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Tuesday, July 28, 2020 | History

3 edition of Sensitivity analysis and optimization of aerodynamic configurations with blend surfaces found in the catalog.

Sensitivity analysis and optimization of aerodynamic configurations with blend surfaces

Sensitivity analysis and optimization of aerodynamic configurations with blend surfaces

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  • 21 Currently reading

Published by Dept. of Mechanical Engineering, College of Engineering & Technology, Old Dominion University, Old Dominion University Research Foundation, National Aeronautics and Space Administration, National Technical Information Service, distributor in Norfolk, Va, [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Design analysis.,
  • Aerodynamic configurations.,
  • Unstructured grids (Mathematics),
  • Sensitivity.,
  • Computer systems programs.

  • Edition Notes

    Statementby A.M. Thomas and S.N. Tiwari, principal investigator.
    Series[NASA contractor report] -- NASA CR-203841.
    ContributionsTiwari, S. N., United States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15479161M

    The numerical simulation and wind tunnel experiment are employed to investigate the aerodynamic characteristics of automobile. The object is to investigate the sensibility of aerodynamic characteristic to the underbody, and summarize the influence of aerodynamic attachments on the aerodynamic drag, which can provide more useful date as a reference to underbody design of automobile.   Advanced Aircraft Design: Conceptual Design, Analysis and Optimization of Subsonic Civil Airplanes presents a quasi-analytical optimization approach based on a concise set of sizing equations. Objectives are aerodynamic efficiency, mission fuel, .

    Aircraft Configuration Design Options Feb. 12, (a M pdf file) Configuration Options Class Presentation Feb. 22, A story about the X April 1, 5. An Overview of Aerodynamic Design including use of Computational Aerodynamics Feb. 15, (a 1M pdf file) Some sizing considerations (a K pdf of a Powerpoint file), Feb. 21, An efficient aerodynamic shape optimization method based on a computational fluid dynamics/sensitivity analysis algorithm has been developed which determines automatically the geometrical definition of an optimal surface starting from any initial arbitrary geometry.

    Dissertation: Sensitivity Analysis and Optimization of Aerodynamic Configurations With Blend Surfaces, Almuttil Mathew Thomas. PDF. Dissertation: Numerical Simulation of Complex, Three-Dimensional, Turbulent-Free Jets, Robert V. Wilson. Theses/Dissertations from PDF. processes [l. 2. 1. l. fi]. Aerodynamic design optimization via sensitivity analysis has been an important area of research in recent years. Currently used methods in aerodynamics design and optimization are divided into gradient-based methods and non-gradient methods. A description.


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Sensitivity analysis and optimization of aerodynamic configurations with blend surfaces Download PDF EPUB FB2

Get this from a library. Sensitivity analysis and optimization of aerodynamic configurations with blend surfaces. [A M Thomas; S N Tiwari; United States.

National Aeronautics and. Sensitivity analysis and optimization of aerodynamic configurations with blend surfaces [microform] Responsibility by A.M. Thomas and S.N. Tiwari, principal investigator. Sensitivity Analysis and Optimization of Aerodynamic Configurations with Blend Surfaces.

By S. Tiwari and A. Thomas. A graphic interface software is developed which dynamically changes the surface of the airplane configuration with the change in input design variable. The software is made user friendly and is targeted towards the Author: S.

Tiwari and A. Thomas. Design sensitivity analysis and optimization of steady fluid-thermal systems Computer Methods in Applied Mechanics and Engineering, Vol. No.

42 Simultaneous Aerodynamic And Structural Design Optimization (SASDO) for a 3-D wingCited by:   INTRODUCTION. Accumulated knowledge and experience with aerodynamic design through the past decades offers a chance to arrive at optimum configurations in an accelerated approach: Previous manual design and many practical case studies have contributed to the existence of starting data for new design efforts which now are supported by automatic computerized optimization Cited by: Sensitivity of Aerodynamic Optimization to Parameterized Target Functions using analysis software and optimization techniques [1] [2].

Different surfaces then blend to create the full. Aerodynamic Design Optimization Using Sensitivity Analysis and Computational Fluid Dynamics, AIAA paper 91–, Reno, NV, Jan.

