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Published in: Journal of Scientific Computing 2/2017

10-11-2016

Mixed-Type Galerkin Variational Principle and Numerical Simulation for a Generalized Nonlocal Elastic Model

Authors: Lueling Jia, Huanzhen Chen, Hong Wang

Published in: Journal of Scientific Computing | Issue 2/2017

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Abstract

A mixed-type Galerkin variational principle is proposed for a generalized nonlocal elastic model. The solvability and regularity of its solution is naturally derived through the Lax–Milgram lemma, from which a solvability criterion is inferred for a Fredholm integral equation of the first kind. A mixed-type finite element procedure is therefore developed and the existence and uniqueness of the discrete solution is proved. This compensates the lack of solvability proof for the collocation-finite difference scheme proposed in Du et al. (J Comput Phys 297:72–83, 2015). Numerical error bounds for the unknown and the intermediate variable are proved. By carefully exploring the structure of the coefficient matrices of the numerical method, we develop a fast conjugate gradient algorithm , which reduces the computations to \(\mathcal {O}(NlogN)\) per iteration and the memory to \(\mathcal {O}(N)\). The use of the preconditioner significantly reduces the number of iterations. Numerical results show the utility of the method.

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Appendix
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Metadata
Title
Mixed-Type Galerkin Variational Principle and Numerical Simulation for a Generalized Nonlocal Elastic Model
Authors
Lueling Jia
Huanzhen Chen
Hong Wang
Publication date
10-11-2016
Publisher
Springer US
Published in
Journal of Scientific Computing / Issue 2/2017
Print ISSN: 0885-7474
Electronic ISSN: 1573-7691
DOI
https://doi.org/10.1007/s10915-016-0316-4

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