TRANAIR - A computer code for transonic analyses of arbitrary configurations

Samant, S. S.; Bussoletti, John E.; Johnson, F. T.; Burkhart, Richard H.; Everson, B. L.; Melvin, Robin G.; Young, David P.; Erickson, L. L.; Madson, Michael D.

doi:10.2514/6.1987-34

Cited by 51 publications

(21 citation statements)

References 18 publications

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“…This difficulty may be alleviated by using mesh refinement procedures near the surface. With their aid, schemes which use Cartesian meshes have recently been developed to treat very complex configurations [132,169,26,105].…”

Section: Structured and Unstructured Meshesmentioning

confidence: 99%

A perspective on computational algorithms for aerodynamic analysis and design

Jameson

2001

Progress in Aerospace Sciences

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This paper examines the use of computational fluid dynamics as a tool for aircraft design. It addresses the requirements for effective industrial use, and trade-offs between modeling accuracy and computational costs. Essential elements of algorithm design are discussed in detail, together with a unified approach to the design of shock capturing schemes. Finally, the paper discusses the use of techniques drawn from control theory to determine optimal aerodynamic shapes. In the future multidisciplinary analysis and optimization should be combined to take account of the trade-offs in the overall performance of the complete system.

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Section: Structured and Unstructured Meshesmentioning

confidence: 99%

A perspective on computational algorithms for aerodynamic analysis and design

Jameson

2001

Progress in Aerospace Sciences

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“…This difficulty may be alleviated by using mesh refinement procedures near the surface. With their aid, schemes that use Cartesian meshes have recently been developed to treat very complex configurations (Melton, Pandya and Steger, 1993;Samant et al, 1987;Berger and LeVeque, 1989;Landsberg et al, 1993;Aftosmis, Melton and Berger, 1995). Body-fitted meshes have been widely used and are particularly well suited to the treatment of viscous flow because they readily allow the mesh to be compressed near the body surface.…”

Section: Structured and Unstructured Meshesmentioning

confidence: 99%

Aerodynamics

Jameson

2004

Encyclopedia of Computational Mechanics

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Computational methods are now pervasive in the science of aerodynamics. Because previously existing numerical methods proved inadequate for fluid flow simulations, the emergence of computational fluid dynamics (CFD) as a distinct discipline has sparked the development of an entirely new class of algorithms and a supporting body of theory, which are the main theme of this article. After a review of mathematical models of fluid flow, methods for solving the transonic potential flow equation (of mixed type) are examined. The central part of the article discusses the formulation and implementation of shock‐capturing schemes for the Euler and Navier–Stokes equations. The article next discusses the merits of the contrasting approaches of finite difference, finite volume, and finite element methods for the treatment of flows in complex geometric domains, together with the treatment of boundary conditions. A detailed presentation of explicit and implicit time‐stepping schemes for both steady and unsteady flows precedes a discussion of preconditioning and multigrid procedures for accelerating the convergence of steady state calculations. Dual time‐stepping schemes are recommended for the simulation of unsteady flow. In order to realize the potential benefits of CFD, it is essential to move beyond simulation to aerodynamic (and ultimately multidisciplinary) optimization. The article concludes with a discussion of aerodynamic shape optimization via control theory.

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“…This turbulence modelling approach is still a mainstay of aerospace design and will, according to estimates, be so for many years to come. Indeed, it seems important to note that the design of an aircraft requires many thousands of simulations and so in many aerospace companies solution of even the RANS equations is relatively rare with Euler or even full potential flow solutions (Samant et al 1987) being made. Even the latter at design conditions can predict incremental drag for geometry changes with acceptable accuracy (Tinoco 2001).…”

Section: Turbulencementioning

confidence: 99%

Introduction. Computational aerodynamics

Tucker

2007

Phil. Trans. R. Soc. A.

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The wide range of uses of computational fluid dynamics (CFD) for aircraft design is discussed along with its role in dealing with the environmental impact of flight. Enabling technologies, such as grid generation and turbulence models, are also considered along with flow/turbulence control. The large eddy simulation, Reynolds-averaged NavierStokes and hybrid turbulence modelling approaches are contrasted. The CFD prediction of numerous jet configurations occurring in aerospace are discussed along with aeroelasticity for aeroengine and external aerodynamics, design optimization, unsteady flow modelling and aeroengine internal and external flows. It is concluded that there is a lack of detailed measurements (for both canonical and complex geometry flows) to provide validation and even, in some cases, basic understanding of flow physics. Not surprisingly, turbulence modelling is still the weak link along with, as ever, a pressing need for improved (in terms of robustness, speed and accuracy) solver technology, grid generation and geometry handling. Hence, CFD, as a truly predictive and creative design tool, seems a long way off. Meanwhile, extreme practitioner expertise is still required and the triad of computation, measurement and analytic solution must be judiciously used.

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TRANAIR - A computer code for transonic analyses of arbitrary configurations

Cited by 51 publications

References 18 publications

A perspective on computational algorithms for aerodynamic analysis and design

A perspective on computational algorithms for aerodynamic analysis and design

Aerodynamics

Introduction. Computational aerodynamics

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