A contact detection algorithm for superellipsoids based on the common-normal concept

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OriginalspracheEnglisch
Seiten (von - bis)432-442
Seitenumfang11
FachzeitschriftEngineering Computations (Swansea, Wales)
Jahrgang25
Ausgabenummer5
PublikationsstatusVeröffentlicht - 18 Juli 2008

Abstract

Purpose - The paper aims to introduce an efficient contact detection algorithm for smooth convex particles. Design/methodology/approach - The contact points of adjacent particles are defined according to the common-normal concept. The problem of contact detection is formulated as 2D unconstrained optimization problem that is solved by a combination of Newton's method and a Levenberg-Marquardt method. Findings - The contact detection algorithm is efficient in terms of the number of iterations required to reach a high accuracy. In the case of non-penetrating particles, a penetration can be ruled out in the course of the iterative solution before convergence is reached. Research limitations/implications - The algorithm is only applicable to smooth convex particles, where a bijective relation between the surface points and the surface normals exists. Originality/value - By a new kind of formulation, the problem of contact detection between 3D particles can be reduced to a 2D unconstrained optimization problem. This formulation enables fast contact exclusions in the case of non-penetrating particles.

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A contact detection algorithm for superellipsoids based on the common-normal concept. / Wellmann, Christian; Lillie, Claudia; Wriggers, Peter.
in: Engineering Computations (Swansea, Wales), Jahrgang 25, Nr. 5, 18.07.2008, S. 432-442.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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AU - Wriggers, Peter

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N2 - Purpose - The paper aims to introduce an efficient contact detection algorithm for smooth convex particles. Design/methodology/approach - The contact points of adjacent particles are defined according to the common-normal concept. The problem of contact detection is formulated as 2D unconstrained optimization problem that is solved by a combination of Newton's method and a Levenberg-Marquardt method. Findings - The contact detection algorithm is efficient in terms of the number of iterations required to reach a high accuracy. In the case of non-penetrating particles, a penetration can be ruled out in the course of the iterative solution before convergence is reached. Research limitations/implications - The algorithm is only applicable to smooth convex particles, where a bijective relation between the surface points and the surface normals exists. Originality/value - By a new kind of formulation, the problem of contact detection between 3D particles can be reduced to a 2D unconstrained optimization problem. This formulation enables fast contact exclusions in the case of non-penetrating particles.

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