2014
DOI: 10.1007/s10444-014-9394-8
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Construction and analysis of higher order Galerkin variational integrators

Abstract: In this work we derive and analyze variational integrators of higher order for the structure-preserving simulation of mechanical systems. The construction is based on a space of polynomials together with Gauss and Lobatto quadrature rules to approximate the relevant integrals in the variational principle. The use of higher order schemes increases the accuracy of the discrete solution and thereby decrease the computational cost while the preservation properties of the scheme are still guaranteed. The order of c… Show more

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Cited by 51 publications
(81 citation statements)
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“…This agrees with the discussion in Ref. [64] that integrators interpolating the displacement linearly in time can be at most of second order.…”
Section: Wwwzamm-journalorgsupporting
confidence: 93%
See 1 more Smart Citation
“…This agrees with the discussion in Ref. [64] that integrators interpolating the displacement linearly in time can be at most of second order.…”
Section: Wwwzamm-journalorgsupporting
confidence: 93%
“…Following Ref. , the six schemes can be expressed in the form vn+1ω0.16emun+1=Avnω0.16emun,where boldA is the amplification matrix given in Appendix (supplementary material). The terms un and vn denote the displacement and the velocity at time step tn.…”
Section: Properties Of the Six Schemesmentioning
confidence: 99%
“…Fig. 2 hints the extension of existing results for Hamiltons's principle [9] to the discrete D'Alembert principle, namely that the convergence rate cannot be increased by using higher order of quadrature than of approximation. It is interesting to note, that if the heat transfer is changed from Fourier's law to Green & Naghdi type II [3], the entropy is to be conserved analytically and so does the VI.…”
Section: Model Problemmentioning
confidence: 61%
“…In these equations we first calculate implicitly the unknown values of the postion vector for every micro time step and the unknown LAGRANGE multiplier in Equation (43). In the "update" step we calculate also implicitly the unknown LAGRANGE multiplier and the linear momentum vector at the end of the micro time step, Equation (44) [6], [9].…”
Section: The Discrete Lagrangiañmentioning
confidence: 99%