56 research outputs found
Empirical eigenfunctions: application in unsteady aerodynamics
Mención Internacional en el tÃtulo de doctorThe main aim of modal decompositions is to obtain a set of functions which can describe
in a compact way the variability contained in a set of observables/data. While this
can be easily obtained by means of the eigenfunctions of the operator from which the
observables depends, the empirical eigenfunctions allow to obtain a similar result from
a set of data, without the knowledge of the problem operator. In Fluid Mechanics and
related sciences one of the most prominent techniques to obtain empirical eigenfunctions
is referred to as Proper Orthogonal Decomposition (POD).
This thesis contains applications of the empirical eigenfunctions to (Experimental)
Aerodynamics data. The mathematical framework of the POD is introduced following
the bi-orthogonal approach by Aubry (1991). The mathematical derivation of the
POD is given, wherever possible, in its most general formulation, without bounding
it to the decomposition of a specific quantity. This choice of the author depends
on the variety of POD applications which are included in this dissertation, ranging
from signal processing problems to applications more strictly related with flow physics.
The mathematical framework includes also one of the POD extensions, the Extended
POD (EPOD), which allows to extract modes linearly correlated to the empirical
eigenfunctions of a second quantity.
The first two applications of the empirical eigenfunctions are strictly connected
with the signal treatment in experimental techniques for Fluid Mechanics. In Chapter
3, the empirical eigenfunctions are identified as an optimal basis in which perform a
"low-pass" spectral filter of experimental fluid data, such as velocity fields measured
with Particle Image Velocimetry (PIV). This filtering is extremely beneficial to reduce
the random errors contained in the PIV fields and obtain a more accurate estimate
of derivative quantities (such as, for instance, vorticity), which are more affected by
random errors. In Chapter 4 the POD is exploited for the pre-treatment of a sequence
of PIV images. The aim is to remove background and reflections, which are sources
of uncertainty in PIV measurements. In this case a "high-pass" spectral filtering is
applied to the PIV image ensemble in order to remove the highly-coherent part of the
signal corresponding to the background.
In the third and fourth applications, the POD is applied to recover the underlying
dynamics of a flow. More specifically, in Chapter 5 the POD is applied to the complex
wake of a pair of cylinders in tandem arrangement with the additional perturbation
of the wall proximity. Through this technique it is possible to track the changes in
the oscillatory behaviour of the wake instabilities ascribed to different geometrical
configurations of the cylinders. In Chapter 6 the POD and the EPOD are applied
respectively to the flow fields around an airfoil in plunging and pitching motion and
to the unsteady aerodynamic forces acting on the airfoil. The decomposition allows
to extract a reduced set of modes of the flow field which are related to the force
generation mechanism. These modes correspond to well-recognizable phenomena of
the flow which can be identified for diverse airfoil kinematics. This flow-field driven
force decomposition is analysed on the light of existing force models, enabling their
reinterpretation and driving towards possible corrections.
The final application is devoted to overcome the low temporal resolution of typical
flow field measurements, such as PIV, by proposing a robust estimation of turbulent
flows dynamics. The method employs a modified version of the EPOD to identify the
correlation between a non-time-resolved field measurement and a time-resolved point
measurement. The estimation of the time-resolved flow fields is obtained exploiting
the correlation of the flow fields with the temporal information contained in the point
measurements.El objetivo principal de las descomposiciones modales es obtener un conjunto de
funciones que sean capaces de describir de una manera compacta la variabilidad
contenida en un conjunto de observables/datos. Si bien este objetivo puede ser
fácilmente realizado mediante el uso de las autofunciones del operador del cual los
observables dependen, las autofunciones empÃricas permiten obtener un resultado
similar partiendo de un conjunto de datos sin la necesidad de conocer el operador del
problema. En Mecánica de Fluidos y en ciencias relacionadas con esta disciplina, una
de las técnicas más relevantes para obtener autofunciones empÃricas es la conocida
como Descomposición Modal Ortogonal (Proper Orthogonal Decomposition, POD).
