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Asynchronous Variational Integrators

Lew, A. and Marsden, J. E. and Ortiz, M. and West, M. (2003) Asynchronous Variational Integrators. Archive for Rational Mechanics and Analysis, 167 (2). pp. 85-146. ISSN 0003-9527. http://resolver.caltech.edu/CaltechAUTHORS:20100823-112128812

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Abstract

We describe a new class of asynchronous variational integrators (AVI) for nonlinear elastodynamics. The AVIs are distinguished by the following attributes: (i) The algorithms permit the selection of independent time steps in each element, and the local time steps need not bear an integral relation to each other; (ii) the algorithms derive from a spacetime form of a discrete version of Hamilton’s variational principle. As a consequence of this variational structure, the algorithms conserve local momenta and a local discrete multisymplectic structure exactly. To guide the development of the discretizations, a spacetime multisymplectic formulation of elastodynamics is presented. The variational principle used incorporates both configuration and spacetime reference variations. This allows a unified treatment of all the conservation properties of the system.A discrete version of reference configuration is also considered, providing a natural definition of a discrete energy. The possibilities for discrete energy conservation are evaluated. Numerical tests reveal that, even when local energy balance is not enforced exactly, the global and local energy behavior of the AVIs is quite remarkable, a property which can probably be traced to the symplectic nature of the algorithm


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1007/s00205-002-0212-yDOIUNSPECIFIED
http://www.springerlink.com/content/myvv3lghufnx1wnc/PublisherUNSPECIFIED
Additional Information:© Springer-Verlag (2003). Accepted April 1, 2002. Published online February 28, 2003. Support from NSF/DARPA through the OPAAL grant is gratefully acknowledged. J. Marsden and M. West were partially supported by NSF/KDI grant ATM- 9873133 and NSF/ITR grant ACI-0204932 as well.We are grateful to John Ball, Stuart Antman, Tom Hughes, Stefan Müller, Fehmi Ciraki, Steve Shkoller, Couro Kane, Anna Pandolfi, Melvin Leok and Razvan Fetecau for helpful discussions and suggestions.
Funders:
Funding AgencyGrant Number
NSF/Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
NSF/Knowledge and Distributed Intelligence (KDI)ATM-9873133
NSF/ITRACI-0204932
Record Number:CaltechAUTHORS:20100823-112128812
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20100823-112128812
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:19592
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:01 Sep 2010 21:04
Last Modified:26 Dec 2012 12:21

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