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Grid adaptation is achieved through seeding points distributed according to flow criteria (e.g. local current gradients).
Grid adaptation is found to be of paramount importance to preserve the grid quality in the considered problems.
In the considered shocked flows, grid adaptation is found to be key to capture the relevant flow features using a reasonable amount of grid points.
Regions of non-equilibrium flow are detected by a flow based sensor and near-wall grid adaptation is then made possible due to the hybrid character of the wall-functions.
The grid adaptation is performed using a suitable mix of grid deformation, edge-swapping, node insertion and node removal techniques in order to comply with the displacement of the boundaries of the computational domain and to preserve the quality of the grid elements.
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A technique to adapt the local number of particles and grid adaptation are used to reduce the truncation error and the noise of the simulations, to increase the accuracy per unit cost.
Self-focusing of high intensity beams may be balanced with the de-focusing effect of created ionized plasma channel in the situation, and applications of grid adaptations are frequently essential.
The grid movement and adaptation is controlled by a monitor function which may depend on velocity gradient or other flow variables, such as density or pressure.
In this method, grid refinement and adaptation is based on an equidistribution law but is only performed in regions with high error estimates that are flagged from a preliminary coarse grid solution.
In this paper, WENO schemes (e.g. Advanced Numerical Approximations of Nonlinear Hyperbolic Equations, Lecture Notes in Mathematics, vol. 1697, Springer, Berlin, 1998, pp. 325 432) are used for the convection terms and a local grid adaptation technique is presented that uses the smoothness indicators and interpolation polynomials of the WENO schemes.
A grid adaptation strategy is included in flow field simulation.
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