<p>The purpose of this dissertation is to study the aeroelastic stability of a proposed flexible thermal protection system (FTPS) for the NASA Hypersonic Inflatable Aerodynamic Decelerator (HIAD). A flat, square FTPS coupon exhibits violent oscillations during experimental aerothermal testing in NASA's 8 Foot High Temperature Tunnel, leading to catastrophic failure. The behavior of the structural response suggested that aeroelastic flutter may be the primary instability mechanism, prompting further experimental investigation and theoretical model development. Using Von Karman's plate theory for the panel-like structure and piston theory aerodynamics, a set of aeroelastic models were developed and limit cycle oscillations (LCOs) were calculated at the tunnel flow conditions. Similarities in frequency content of the theoretical and experimental responses indicated that the observed FTPS oscillations were likely aeroelastic in nature, specifically LCO/flutter. </p><p>While the coupon models can be used for comparison with tunnel tests, they cannot predict accurately the aeroelastic behavior of the FTPS in atmospheric flight. This is because the geometry of the flight vehicle is no longer a flat plate, but rather (approximately) a conical shell. In the second phase of this work, linearized Donnell conical shell theory and piston theory aerodynamics are used to calculate natural modes of vibration and flutter dynamic pressures for various structural models composed of one or more conical shells resting on several circumferential elastic supports. When the flight vehicle is approximated as a single conical shell without elastic supports, asymmetric flutter in many circumferential waves is observed. When the elastic supports are included, the shell flutters symmetrically in zero circumferential waves. Structural damping is found to be important in this case, as "hump-mode" flutter is possible. Aeroelastic models that consider the individual FTPS layers as separate shells exhibit asymmetric flutter at high dynamic pressures relative to the single shell models. Parameter studies also examine the effects of tension, shear modulus reduction, and elastic support stiffness.</p><p>Limitations of a linear structural model and piston theory aerodynamics prompted a more elaborate evaluation of the flight configuration. Using nonlinear Donnell conical shell theory for the FTPS structure, the pressure buckling and aeroelastic limit cycle oscillations were studied for a single elastically-supported conical shell. While piston theory was used initially, a time-dependent correction factor was derived using transform methods and potential flow theory to calculate more accurately the low Mach number supersonic flow. Three conical shell geometries were considered: a 3-meter diameter 70 degree shell, a 3.7-meter 70 degree shell, and a 6-meter diameter 70 degree shell. The 6-meter configuration was loaded statically and the results were compared with an experimental load test of a 6-meter HIAD vehicle. Though agreement between theoretical and experimental strains was poor, circumferential wrinkling phenomena observed during the experiments was captured by the theory and axial deformations were qualitatively similar in shape. With piston theory aerodynamics, the nonlinear flutter dynamic pressures of the 3-meter configuration were in agreement with the values calculated using linear theory, and the limit cycle amplitudes were generally on the order of the shell thickness. Pre-buckling pressure loads and the aerodynamic pressure correction factor were studied for all geometries, and these effects resulted in significantly lower flutter boundaries compared with piston theory alone. </p><p>In the final phase of this work, the existing linear and nonlinear FTPS shell models were coupled with NASA's FUN3D Reynolds Averaged Navier Stokes CFD code, allowing for the most physically realistic flight predictions. For the linear shell structural model, the elastically-supported shell natural modes were mapped to a CFD grid of a 6-meter HIAD vehicle, and a linear structural dynamics solver internal to the CFD code was used to compute the aeroelastic response. Aerodynamic parameters for a proposed HIAD re-entry trajectory were obtained, and aeroelastic solutions were calculated at three points in the trajectory: Mach 1, Mach 2, and Mach 11 (peak dynamic pressure). No flutter was found at any of these conditions using the linear method, though oscillations (of uncertain origin) on the order of the shell thickness may be possible in the transonic regime. For the nonlinear shell structural model, a set of assumed sinusoidal modes were mapped to the CFD grid, and the linear structural dynamics equations were replaced by a nonlinear ODE solver for the conical shell equations. Successful calculation and restart of the nonlinear dynamic aeroelastic solutions was demonstrated. Preliminary results indicated that dynamic instabilities may be possible at Mach 1 and 2, with a completely stable solution at Mach 11, though further study is needed. A major benefit of this implementation is that the coefficients and mode shapes for the nonlinear conical shell may be replaced with those of other types of structures, greatly expanding the aeroelastic capabilities of FUN3D.</p> / Dissertation

