Practical Design and Optimization in Computational Fluid Dynamics

Huffman, William P.; Melvin, Robin G.; Young, David P.; Johnson, F. T.; Bussoletti, John E.; Bieterman, Michael B.; Hilmes, Craig L.

doi:10.2514/6.1993-3111

Cited by 34 publications

(26 citation statements)

References 9 publications

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“…These constraints are rather nebulous and often exist only in the minds of the designers. An initial optimization capability using TRANAIR was available in 1992 72 , but it took several more years before project users were willing to trust their design processes to optimization 73 . A wide variety of payoff functions and constraints were built into TRANAIR, but the one component of a payoff function that users were really interested in was, of course, drag.…”

Section: Tranair Optimizationmentioning

confidence: 99%

Thirty Years of Development and Application of CFD at Boeing Commercial Airplanes, Seattle

Johnson

Tinoco

2003

16th AIAA Computational Fluid Dynamics Conference

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Over the last 30 years, Boeing has developed, manufactured, sold, and supported hundreds of billions of dollars worth of commercial airplanes. During this period, it has been absolutely essential that Boeing aerodynamicists have access to tools that accurately predict and confirm vehicle flight characteristics. Thirty years ago, these tools consisted almost entirely of analytic approximation methods, wind tunnel tests, and flight tests. With the development of increasingly powerful computers, numerical simulations of various approximations to the Navier-Stokes equations began supplementing these tools. Collectively, these numerical simulation methods became known as Computational Fluid Dynamics (CFD). This paper describes the chronology and issues related to the acquisition, development, and use of CFD at Boeing Commercial Airplanes in Seattle. In particular, it describes the evolution of CFD from a curiosity to a full partner with established tools in the design of costeffective and high-performing commercial transports.

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Section: Tranair Optimizationmentioning

confidence: 99%

Thirty Years of Development and Application of CFD at Boeing Commercial Airplanes, Seattle

Johnson

Tinoco

2003

16th AIAA Computational Fluid Dynamics Conference

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“…These formulations do not require to update the computational grid, but only involve modifications of the interface boundary conditions (see for instance [6,8,12,16,23,24]). Consequently, whenever the fluid-structure interface shows a "small" variation (with respect to a specified tolerance TOL trans ) between steps k and k + 1 of (10), the interface motion can be taken into account for the fluid problem through transpiration boundary conditions, without the need of updating the mesh and, consequently, the system matrices.…”

Section: New Algorithm: Bgs With Transpirationmentioning

confidence: 99%

“…A transpiration interface condition on Γ w k can be derived, in a heuristic way (see [12,16,23,24] and refer to [6,8,18] for a more rigorous justification), from a truncated Taylor expansion of the fluid velocity in the neighborhood of the reference fluid-structure interface Γ w k , see Figure 2:…”

Section: New Algorithm: Bgs With Transpirationmentioning

confidence: 99%

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Acceleration of a fixed point algorithm for fluid-structure interaction using transpiration conditions

Deparis¹,

Fernández²,

Formaggia

2003

ESAIM: M2AN

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Abstract.In this work, we address the numerical solution of fluid-structure interaction problems.This issue is particularly difficulty to tackle when the fluid and the solid densities are of the same order, for instance as it happens in hemodynamic applications, since fully implicit coupling schemes are required to ensure stability of the resulting method. Thus, at each time step, we have to solve a highly non-linear coupled system, since the fluid domain depends on the unknown displacement of the structure. Standard strategies for solving this non-linear problems, are fixed point based methods such as Block-Gauss-Seidel (BGS) iterations. Unfortunately, these methods are very CPU time consuming and usually show slow convergence. We propose a modified fixed-point algorithm which combines the standard BGS iterations with a transpiration formulation. Numerical experiments show the great improvement in computing time with respect to the standard BGS method.Mathematics Subject Classification. 65M60, 65B99, 74F10.

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“…At a 1986 conference Sobieski 4 challenged the aerodynamics community to develop a general sensitivity analysis capability, and the first papers on exact aerodynamic sensitivity analysis appeared a few years afterwards. [5][6][7][8] Of course, there had been earlier related developments. Sensitivity analysis of a limited sort was implicit in the aerodynamic optimization methods utilizing adjoint equations 9,10 that originated in the late 1970s.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary design optimization techniques - Implications and opportunities for fluid dynamics research

Zang

Green

1999

30th Fluid Dynamics Conference

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A challenge for the fluid dynamics community is to adapt to and exploit the trend towards greater multidisciplinary focus in research and technology. The past decade has witnessed substantial growth in the research field of Multidisciplinary Design Optimization (MDO). MDO is a methodology for the design of complex engineering systems and subsystems that coherently exploits the synergism of mutually interacting phenomena. As evidenced by the papers, which appear in the biannual AIAA/USAF/NASA/ISSMO Symposia on Multidisciplinary Analysis and Optimization, the MDO technical community focuses on vehicle and system design issues. This paper provides an overview of the MDO technology field from a fluid dynamics perspective, giving emphasis to suggestions of specific applications of recent MDO technologies that can enhance fluid dynamics research itself across the spectrum, from basic flow physics to full configuration aerodynamics.

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Practical Design and Optimization in Computational Fluid Dynamics

Cited by 34 publications

References 9 publications

Thirty Years of Development and Application of CFD at Boeing Commercial Airplanes, Seattle

Thirty Years of Development and Application of CFD at Boeing Commercial Airplanes, Seattle

Acceleration of a fixed point algorithm for fluid-structure interaction using transpiration conditions

Multidisciplinary design optimization techniques - Implications and opportunities for fluid dynamics research

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