Sonic Boom Reduction via Remote Inverse Adjoint Approach

Nadarajah, Siva; Soucy, Olivier; Balloch, Caleb

doi:10.2514/6.2007-56

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…The formulation and application to 3-D of the inverse design of a biconvex wing and a business jet wing body confi guration were explored. See also Nadarajah et al 39 Howe 22 has developed an approach that, utilising a 3-D non-linear, nonisentropic Euler computer model, more rigorously examines benefi ts in modifying the longitudinal distribution of cross-sectional area in a non-axisymmetric manner.…”

Section: Prediction Methodsmentioning

confidence: 98%

Innovation in supersonic passenger air travel

Smith

2012

Innovation in Aeronautics

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Section: Prediction Methodsmentioning

confidence: 98%

Innovation in supersonic passenger air travel

Smith

2012

Innovation in Aeronautics

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“…the near-field plane) within the domain of interest. This type of remote sensitivity calculation has been successfully used before by Nadarajah et al ( , 2006Nadarajah et al ( , 2007 for the steady case of sonic boom minimization and by Zingg (2007a, 2007b) for the unsteady case of turbulent flow over a single-element airfoil.…”

Section: Drag Minimization For Viscous Flow Around a Rotating Cylindermentioning

confidence: 97%

The optimal control of unsteady flows with a discrete adjoint method

Rumpfkeil

Zingg

2008

Optim Eng

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This paper presents a general framework to derive a discrete adjoint method for the optimal control of unsteady flows. The complete formulation of a generic time-dependent optimal design problem is introduced and it is outlined how to derive the discrete set of adjoint equations in a general approach. Results are shown that demonstrate the application of the theory to the drag minimization of viscous flow around a rotating cylinder, and to the remote inverse design of laminar flow around the multi-element NLR 7301 configuration at a high angle of attack. In order to reduce the considerable computational costs of unsteady optimization, the use of bigger time steps over transitional or unphysical adjusting periods as well as omitting time steps while recording the flow solution are investigated and are shown to work well in practice.

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“…Eq. (12) shows that the contribution to @I @b comes from @Ic @b as well as the constraint equations. For the first design iteration the flow and the adjoints are for the initial shape: the NACA0012) airfoil.…”

Section: Effect Of T On Optimization Processmentioning

confidence: 97%

“…These methods have found wide acceptance in aerodynamic shape optimization [7,8]. They have been utilized in various design applications in diverse areas such as aerospace [9][10][11][12], marine [13] and bio-medical engineering [14]. These methods attempt to seek the local optima in the design space.…”

Section: Introductionmentioning

confidence: 98%