The United States Air Force has specified a need for the next generation, High Altitude, Long Endurance aircraft capable of carrying advanced sensor arrays over very large distances and at extreme altitudes. These extensive set of requirements has required a radical shift away from the conventional wing & tube configurations with a new focus placed on extremely light weight and unconventional structural and aerodynamic configurations. One such example is the Boeing Joined wing SensorCraft Concept. The Joined wing concept has potential structural and sensor carrying benefits, but along with these potential benefits come several challenges. One of the primary concerns is the aeroelastic response of the aft wing, with potential adverse behaviours such as flutter and highly nonlinear structural behaviour of the aft wing under gust conditions. While nonlinear computation models have been developed to predict these responses, there exists a lack of experimental ground and flight test data for this unique joined wing configuration with which to benchmark the analytical predictions. The goal of this work is to develop a 5m, scaled version of the Boeing Joined Wing configuration and collect data, through a series of ground and flight based tests, which will allow designers to better understand the unique structural response of the configuration. A computational framework was developed that is capable of linearly scaling the aeroelastic response of the full scale aircraft and optimize a reduced scale aircraft to exhibit equivalent scaled behaviour. A series of reduced complexity models was developed to further investigate the flying characteristics of the configuration, test avionics and instrumentation systems and the develop flight control laws to adequately control the marginally stable aircraft. Lessons learned were then applied the 5m flight test article that was designed and constructed by the author. In the final stage of the project, the decision was made to relax the aeroelastically scaled constraint in order to allow additional softening of the structure to further investigate the nonlinear behaviour of the aircraft. Due to the added risk and complexity of flying this highly flexible aircraft the decision was made to produce the final aeroelastically scaled article at the 1.85m scale. This model was designed, developed and ground tested in the lead up to a follow on project which will see additional flight testing performed in conjunction with Boeing Inc. / Graduate

In both aviation and power generation, gas turbines are used as key components. An important driver of technological advance in gas turbines is the race towards environmentally friendly machines, decreasing the fuel burn, community noise and NOx emissions. Engine modifications that lead to propulsion efficiency improvements whilst maintaining minimum weight have led to having fewer stages and lower blade counts, reduced distance between blade rows, thinner and lighter components, highly three dimensional blade designs and the introduction of integrally bladed disks (blisks). These changes result in increasing challenges concerning the structural integrity of the engine. In particular for blisks, the absence of friction at the blade to disk connections decreases dramatically the damping sources, resulting in designs that rely mainly on aerodynamic damping. On the other hand, new open rotor concepts result in low blade-to-air mass ratios, increasing the influence of the surrounding flow on the vibration response.   This work presents the development and validation of a numerical tool for aeromechanical analysis of turbomachinery (AROMA - Aeroelastic Reduced Order Modeling Analyses), here applied to an industrial transonic compressor blisk. The tool is based on the integration of results from external Computational Fluid Dynamics (CFD) and Finite Element (FE) solvers with mistuning considerations, having as final outputs the stability curve (flutter analysis) and the fatigue risk (forced response analysis). The first part of the study aims at tracking different uncertainties along the numerical aeromechanical prediction chain. The amplitude predictions at two inlet guide vane setups are compared with experimental tip timing data. The analysis considers aerodynamic damping and forcing from 3D unsteady Navier Stokes solvers. Furthermore, in-vacuo mistuning analyses using Reduced Order Modeling (ROM) are performed in order to determine the maximum amplitude magnification expected. Results show that the largest uncertainties are from the unsteady aerodynamics predictions, in which the aerodynamic damping and forcing estimations are most critical. On the other hand, the structural dynamic models seem to capture well the vibration response and mistuning effects.   The second part of the study proposes a new method for aerodynamically coupled analysis: the Multimode Least Square (MLS) method. It is based on the generation of distributed aerodynamic matrices that can represent the aeroelastic behavior of different mode-families. The matrices are produced from blade motion unsteady forces at different mode-shapes fitted in terms of least square approximations. In this sense, tuned or mistuned interacting mode families can be represented. In order to reduce the domain size, a static condensation technique is implemented. This type of model permits forced response prediction including the effects of mistuning on both the aerodynamic damping as well as on the structural mode localization. A key feature of the model is that it opens up for considerations of responding mode-shapes different to the in-vacuo ones and allows aeroelastic predictions over a wide frequency range, suitable for new design concepts and parametric studies. / QC 20111125 / Turbopower, AROMA

Thesis (Ph. D.)--Duke University, 2008. / Includes bibliographical references.

