Gauss optimization method for the dynamics of unilateral contact of rigid multibody systems

Yao, Wenli; Yang, Liusong; Guo, Mingming

doi:10.1007/s10409-020-01019-1

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…Lee et al [23] proposed a new framework of velocity-based iteration by using surrogate dynamics and contact nodalization, which could effectively deal with large dimension and multiple contact problems. Combined with the principle of Gaussian minimum constraint, Yao et al [24] adopted the particle swarm optimization method to handle the corresponding optimization model, and solved the bilateral constraints in the collision problems by the Gaussian optimization method.…”

Section: Introductionmentioning

confidence: 99%

Nonsmooth dynamic analysis of rigid-flexible interaction collision

Tao

et al. 2022

Appl. Math. Mech.-Engl. Ed.

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This paper aims to explore the deformation of the collided bodies in multi-body systems and to effectively simulate the motion path of colliding bodies. First, we describe the geometrically nonlinear problems of materials by the total Lagrangian formulation. Second, a first-order integration scheme is used to solve the dynamics equations. An algorithm combining the bi-potential method with the node-to-point contact identification is proposed to solve the interface problems of rigid-flexible interaction collision. To observe the collision process more intuitively, the internal software FER/VIEW is introduced to visualize the results. The accuracy is proved by comparing the proposed method with the analytical solution or another numerical solution. Moreover, the proposed method has more numerical robustness, such as occupying less computer storage, saving the computational cost, and broadening the application range of the bi-potential method.

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Section: Introductionmentioning

confidence: 99%