Development of an efficient aerodynamic shape optimization framework

Kim, Jong‐Eun; Rao, Vinay N.; Koomullil, Roy P.; Ross, Doug; Soni, Bharat K.; Shih, Alan M.

doi:10.1016/j.matcom.2009.01.012

Cited by 14 publications

(6 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The numerical calculations of aerodynamic characteristics of the original, 2M, 2T, and 2F models, performed using the CFD methods prior to the wind tunnel test campaign, were necessary in order to estimate the expected loads on the wind tunnel model. The numerical calculation was done in the FLUENT package, as it allows calculation of the aerodynamic characteristics of complex aerodynamic shapes [9][10][11][12][13][14][15][16][17][18][19]. The solid model of the missile is done in INVENTOR software.…”

Section: The Cfd Simulationmentioning

confidence: 99%

Aerodynamic shape optimization of guided missile based on wind tunnel testing and computational fluid dynamics simulation

2017

View full text Add to dashboard Cite

Original scientific paper https://doi.org/10.2298/TSCI150515184OThis paper presents modification of the existing guided missile which was done by replacing the existing front part with the new five, while the rear part of the missile with rocket motor and missile thrust vector control system remains the same. The shape of all improved front parts is completely different from the original one. Modification was performed based on required aerodynamic coefficients for the existing guided missile. The preliminary aerodynamic configurations of the improved missile front parts were designed based on theoretical and computational fluid dynamics simulations. All aerodynamic configurations were tested in the T-35 wind tunnel at the Military Technical Institute in order to determine the final geometry of the new front parts. The 3-D Reynolds averaged Navier-Stokes numerical simulations were carried out to predict the aerodynamic loads of the missile based on the finite volume method. Experimental results of the axial force, normal force, and pitching moment coefficients are presented. The computational results of the aerodynamic loads of a guided missile model are also given, and agreed well with.

show abstract

Section: The Cfd Simulationmentioning

confidence: 99%

Aerodynamic shape optimization of guided missile based on wind tunnel testing and computational fluid dynamics simulation

2017

View full text Add to dashboard Cite

show abstract

“…Then, assuming a computational mesh x (0) was embedded into b (0) prior to mesh movement, the new mesh x can be regenerated from b through Eq. (5). Notice how the control grid mimics the computational one, and as such how the overall mesh quality is maintained.…”

Section: Grid-point-based Volume Mesh Movementmentioning

confidence: 99%

Two-Level Free-Form Deformation for High-Fidelity Aerodynamic Shape Optimization

Gagnon

Zingg

2012

12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis And

View full text Add to dashboard Cite

A general and unified geometry framework based on non-uniform rational B-splines is presented. One key aspect of this framework is the use of free-form deformation where the control points defining the geometry itself are embedded rather than the usual surface grid points. This ensures that one maintains an analytical representation of the geometry as it deforms and, if required, also enables the use of an integrated algorithm for mesh movement. The flexibility and robustness of the proposed approach are demonstrated in the context of aerodynamic shape optimization by maximizing, using an Euler-based flow solver and gradient-based optimizer, the lift-to-drag ratio of an initially half-sphere-shaped geometry. Sensitivities are computed analytically via the discrete adjoint method.

show abstract

“…In this approach, several parapets with different porosities or heights are investigated, and the one that yields the best performance in reducing high suctions is identified. With the rapid development of computer hardware performance and CFD techniques in recent years, a number of optimization algorithms have been proposed in the literatures for a variety of applications including CFDbased aerodynamic shape or porosity optimization [18][19][20]. One relevant study by San et al [20] conducted the aerodynamic porosity optimization of wind fences for the shelter effect using the gradient algorithm, and the optimal fence porosities of 10.2% and 22.1% were determined, which provide the best shelter effect in the near and far wake regions, respectively.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation and Optimization of Wind Effects of Porous Parapets on Low‐Rise Buildings with Flat Roofs

Qiu

San

Zhao

2019

Advances in Civil Engineering

View full text Add to dashboard Cite

This paper presents a procedure to optimize the porosity of parapets to improve the aerodynamic behavior of low-rise buildings with flat roofs, by coupling an optimization algorithm and computational fluid dynamics (CFD) simulations. The performance of solid parapets to decrease the wind suctions on flat roofs induced by conical vortices was firstly studied, based on four turbulence closure models (standard k-ε, RNG k-ε, SST k-ω, and RSM). The simulation results were validated by comparing with the wind tunnel data. Additionally, the porous parapet was treated as a momentum sink in the governing momentum equation, and the RSM turbulence model was employed. As a result, six optimization studies focusing on the highest mean suction minimization that consider parapet height were presented. The aim of this paper is to search for the best performing porosity through an automatic CFD-based optimization methodology. At low relative heights (hp/H = 0.01∼0.05, hp is the parapet height, and H is the roof height), the porous parapet with optimal porosity in between 38.2% and 52.3% seems to be more effective than solid parapets in attenuating high corner suctions generated by conical vortices; however, the solid parapet gives the best performance in the reduction of wind suctions when hp/H ≥ 0.07.

show abstract

Development of an efficient aerodynamic shape optimization framework

Cited by 14 publications

References 23 publications

Aerodynamic shape optimization of guided missile based on wind tunnel testing and computational fluid dynamics simulation

Aerodynamic shape optimization of guided missile based on wind tunnel testing and computational fluid dynamics simulation

Two-Level Free-Form Deformation for High-Fidelity Aerodynamic Shape Optimization

Numerical Simulation and Optimization of Wind Effects of Porous Parapets on Low‐Rise Buildings with Flat Roofs

Contact Info

Product

Resources

About