2006
DOI: 10.1007/s10665-006-9064-z
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Nodal DG-FEM solution of high-order Boussinesq-type equations

Abstract: Abstract. We present a discontinuous Galerkin finite element method (DG-FEM) solution to a set of high-order Boussinesq-type equations for modelling highly nonlinear and dispersive water waves in one and two horizontal dimensions. The continuous equations are discretized using nodal polynomial basis functions of arbitrary order in space on each element of an unstructured computational domain. A fourth order explicit Runge-Kutta scheme is used to advance the solution in time. Methods for introducing artificial … Show more

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Cited by 67 publications
(68 citation statements)
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“…As expected, we obtain similar orders of accuracy for both GNO and GNC models. Concerning the impact of the numerical flux choice on the convergence rates, we can observe on Table (5) that, for both models and as mentioned in previous studies [15,22,30,31], the use of BR fluxes may lead to sub-optimal convergence rates for odd values of N , while the LDG fluxes lead to optimal convergence rates. The corresponding convergence orders are reported on the last column of Table (5). Let us now investigate the computational improvements obtained with the new GNC model.…”
Section: Accuracy and Convergence Analysis In The Presence Of Non-flamentioning
confidence: 57%
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“…As expected, we obtain similar orders of accuracy for both GNO and GNC models. Concerning the impact of the numerical flux choice on the convergence rates, we can observe on Table (5) that, for both models and as mentioned in previous studies [15,22,30,31], the use of BR fluxes may lead to sub-optimal convergence rates for odd values of N , while the LDG fluxes lead to optimal convergence rates. The corresponding convergence orders are reported on the last column of Table (5). Let us now investigate the computational improvements obtained with the new GNC model.…”
Section: Accuracy and Convergence Analysis In The Presence Of Non-flamentioning
confidence: 57%
“…Using these global differentiation matrices, we are now able to approximate all the derivatives occurring in (24a)-(24c). The nonlinear products are treated directly, in a collocation manner, inspired from [22]. We can also build the global square N d ×N e matrix of the discrete version of 1+αT[h b ].…”
Section: High-order Derivatives and Dispersive Terms Computationmentioning
confidence: 99%
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