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Sunday, August 9, 2020 | History

3 edition of Variational methods in sensitivity analysis and optimization for aerodynamic applications found in the catalog.

Variational methods in sensitivity analysis and optimization for aerodynamic applications

Variational methods in sensitivity analysis and optimization for aerodynamic applications

progress report for the period ended June 30, 1996 ... under research grant NCC1-68

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

    Subjects:
  • Aerodynamic configurations.,
  • Calculus of variations.,
  • Boundary conditions.,
  • Design analysis.,
  • Equations of state.,
  • Euler equations of motion.,
  • Finite volume method.,
  • Internal flow.

  • Edition Notes

    Statementby A.H. Ibrahim, G.J.-W. Hou, and S.N. Tiwari, principal investigator ; submitted by the Old Dominion University Research Foundation.
    Series[NASA contractor report] -- NASA-CR-202167., NASA contractor report -- NASA CR-202167.
    ContributionsHou, G. J.-W., Tiwari, S. N., Old Dominion University. Research Foundation., United States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15506286M

    An augmented reality platform for interactive aerodynamic design and analysis. 17 June | International Journal for Numerical Methods in Engineering, Vol. , No. 1 SIAM Journal on Matrix Analysis and Applications, Vol. 39, No. 1. Reduced-Order Techniques for Sensitivity Analysis and Design Optimization of Aerospace Systems. Clear and comprehensive, this volume introduces theoretical, computational, and applied concepts and is useful both as text and as a reference book. Considerations of theoretical and computational methods include the general linear programming problem, the simplex computational procedure, the revised simplex method, more. Examples and exercises with selected answers appear in every chapter.

      Design optimisation of structures and materials becomes more important in most engineering disciplines, especially in forming. The treatment of inelastic, path-dependent materials is a recent topic in this connection. Unlike purely elastic materials, it is necessary to store and analyse the deformation history in order to appropriately describe path-dependent material behaviour.   The calculations and experimental methods used to measure blade aerodynamic performance in three separate blade studies 12–15 C. J. Bai and W. C. Wang, “ Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines,” Renewable Sustainable Energy Rev. 63, – ().

    Implementation of a multiblock sensitivity analysis method in numerical aerodynamic shape optimization: abstract. [James M Lacasse; United States. Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your. () Sensitivity analysis for 3D Maxwell's equations and its use in the resolution of an inverse medium problem at fixed frequency. Inverse Problems in Science and Engineering , () Single- and Multi-Frequency Direct Sampling Methods in a Limited-Aperture Inverse Scattering Problem.


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Variational methods in sensitivity analysis and optimization for aerodynamic applications Download PDF EPUB FB2

A variational method in design optimization and sensitivity analysis for aerodynamic applications Article in Engineering With Computers 20(1) March with 16 Reads How we measure 'reads'. Get this from a library. Variational methods in sensitivity analysis and optimization for aerodynamic applications: progress report for the period ended J under research grant NCC [A H Ibrahim; G J -W Hou; S N Tiwari; Old Dominion University.

Research Foundation.; United States. National Aeronautics and Space Administration.]. The new emerging sensitivity analysis technique for gradient-based optimization method is the continuous or variational sensitivity analysis. From a modified functional, variational method derives a set of partial differential equations, i.e., the co-state equations with their boundary conditions and the sensitivity : Adem H.

Ibrahim, Surendra N. Tiwari. August VARIATIONAL METHODS IN SENSITIVITY ANALYSIS AND OPTIMIZATION FOR AERODYNAMIC APPLICATIONS By A. Ibrahim', G. J-W. Hou^, and S. Tiwari^ Department of Mechanical Engineering Old Dominion University Norfolk, Virginia ABSTRACT Variational methods (VM) sensitivity analysis, which is the continuous alternative to the dis.

Book. Full-text available. Variational Methods in Sensitivity Analysis and Optimization for Aerodynamic Applications. Variational methods (VM) sensitivity analysis. Variational Methods in Sensitivity Analysis and Optimization for Aerodynamic Applications.

By G. J.-W. Hou, S. Tiwari and A. Ibrahim. Abstract. Variational methods (VM) sensitivity analysis, which is the continuous alternative to the discrete sensitivity analysis, is employed to derive the costate (adjoint) equations, the transversality. Variational method is applied to the state equations in order to derive the costate equations and their boundary conditions.

