Application studies using the 3DOPT integrated design system

Herling, W. W.; LeDouxf, Stephen T.; Ratclifff, Robert R.

doi:10.2514/6.1998-4720

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…The objective of the experiment was to estimate optimum settings (regions in design space) of the twist variables that minimize drag subject to lift equal a fixed value (£><))• There is also a constraint on the maximum curvature which is (relatively) cheap to evaluate. More details are given in [23].…”

Section: Wing*mentioning

confidence: 99%

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Design and analysis of computer experiments

Booker

1998

7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization

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This paper describes the application of a systematic method for design studies with a complex computer simulation. The statistical theory of Design of Experiments (DoE) is such a method. The paper describes the methods and some applications of a particular approach to DoE for these complex computer simulations: Design and Analysis of Computer Experiments (DACE) [32,25]. The DACE approach is illustrated with two examples: An analysis code used to understand the effects of structural properties of a helicopter rotor on a measure of rotor vibration and a computational fluid dynamics (CFD) code used to estimate effect of geometry variables on aerodynamic quantities drag and lift on an aerodynamic surface. We describe briefly the examples and present some data illustrating the DACE analysis of the experiments and the results of approximate model refinement strategies. We conclude that DACE methods provide an effective approach for exploring design space globally, for understanding the important variables in a problem and for reducing the dimension of an optimization problem with a flexible class of approximate models that can iteratively be improved in regions of interest.

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Section: Wing*mentioning

confidence: 99%

“…The third and fourth sections describe briefly the examples and present some data illustrating the DACE analysis and the results of model refinement strategies. As this paper is in part a supporting paper for [20,23], more detailed descriptions of the problems and comparisons of optimization strategies are given therein.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of computer experiments

Booker

1998

7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization

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“…Generally speaking, however, this approach is confined to situations in which the design variables and the objective function are taken from the same surface; they don't apply, for example, to the design of the shape of an engine nacelle to optimize the performance of a wing. When effective estimates of desired pressure distributions cannot be made and for cases in which there may be many local minima, the DACE (Design and Analysis of Computer Experiments) approach used in the 3DOPT 93 tool and/or methods such as genetic algorithms can be used to explore the design space. The DACE and genetic algorithm approaches do suffer, however, from the curse of dimensionality, rapidly becoming impractical as the number of design variables increases.…”

Section: Figure 14mentioning

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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Using approximate models for engineering design

Cramer¹

1998

7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization

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Application studies using the 3DOPT integrated design system

Cited by 4 publications

References 3 publications

Design and analysis of computer experiments

Design and analysis of computer experiments

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

Using approximate models for engineering design

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