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dc.contributor.authorSerban, Radu
Melanz, Daniel
Li, Ang
Stanciulescu, Ilinca
Jayakumar, Paramsothy
Negrut, Dan
dc.date.accessioned 2015-06-15T18:57:49Z
dc.date.available 2015-06-15T18:57:49Z
dc.date.issued 2015
dc.identifier.citation Serban, Radu, Melanz, Daniel, Li, Ang, et al.. "A GPU-based preconditioned Newton-Krylov solver for flexible multibody dynamics." International Journal for Numerical Methods in Engineering, 102, no. 9 (2015) Wiley: 1585-1604. http://dx.doi.org/10.1002/nme.4876.
dc.identifier.urihttps://hdl.handle.net/1911/80756
dc.description.abstract This paper describes an approach to numerically approximate the time evolution of multibody systems with flexible (compliant) components. Its salient attribute is that at each time step, both the formulation of the system equations of motion and their numerical solution are carried out using parallel computing on graphics processing unit cards. The equations of motion are obtained using the absolute nodal coordinate formulation, yet any other multibody dynamics formalism would fit equally well the overall solution strategy outlined herein. The implicit numerical integration method adopted relies on a Newton-Krylov methodology and a parallel direct sparse solver to precondition the underlying linear system. The proposed approach, implemented in a software infrastructure available under an open-source BSD-3 license, leads to improvements in overall simulation times of up to one order of magnitude when compared with matrix-free parallel solution approaches that do not use preconditioning.
dc.language.iso eng
dc.publisher Wiley
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.title A GPU-based preconditioned Newton-Krylov solver for flexible multibody dynamics
dc.type Journal article
dc.contributor.funder U.S. Army Tank Automotive Research Development and Engineering Center
dc.contributor.funder National Science Foundation
dc.contributor.funder Army Research Office
dc.citation.journalTitle International Journal for Numerical Methods in Engineering
dc.subject.keywordinexact Newton
sparse linear system
preconditioning
implicit integration
SPIKE
ANCF
GPU computing
dc.citation.volumeNumber 102
dc.citation.issueNumber 9
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1002/nme.4876
dc.identifier.grantID W911NF-11-D-0001-0107 (U.S. Army Tank Automotive Research Development and Engineering Center)
dc.identifier.grantID SI2-SSE-1147337 (National Science Foundation)
dc.identifier.grantID W911NF-11-1-0327 (Army Research Office)
dc.type.publication publisher version
dc.citation.firstpage 1585
dc.citation.lastpage 1604


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