Esta tesis contiene diversas aplicaciones de las autofunciones empÃricas en datos de
Aerodinámica (Experimental). La base matemática de la POD es introducida siguiendo
la aproximación biortogonal realizada por Aubry (1991). La formulación matemática
de la POD es expresada siempre que es posible en el marco más general posible,
sin condicionarla a la descomposición de una variable en concreto. La elección del
autor dependerá de las diferentes aplicaciones de la POD, todas ellas descritas en
la presente tesis, las cuales abarcan desde problemas de procesado de señales hasta
aplicaciones más estrictamente relacionadas con el análisis de la fÃsica del flujo. La
formulación matemática incluye también uno de las extensiones de la POD, la POD
Extendida (EPOD), la cual permite extraer modos linealmente correlacionados con las
autofunciones empÃricas de una segunda variable. Las dos primeras aplicaciones de las
autofunciones empÃricas están estrictamente relacionadas con el tratamiento de señales
en técnicas experimentales de Mecánica de Fluidos. En el CapÃtulo 3, las autofunciones
empÃricas son identificadas como una base optima, la cual se puede utilizar para realizar
un filtro pasa bajos espectral para datos experimentales de flujos, tales como campos
de velocidad obtenidos mediante la técnica de VelocimetrÃa por Imágenes de PartÃculas,
(Particle Image Velocimetry, PIV). Este tipo de filtro es muy beneficioso para reducir
los errores de carácter aleatorio contenidos en los campos de PIV y por tanto obtener
una estimación más precisa en las cantidades que precisan del uso de derivadas (por
ejemplo, la vorticidad), ya que están más afectadas por este tipo de errores. En el CapÃtulo 4, la POD es utilizada para el pretratamiento de una secuencia de imágenes
de PIV. El objetivo es reducir el fondo de la imagen y las reflexiones, ambas fuentes
de incertidumbre en las medidas de PIV. En este caso, un filtro pasa altos espectral
es aplicado al conjunto de imágenes de PIV para poder quitar la parte mayormente
correlacionada de la señal, la cual corresponde con el fondo de la imagen. En la tercera
y cuarta aplicación de la POD, está técnica es utilizada para reconstruir las dinámicas
fundamentales de un flujo. Concretamente, en el CapÃtulo 5 la POD es utilizada para
analizar la estela compleja que se produce en una pareja de cilindros en tándem con la
perturbación adicional de una pared próxima a ellos. A través de esta técnica, es posible
poder estudiar los cambios en el comportamiento oscilatorio de las inestabilidades de
la estela, las cuales están relacionadas con las diferentes configuraciones geométricas
de los cilindros. En el capÃtulo 6, la POD y la EPOD son aplicadas respectivamente
a campos fluidos y fuerzas aerodinámicas producidos por un perfil aerodinámico en
movimiento (de rotación y desplazamiento vertical) no estacionario. La técnica de
descomposición permite extraer un conjunto reducido de modos del campo fluido que
están relacionados con el mecanismo que genera las fuerzas aerodinámicas. Estos modos
corresponden con fenómenos caracterÃsticos del flujo que pueden ser identificados para
diferentes cinemáticas de perfiles aerodinámicos. Estas dinámicas del flujo que están
conectadas con las fuerzas aerodinámicas son analizadas teniendo en cuenta los modelos
ya existentes en la literatura que describen las fuerzas aerodinámicas, permitiendo su
reinterpretación e incluso pudiendo añadir posibles correcciones. La última aplicación
propuesta está destinada a subsanar la baja resolución temporal tÃpica de las medidas
de campo fluido, como en aquellas realizadas utilizando PIV, mediante una estimación
robusta de las dinámicas del flujo turbulento. El método propuesto emplea una versión
modificada de la EPOD para identificar para correlación entre un campo fluido medido
que no está resuelto en el tiempo y una medida puntual que sà que está resulta en el
tiempo. La estimación del campo fluido resuelto en el tiempo es obtenida mediante la
correlación de los campos de flujo con la información temporal contenida en la medida
puntual.This work has been partially supported by the Grant TRA2013-41103-P of the
Spanish Ministry of Economy and Competitiveness, which includes FEDER funding,
and by the Grant DPI2016-79401-R, funded by the Spanish State Research Agency
(SRA) and European Regional Development Fund (ERDF).Programa Oficial de Doctorado en Mecánica de FluidosPresidente: Bharathram Ganapathisubramani.- Secretario: Francisco Javier RodrÃguez RodrÃguez.- Vocal: Francisco J. Huera-Huart
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This bibliography lists 623 reports, articles, and other documents introduced into the NASA scientific and technical information system in Aug. 1992. The coverage includes documents on the engineering and theoretical aspects of design, construction, evaluation, testing, operation, and performance of aircraft (including aircraft engines) and associated components, equipment, and systems. It also includes research and development in aerodynamics, aeronautics, and ground support equipment for aeronautical vehicles
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NASA thesaurus. Volume 1: Hierarchical Listing
There are over 17,000 postable terms and nearly 4,000 nonpostable terms approved for use in the NASA scientific and technical information system in the Hierarchical Listing of the NASA Thesaurus. The generic structure is presented for many terms. The broader term and narrower term relationships are shown in an indented fashion that illustrates the generic structure better than the more widely used BT and NT listings. Related terms are generously applied, thus enhancing the usefulness of the Hierarchical Listing. Greater access to the Hierarchical Listing may be achieved with the collateral use of Volume 2 - Access Vocabulary and Volume 3 - Definitions
Aeronautical engineering: A continuing bibliography with indexes (supplement 295)
This bibliography lists 581 reports, articles, and other documents introduced into the NASA Scientific and Technical Information System in Sep. 1993. Subject coverage includes: design, construction and testing of aircraft and aircraft engines; aircraft components, equipment, and systems; ground support systems; and theoretical and applied aspects of aerodynamics and general fluid dynamics
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Aeronautical engineering: A cumulative index to a continuing bibliography (supplement 274)
This publication is a cumulative index to the abstracts contained in supplements 262 through 273 of Aeronautical Engineering: A Continuing Bibliography. The bibliographic series is compiled through the cooperative efforts of the American Institute of Aeronautics and Astronautics (AIAA) and the National Aeronautics and Space Administration (NASA). Seven indexes are included: subject, personal author, corporate source, foreign technology, contract number, report number, and accession number
Aeronautical enginnering: A cumulative index to a continuing bibliography (supplement 312)
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Teaching and Learning of Fluid Mechanics
This book contains research on the pedagogical aspects of fluid mechanics and includes case studies, lesson plans, articles on historical aspects of fluid mechanics, and novel and interesting experiments and theoretical calculations that convey complex ideas in creative ways. The current volume showcases the teaching practices of fluid dynamicists from different disciplines, ranging from mathematics, physics, mechanical engineering, and environmental engineering to chemical engineering. The suitability of these articles ranges from early undergraduate to graduate level courses and can be read by faculty and students alike. We hope this collection will encourage cross-disciplinary pedagogical practices and give students a glimpse of the wide range of applications of fluid dynamics
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