La recherche en optimisation est un secteur crucial pour les constructeurs aéronautiques. La performance des appareils est un élément déterminant dans la compétition commerciale qui oppose les principaux manufacturiers du marché. L'incorporation de plus en plus massive des matériaux composites dans les avions de ligne dans les années 2000 illustre le désir des constructeurs de réduire la masse de leurs appareils pour en diminuer la consommation de kérosène. Parallèlement, la sécurité est devenue au fil des années une préoccupation majeure pour l'ensemble des acteurs. Cependant, l'emploi massif de matériaux composites, dont les propriétés physiques sont très intéressantes pour les constructeurs mais qui sont conçus avec une marge de tolérance pour des raisons de coût, induit des variations indésirables dans la structure, des incertitudes. Outre ces matériaux, d'autres éléments non prévisibles sont susceptibles de perturber la structure de l'appareil. Le modèle d'un avion en avant-projet est toujours amené à évoluer pour répondre aux évolutions des exigences du constructeur, mais des études de faisabilité doivent être menées avant que la structure ne soit totalement définie, afin de s'assurer de la viabilité du modèle. Des éléments non pris en compte dans la structure, comme les câbles, peuvent également avoir une influence non négligeable sur le comportement global de l'appareil. Ces incertitudes ont un impact non négligeable sur la stabilité de la structure en vol. Des études ont commencé à incorporer cet aspect incertain dans les processus d'optimisation, mais généralement en adaptant les algorithmes existants et sans exploiter la nature incertaine des problèmes. Afin de tenir compte de l'aspect incertain, on se propose de représenter ces incertitudes par des variables aléatoires et d'exploiter des outils théoriques développés dans d'autres domaines, notamment les outils des mathématiques financières. / Research in optimization is a fundamental field for aircraft manufacturers. The performance of airplanes is a crucial element in the commercial competition that pit main aircraft manufacturers against each other. Since 2000, composite materials have been more and more used in aircraft design. This shows the manufacturers' desire to reduce the airplane weight to diminish kerosene consumption. At the same time, safety has become a major concern for all the parties involved. But the use of composite materials, which are designed with a margin of tolerance on the physical properties to cut cost, causes unwanted variations in the structure. Other factors in the airplane design could also disrupt the overall structure of the final product. An airplane model is intended to be modified according to the manufacturer's wishes and their evolution, but feasibility studies must be carried out before the structural design is complete, in order to make sure that the model is viable. Elements which are not modeled in the structure, e.g. cables, can affect the overall behavior of the airplane. These uncertainties have a non-negligible influence on the stability of the structure during flights. Some studies have started to take into account these uncertainties in the optimization process, but they usually consist in adapting existing deterministic algorithms, without regard for the inherent uncertainty of the problem. In order to take uncertainty into account, we propose to represent these uncertainties by random variables and to use theoretical tools that are used in other domains, such as financial mathematics.

