2005
DOI: 10.1299/jsmeb.48.202
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Unstructured Adjoint Method for Navier-Stokes Equations

Abstract: For efficient aerodynamic design optimization, a discrete adjoint code is developed from an unstructured hybrid mesh Navier-Stokes solver. The adjoint code is verified by comparison of flux Jacobian and objective function gradient with a finite difference method. An aerodynamic design tool is developed utilizing the flow solver, adjoint code and a gradientbased optimizer and applied to a design example of a high-lift device. Use of prism layer grid sensitivities is suggested for more efficient gradient calcula… Show more

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Cited by 19 publications
(11 citation statements)
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“…Since then, it has become the subject of extensive research activity [5][6][7][8][9][10][11][12][13][14] and spawned a wide variety of applications, ranging from nuclear reactor thermo-hydraulics to atmospheric sciences [15,16]. In aerodynamics, the developments of the adjoint method encompass design applications regarding internal and external flows [17][18][19][20][21][22] and, more recently, unsteady flows [23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%
“…Since then, it has become the subject of extensive research activity [5][6][7][8][9][10][11][12][13][14] and spawned a wide variety of applications, ranging from nuclear reactor thermo-hydraulics to atmospheric sciences [15,16]. In aerodynamics, the developments of the adjoint method encompass design applications regarding internal and external flows [17][18][19][20][21][22] and, more recently, unsteady flows [23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%
“…those two terms drop from (21), and one imposes the continuity of the Lagrange multipliers through the shock wave. Then, on introducing the variations (16) into the above equation and collecting like terms, one has…”
Section: Statement Of the Problemmentioning
confidence: 99%
“…In aerodynamics, the developments of the adjoint method encompass design applications regarding internal and external flows [13,14,15,16], as well as unsteady flows [17,18,19,20]. The applications, however, also include error analysis [21,22] and grid adaptation [23,24,22,25].…”
Section: Introductionmentioning
confidence: 99%