Thereafter, the analyses of the eigenvalues of the state and costate A variational method in design optimization and sensitivity analysis for aerodynamic applications | SpringerLink. In addition to solid mechanics and dynamics, it is applied to numerical methods, numerical grid generation, modern physics, various optimization settings, and fluid dynamics.

The contents of this book reflect the strong connection between calculus of variations and the applications for which variational methods form the fundamental s: 8.

A continuum mechanical-based formulation of the variational sensitivity analysis in structural optimization. Part I: analysis. Structural Optimization, Vol. 11, No. Optimal Control Applications and Methods, Vol. 15, No. Aerodynamic shape-sensitivity analysis and design optimization.

Nonsmoothness pervades optimization, but the way it typically arises is highly structured. Nonsmooth behavior of an objective function is usually associated, locally, with an active manifold: on this manifold the function is smooth, whereas in normal directions it is "vee-shaped."Active set ideas in optimization depend heavily on this structure.

The presentations were dedicated to the most advanced subjects in engineering and, in particular to computational fluid dynamics methods, introduction of new materials, optimization in aerodynamics, structural optimization, space missions, flight mechanics, control theory and optimization, variational methods and applications, etc.

This book. Aerodynamic optimisation has become an indispensable component for any aerodynamic design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind turbines, internal pipe flows, and cavities, among others, and is.

sensitivity analysis and optimization of coupled thermal and flow problems with applications to contraction design International Journal for Numerical Methods in Fluids, Vol.

23, No. 10 Rapid design space approximation for two-dimensional transonic aerofoil design. This is a reference text which readers having an interest in variational analysis or any of the application areas should find to be a very useful resource." (Adam B.

Levy, SIAM Review, Vol. 48 (3), ) "This two-volume book is a deep and wide treatise on variational analysis and its relationships with several fields of mathematics.

Nonlinear Analysis: Theory, Methods & Applications() An Approximate Proximal-Extragradient Type Method for System of Monotone Variational Inequalities. International Conference on E-Business and E-Government, Sensitivity analysis for a system of parametric general quasi-variational-like inequality problems in uniformly smooth Banach spaces Applied Mathematics and Computation, Vol.

No. 2 Sensitivity analysis for a system of parametric generalized mixed quasi-variational inclusions involving. There is a resurgence of applications in which the calculus of variations has direct relevance. In addition to application to solid mechanics and dynamics, it is now being applied in a variety of numerical methods, numerical grid generation, modern physics, various optimization settings, and fluid dynamics, for example.

Many of these applications, such as nonlinear optimal control theory. Nonlinear Analysis: Theory, Methods & Applications, Vol. 26, No. 12 Sensitivity Analysis in Nonlinear Programs and Variational Inequalities via Continuous Selections SIAM Journal on Control and Optimization, Vol.

33, No. The adjoint method has been widely used for single discipline sensitivity analysis and examples of its application include structural sensitivity analysis [1] and aerodynamic shape optimization [6]. Aero-Structural Sensitivity Analysis The analysis presented in the previous section for single discipline systems can be gen.

Topics and contributions at the workshop concentrated on the most advanced mathematical methods in engineering such as computational fluid dynamics methods, the introduction of new materials, theory of optimization, optimization methods applied in aerodynamics, theory of structures, space missions, flight mechanics, theories of control.

In the present talk, the strategies to apply the sensitivity analysis method to aerodynamic shape optimization problems of complex geometries are intensively discussed. To resolve the design of complicated aircraft geometries such as high-lift devices, wing/body configurations, overset mesh techniques are adopted.Nonlinear Optimization with Engineering Applications por Michael Bartholomew-Biggs,disponible en Book Depository con envío gratis.Chapter in Bentham book entitled " Advanced Numerical Methods for Complex Environmental Models: Needs and Availability.

Istvan Farago and Zahari Zlatev (Editors), Bentham Science Publishers, Published December ,ISBN: () F.X Le Dimet, I.M. Navon and R Stefanescu "Variational Data Assimilation: Optimization and Optimal.