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A robust asymmetrical contact algorithm for explicit solid dynamics

del Pozo, D. and Lopez-Gomez, I. and Romero, I. (2019) A robust asymmetrical contact algorithm for explicit solid dynamics. Computational Mechanics, 64 (1). pp. 15-32. ISSN 0178-7675. https://resolver.caltech.edu/CaltechAUTHORS:20190708-151453738

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Abstract

We describe a novel algorithm for the robust approximation of elastic, inelastic, and frictional contact problems in explicit computations. The method is based on a master-slave concept and a predictor/corrector split of the dynamic update. In the predictor step, the bodies move ignoring all contact interactions; in the correction, the nodes that have penetrated a body are pushed back while correcting their velocities to preserve linear momentum and balance the kinetic energy. In contrast with existing predictor/corrector contact algorithms, no iterations nor global computations are required in the correction step. Moreover, thanks to the geometrical basis of the method, the choice of an artificial penalty parameter is avoided. The contact algorithm does not require the computation of the normal vectors at the contacting surfaces, making it especially useful for simulations that employ finite element and certain meshfree discretizations, and for the simulation of contact among bodies with non-smooth boundaries.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/s00466-018-1654-xDOIArticle
ORCID:
AuthorORCID
Romero, I.0000-0003-0364-6969
Additional Information:© 2018 Springer-Verlag GmbH Germany, part of Springer Nature. First Online: 16 November 2018.
Subject Keywords:Explicit integration; Contact; Predictor/corrector scheme; Finite elements; Meshfree methods
Issue or Number:1
Record Number:CaltechAUTHORS:20190708-151453738
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190708-151453738
Official Citation:del Pozo, D., Lopez-Gomez, I. & Romero, I. Comput Mech (2019) 64: 15. https://doi.org/10.1007/s00466-018-1654-x
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96924
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:08 Jul 2019 22:21
Last Modified:03 Oct 2019 21:26

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