Desde o final da década de 1980 até os dias atuais a utilização de materiais inteligentes em sistemas de controle de vibrações e em problemas de conversão de energia mecânica em energia elétrica tem sido amplamente investigada. Entre os materiais inteligentes destacamos os piezelétricos, apresentando acoplamento entre os domínios elétrico e mecânico. Em casos de controle passivo de vibrações utiliza-se o efeito piezelétrico direto e a energia de vibração é dissipada em um circuito elétrico passivo. Apesar de não utilizarem uma fonte externa de energia, a faixa de frequências onde o controlador passivo tem bom desempenho é limitada em relação aos controladores ativos. Em problemas de controle ativo de vibrações o efeito piezelétrico inverso é utilizado. Neste caso, uma tensão elétrica de controle é aplicada aos piezelétricos para a atenuação de vibrações. Os sistemas híbridos de controle (ativo-passivo) associam circuitos passivos e uma fonte de tensão elétrica. Nesse caso, os efeitos piezelétricos direto e inverso são utilizados simultaneamente. Espera-se que a parte ativa do sistema híbrido necessite de menor potência elétrica de atuação (se comparado com um controlador ativo) além do sistema híbrido proporcionar melhor resposta estrutural que o sistema passivo isoladamente. Entretanto, os controladores ativos e híbridos apresentam desvantagens relacionadas com complexidades de uma lei de controle, necessidade de equipamentos externos e podem exigir elevada potência de atuação. Os controladores semi-passivos surgiram como uma alternativa aos pontos negativos dos controladores passivos, ativos e híbridos. Uma técnica semi-passiva chamada SSD (synchronized switch damping) consiste no chaveamento do material piezelétrico entre a condição de circuito aberto e a condição de curto-circuito (SSDS) ou a uma indutância (SSDI), em momentos específicos da vibração da estrutura. Em geral, a conversão eletromecânica de energia é amplificada assim como o efeito shunt damping. Dessa forma, os circuitos semi-passivos, assim como os passivos, têm sido utilizados tanto como controladores de vibração quanto em problemas de coleta piezelétrica de energia. O objetivo deste trabalho é avaliar o desempenho de controladores piezelétricos passivos, semi-passivos, ativos e híbridos na atenuação de vibrações e também em problemas aeroelásticos. O modelo piezoaeroelástico é obtido com um modelo por elementos finitos (placa de Kirchhoff) eletromecanicamente acoplado que associado a um modelo aerodinâmico não-estacionário (método de malha de dipolos) resulta um modelo piezoaeroelástico. Casos de excitação harmônica de base, entrada impulsiva e também condição de flutter são estudados. / From the late 1980s until the present date, the use of smart materials as actuators in vibration control systems and as conversers of mechanical energy into electricity has been widely investigated. Among these smart materials, the piezoelectric ones stand out, presenting a coupling between the electrical and mechanical domain. In passive vibration control, the direct piezoelectric effect is used and vibration energy is dissipated (or harvested) in a passive circuit. Although no external power source is required, the frequency bandwidth in which passive controllers have good performance is limited when compared to active controllers. In active vibration control problems, the inverse piezoelectric effect is used. In this work, a voltage source is applied on the piezoceramic patches in order to attenuate vibration. Hybrid (active-passive) vibration controllers combine passive shunt circuits with the voltage source. In this case, the direct and inverse piezoelectric effects are used simultaneously. It is expected that the active part of the hybrid system will require less energy (when compared to an active controller) and a better structural response will be obtained than the purely passive system. Nevertheless, the active and hybrid controllers present disadvantages such as complexity of a control law, require external equipment and potentially require large amounts of energy. The semi-passive controllers are a recent alternative to the drawbacks of passive, active and hybrid controllers. A semi-passive technique called SSD (synchronized switch damping) consists of using an electronic switch that the piezoelectric element is briefly switched to an electrical shunt-circuit that can be a simple short-circuit (SSDS), or a small inductance (SSDI) at specific times in the structure\'s vibration cycle (Mohammadi, 2008). In general, the electromechanical energy conversion is enhanced as well as the shunt effect damping. Therefore, the switching techniques, as well as the passive circuits, have been used both in vibration control problems and in piezoelectric energy harvesting problems. The goal of this work is to assess the performance of passive, semi-passive, active and hybrid piezoelectric controllers to attenuate vibration in aeroelastic problems. The aeroelastic model is obtained by combining an electromechanically coupled finite element model (Kirchhoff\'s plate) with an unsteady aerodynamic models (the doublet-lattice method and Roger\'s model). The case studies are carried out on an elastic wing response to a base excitation, impulse force, and the flutter condition.

