1979
DOI: 10.1016/0021-9991(79)90165-7
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Automatic mesh-point clustering near a boundary in grid generation with elliptic partial differential equations

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Cited by 222 publications
(65 citation statements)
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“…The source terms P i of Equation (1) are necessary to control the grid point distribution and several formulations [40][41][42] are used to meet grid quality measures, e.g., first cell spacing and orthogonality, cell skewness and expansion ratio. …”
Section: Discretizationmentioning
confidence: 99%
See 1 more Smart Citation
“…The source terms P i of Equation (1) are necessary to control the grid point distribution and several formulations [40][41][42] are used to meet grid quality measures, e.g., first cell spacing and orthogonality, cell skewness and expansion ratio. …”
Section: Discretizationmentioning
confidence: 99%
“…Although the computational cost to compute gradients with the complex-step method is proportional to the number of design parameters, it is still considered reasonable given the limited number of design parameters used in this study (40) and the relatively fast grid generation process.…”
Section: Multigrid Cyclementioning
confidence: 99%
“…A variable volumetric force is used such that a constant mass flux is maintained and the bulk Reynolds number based on the bulk velocity at the inlet and hill height is Re b = 10595. An elliptic grid generation technique [39] is used to generate a nearly orthogonal curvilinear grid in the x-y plane with clustering of the grid near the upper and lower walls to resolve the boundary layers. The grid in the 8 Taylor & Francis and I.T.…”
Section: Periodic Hill Flowmentioning
confidence: 99%
“…Computational grids were generated using an interactive program called TIGGERC [ 151 in conjunction with interior grid restretching using an elliptic partial differential equation (PDE) solver [16]. The elliptic PDE solver forces grid orthogonality at solid boundaries, and allows user control of the grid spacing normal and adjacent to the boundaries, and of the stretching away from the boundaries.…”
Section: Computational Detailsmentioning
confidence: 99%