7–10, Google Scholar []. Aerodynamic design optimization using sensitivity analysis and computational fluid dynamics. Design sensitivity and finite element analysis of free surface flows with application to optimal design of casting rigging systems. Discrete aerodynamic sensitivity analysis on decomposed computational domains.

Computers & Fluids, Vol. 23, No. 1. Introduction. Aerodynamic shape optimisation has become an indispensable component for any effective and robust aerodynamic design.

Between now andthere will be an estimated global demand for approximat new passenger aircraft potentially worth up to. To reduce the adverse effects of the ice on aerodynamic characteristics, a new NREL Phase VI wind turbine blade which is suitable to rime ice environments is developed through the blunt trailing-edge optimization.

The parametric control equations of blunt trailing-edge airfoil are established by adopting the airfoil profile integration theory and B-spline curve, and the curve fitting of the. For more information about surrogate models, see the article “Global optimization using response surfaces“.

Of course, there are many other strategies possible: For instance, run the sensitivity analysis as explained above and then directly apply a local optimization to a few promising design candidates (using the reduced parameter set). Sensitivity Analysis: aerodynamics, structures, coupled Results: analysis and design cases Advanced aerodynamic shape optimization methods have facilitated Aeroelastic analysis of complete configurations Comparison with experimental data 8−node isoparmetric elements.

Overview of Sensitivity Analysis and Shape Optimization for Complex Aerodynamic Configurations This paper presents a brief overview of some of the more recent advances in steady aerodynamic shape-design sensitivity analysis and optimization, based on advanced computational fluid dynamics.

The focus here is on those methods particularly well- suited to the study of. This paper presents an adjoint optimization technique and its application to the design of a transonic turbine cascade.

Capable of a quick and exact sensitivity analysis and using little computational resources, the adjoint method has been a focus of research in aerodynamic shape design optimization.

Aerodynamic Shape Sensitivity Analysis and Design Optimization of Complex Configurations Using Unstructured Grids A three-dimensional unstructured grid approach to aerodynamic shape sensitivity analysis and design optimization has been developed and is extended to model geometrically complex configurations.

The advantage of unstructured grids (when. three-dimensional configurations. Existing CFD analysis methods can be used to treat the design problem by coupling them with numerical optimization methods. The essence of these methods, which may incur heavy computa-tional expenses, is very simple: a numerical optimization procedure is used to extremize a chosen aerodynamic figure of merit which.

Overview of Sensitivity Analysis and Shape Optimization for Complex Aerodynamic Configurations,” J. Aircr., 36, No. 1 Adjoint-Response Surface Method in Aerodynamic Shape Optimization of Turbomachinery Blades.

GT Configuration Aerodynamics 1/16/18 The next example is Askin Isikveren’s innovative X-Wing concept7, known as “TOLS” for Twin Oblique Lifting Surfaces.

Shown in Figurethis concept is intended to take advantage. analysis. The adopted optimization approach is based on the Response Surface Methodology (RSM) and built on the Kriging model [2, 3, 4].

Over more standard optimization strategies based on the direct use of the flow solver for the goal function prediction [5, 6, 7], the present RSM based approach has much lower computational times.

Basing sensitivity derivative analysis which can reflect the effect of the change of sharing design variables and state variables to objective function in every optimization, the MHCDO can obtain.

4 Aerodynamic Optimization of a Combat Aircraft – Evolutionary Approach The scenario of an aerodynamic multipoint optimization for a simplified configuration without engine-nacelle (fig. 4 d) is depicted in figure 8. The reduced mission is dominated by a cruise and loiter phase, the latter of which is to be maximized.shape design optimization is no small undertaking and requires a high degree of expertise.

The objective of the Design Sensitivity Analysis and Optimization (DSO) tool 3 development is to provide design engineers with a convenient graphics-based design environment that integrates modeling and analysis tools to perform design optimization in an.Sensitivity analysis allows him to determine what level of accuracy is necessary for a parameter to make the model sufficiently useful and valid.

If the tests reveal that the model is insensitive, then it may be possible to use an estimate rather than a value with greater precision. Sensitivity analysis can also indicate which parameter values are.