In this dissertation, a continuum sensitivity method is developed for efficient and accurate computation of design derivatives for nonlinear aeroelastic structures subject to transient<br />aerodynamic loads. The continuum sensitivity equations (CSE) are a set of linear partial<br />differential equations (PDEs) obtained by differentiating the original governing equations of<br />the physical system. The linear CSEs may be solved by using the same numerical method<br />used for the original analysis problem. The material (total) derivative, the local (partial)<br />derivative, and their relationship is introduced for shape sensitivity analysis. The CSEs are<br />often posed in terms of local derivatives (local form) for fluid applications and in terms of total<br />derivatives (total form) for structural applications. The local form CSE avoids computing<br />mesh sensitivity throughout the domain, as required by discrete analytic sensitivity methods.<br />The application of local form CSEs to built-up structures is investigated. The difficulty<br />of implementing local form CSEs for built-up structures due to the discontinuity of local<br />sensitivity variables is pointed out and a special treatment is introduced. The application<br />of the local form and the total form CSE methods to aeroelastic problems are compared.<br />Their advantages and disadvantages are discussed, based on their derivations, efficiency,<br />and accuracy. Under certain conditions, the total form continuum method is shown to be<br />equivalent to the analytic discrete method, after discretization, for systems governed by a<br />general second-order PDE. The advantage of the continuum sensitivity method is that less<br />information of the source code of the analysis solver is required. Verification examples are<br />solved for shape sensitivity of elastic, fluid and aeroelastic problems. / Ph. D.

No description available.

In turbomachinery applications as propulsion and power generation, there is a continuous endeavour to design engines with higher efficiency, driving the compressor and turbine blades towards slimmer and more aerodynamically loaded configurations that frequently operate with fluids at higher temperatures and speeds. This combination of reduced design space and adverse operating environment makes the blades more susceptible to flutter and challenges the designer to predict its occurrence. Nowadays there are different CFD solvers that allow the prediction of flutter in turbomachinery; some of them are more efficient than others and provide considerable computational power savings when compared with traditional CFD methods that sometimes require the simulation of several or all the blades in a given row. The present thesis work is aimed at investigating the strengths and potential limitations of a novel time marching method for Flutter prediction in the Travelling Wave Mode (TWM) domain available in ANSYS CFX 14.5. The results are compared with experimental measurements obtained at the KTH test rig and CFD simulations in the Influence Coefficient Domain (INFC) performed in a previous MSc. Thesis in 2013. An approach in CFX to solve flutter is the Fourier Transformation method that uses only two passages with phase lagged periodic boundary conditions. In the previous thesis only one operating point was calculated using this method. This project focuses on the extension of the calculations to various operating points and expanding the solver validation. / <p>Thesis work done at Siemens Industrial Turbomachinery, Finspang, Sweden.</p>

The main objective of this research is to develop an innovative multi-fidelity multi-disciplinary design, analysis and optimization suite that integrates certain solution generation codes and newly developed innovative tools to improve the overall optimization process. The research performed herein is divided into two parts: (1) the development of an MDAO framework by integration of variable fidelity physics-based computational codes, and (2) enhancements to such a framework by incorporating innovative features extending its robustness. The first part of this dissertation describes the development of a conceptual Multi-Fidelity Multi-Strategy and Multi-Disciplinary Design Optimization Environment (M3 DOE), in context of aircraft wing optimization. M3 DOE provides the user a capability to optimize configurations with a choice of (i) the level of fidelity desired, (ii) the use of a single-step or multi-step optimization strategy, and (iii) combination of a series of structural and aerodynamic analyses. The modularity of M3 DOE allows it to be a part of other inclusive optimization frameworks. The M3 DOE is demonstrated within the context of shape and sizing optimization of the wing of a Generic Business Jet aircraft. Two different optimization objectives, viz. dry weight minimization, and cruise range maximization are studied by conducting one low-fidelity and two high-fidelity optimization runs to demonstrate the application scope of M3 DOE. The second part of this dissertation describes the development of an innovative hybrid optimization framework that extends the robustness of M3 DOE by employing a proper orthogonal decomposition-based design-space order reduction scheme combined with the evolutionary algorithm technique. The POD method of extracting dominant modes from an ensemble of candidate configurations is used for the design-space order reduction. The snapshot of candidate population is updated iteratively using evolutionary algorithm technique of fitness-driven retention. This strategy capitalizes on the advantages of evolutionary algorithm as well as POD-based reduced order modeling, while overcoming the shortcomings inherent with these techniques. When linked with M3 DOE, this strategy offers a computationally efficient methodology for problems with high level of complexity and a challenging design-space. This newly developed framework is demonstrated for its robustness on a non-conventional supersonic tailless air vehicle wing shape optimization problem. / Ph. D.