1999
DOI: 10.1016/s0045-7930(98)00050-4
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Aerodynamic shape optimization of supersonic aircraft configurations via an adjoint formulation on distributed memory parallel computers

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Cited by 81 publications
(50 citation statements)
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“…Many of the methods that have been developed for a deforming mesh are either algebraic [1,15], iterative [3], or analytical [2]. The algebraic and analytical methods while relatively inexpensive to run, are limited to small amplitude motions.…”
Section: Grid Deformation Methodsmentioning
confidence: 99%
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“…Many of the methods that have been developed for a deforming mesh are either algebraic [1,15], iterative [3], or analytical [2]. The algebraic and analytical methods while relatively inexpensive to run, are limited to small amplitude motions.…”
Section: Grid Deformation Methodsmentioning
confidence: 99%
“…Let F , G, H be the parameterized values of a grid point in the I, J, and K indices. The 1-D TFI in the K-direction is simply (2) where ∆E refers to the deformation of an edge, which in this example varies in the k-index, while P 1,1,1 and ∆P 1,1,kmax are the deformations of the two corner points of the edge. The 2-D TFI is defined as (for a surface in the I=1 plane):…”
Section: Single Block Approachmentioning
confidence: 99%
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“…A strain energy function U is defined in terms of traction and displacement as Expressed in discretized form for numerical implementation, equation (9) takes the form where u e and t e denote, respectively, the displacements and tractions at the nodal points of a boundary element, and, N c is the interpolation (shape) function and J the Jacobian of transformation between global and local coordinates. Rewriting (10) For a given set of displacement vectors [u i ] at internal points, the strain energy function U is to be minimized so as to avoid undue deformation of the structure. This is a constrained quadratic minimization problem that can be solved using the Lagrange multiplier technique.…”
Section: Constructing the Spline Matrixmentioning
confidence: 99%
“…14,17 This work is largely based on algorithms developed for Aerodynamic Shape Optimization (ASO) for a steady flow environment. 6,8,15,18,19 Nadarajah derived and applied the time accurate adjoint equations (both the continuous and discrete) to the redesign of an oscillating airfoil in an inviscid transonic flow. The redesigned shape achieved a reduction in the time-averaged drag while maintaining the time-averaged lift.…”
Section: Introductionmentioning
confidence: 99%