an established method that combines coordinate partitioning with an Euler parameter formulation. The Python code developed to generate the reported results is open-source and available in a public repository for reproducibility studies.
publisherThe American Society of Mechanical Engineers (ASME)
titleReducing the Constrained Multibody Dynamics Problem to the Solution of a System of Ordinary Differential Equations Via Velocity Partitioning and Lie Group Integration
typeJournal Paper
journal volume19
journal issue7
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4065254
journal fristpage71002-1
journal lastpage71002-9
page9
treeJournal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 007
contenttypeFulltext


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