2014
DOI: 10.1016/j.cma.2014.01.025
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An anisotropic, fully adaptive algorithm for the solution of convection-dominated equations with semi-Lagrangian schemes

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Cited by 21 publications
(20 citation statements)
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“…As in the steady computations, finite elements were used for the spatial discretization. The time-marching technique employed a characteristics-Galerkin method [22,25] with a fixed time step Dt. The resulting system of linearized equations was solved at each time step using FreeFem++ [22].…”
Section: Transient Computationsmentioning
confidence: 99%
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“…As in the steady computations, finite elements were used for the spatial discretization. The time-marching technique employed a characteristics-Galerkin method [22,25] with a fixed time step Dt. The resulting system of linearized equations was solved at each time step using FreeFem++ [22].…”
Section: Transient Computationsmentioning
confidence: 99%
“…The apparent parabolic nature of (13) and (14) suggests a marching procedure in which (12)- (14) supplemented with (20) are integrated for increasing h subject to the boundary conditions (16). The integration must be initiated at h ( 1 using the selfsimilar profiles (25). In this scheme, the value of K corresponding to a given maximum temperature / max is obtained from (20) as an eigenvalue by imposing the condition that / c !…”
Section: / 1=4mentioning
confidence: 99%
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“…A space-adaptive f nite element method, used also in our previous work [22], was employed for the numerical integration. Due to the slender shape of high Reynolds number jets and the development of thin mixing layers surrounding the jet head, anisotropic mesh elements are used in the space discretization in combination with local adaptive mesh ref nement [37], with the size of the smallest elements, located at the jet mixing layer, limited to a hundredth of the orif ce semiwidth h. The use of anisotropic mesh adaptation constitutes a major improvement with respect to our earlier work [22], which reduces the number of nodes required for the simulations and signif cantly increases the efficiency of computing. Two meshes obtained in a sample case computed with anisotropic and isotropic adaptation are compared in Fig.…”
Section: The Model Problemmentioning
confidence: 99%
“…First [30,33,49,52], an isotropic mesh is adapted frequently in order to maintain the solution within refined regions and introduce a safety area around critical regions. Another approach is to use an unsteady mesh adaptation algorithm [14,16,20,48,54] based on local or global remeshing techniques and the estimation of the error every n flow solver iterations. If the error is greater than a prescribed threshold, the mesh is re-adapted.…”
Section: Introductionmentioning
confidence: 99%