Le rayonnement thermique joue un rôle important dans un large éventail d'applications de génie thermique comprenant des écoulements turbulents. La motivation principale de cette thèse est le besoin croissant de précision et fiabilité dans les simulations numériques appliqué à ce domaine.Cette thèse s’intéresse tout particulièrement à la compréhension physique de l’impact du rayonnement thermique sur la dynamique des fluides et le transfert thermique, ainsi que de l’influence des fluctuations turbulentes sur le transfert radiatif dans les écoulements à couche de cisaillement.L'objectif de cette thèse est de fournir des données haute-fidélités de jets libres turbulents couplés au rayonnement thermique afin de développer et de valider des modèles turbulents d’écoulements à couche de cisaillement prenant en compte les interactions de couplage. À cette fin, les jets libres turbulents sont décrits par des simulations numériques directes (DNS) couplées à une méthode de Monte-Carlo réciproque pour résoudre l'équation de transfert radiatif. La dépendance spectrale des propriétés radiatives est prise en compte avec la méthode Correlated-k (ck). L'étude numérique est réalisée avec la plus grande fidélité pour être aussi représentative que possible d'un jet réel dans un milieu participatif. La simulation est optimisée en termes de temps de calcul en tirant parti d'une méthode d'accélération appelée Acoustic Speed Reduction et en injectant de la turbulence artificielle pour améliorer les conditions d'entrée.Deux simulations directes de jets chauffés couplés au rayonnement thermique sont réalisées. D'une part, un jet chauffé avec un rayonnement modéré a été simulé et l’analyse de ses données DNS couplées a permis de dériver une nouvelle loi d’échelle pour la décroissance du profil de température. Cette mise à l'échelle rend compte des effets de la densité modifiée due à un rayonnement modéré. De plus, cela permet de distinguer si le rayonnement thermique modifie ou non la nature des mécanismes de transfert thermique dans la région développée du jet. D'autre part, un jet libre fortement chauffé a été calculé afin de quantifier les effets du rayonnement sur les champs de température et de vitesse moyens ainsi que sur les moments de second ordre.Outre les données DNS couplées, un solver RANS pour les écoulements à densité variable couplé au rayonnement thermique a été développé au cours de cette thèse. L'objectif était de quantifier directement la précision des modèles turbulents existants et d'identifier les paramètres clés pour une modélisation plus poussée des interactions de couplage. / Radiation plays an important role in a broad range of thermal engineering applications comprising turbulent flows. The growing need for accurate and reliable numerical simulations to support the design stages of such applications is the main motivation of this thesis.Of special interest in this work are the free-shear flows and the fundamental understanding of how radiation can modify their fluid dynamics and heat trans- port as well as how their turbulence fluctuations can alter radiative transfer. The goal of this thesis is to provide high-fidelity data of turbulent free jets coupled with thermal radiation in order to develop and validate free-shear turbulent models accounting for coupling interactions. To this end, turbulent free jets are described by direct numerical simulations (DNS) coupled to a reciprocal Monte- Carlo method to solve the radiative transfer equation. The spectral dependency of the radiative properties is accounted for with an accurate Correlated-k (ck) method. The numerical study is carried out with state-of-the-art fidelity to be as representative as possible of an actual jet in a participating medium. The simulation is optimized in terms of processing time taking advantage of an acceleration method called Acoustic Speed Reduction and by injecting artificial turbulence to enhance inlet boundaries.Two direct simulations of heated jets coupled with thermal radiation are carried out. On the one hand, a heated jet with moderate radiation is simulated. The analysis of its high-fidelity coupled DNS data has allow to derive a new scaling law for the decay of the temperature profile. This scaling accounts for the effects of modified density due to moderate radiation. Moreover, it allows for distinguishing whether thermal radiation modifies the nature of heat transfer mechanisms in the jet developed region or not. On the other hand, a strongly heated free jet is computed in order to quantify the effects of radiation on mean temperature and velocity fields as well as on second order moments.Besides the coupled DNS data, a RANS solver for variable-density flows coupled with thermal radiation has been implemented during the course of this thesis. The goal is to directly quantify the accuracy of the existing turbulent models, and to identify key parameters for further modeling of coupling interactions.

No description available.

Marsh vegetation is widely considered to offer protection against coastal storm damage, and vegetated flow has thus become a key area of hydrodynamic research. This study investigates the utility of simulated Spartina alterniora marsh vegetation as storm protection using an ADV measurement technique, and is the first to apply jet self-similarity analysis to characterize the overall mean and turbulent flow properties of a three-dimensional axisymmetric jet through a vegetated array. The mean axial flow of a horizontal axisymmetric turbulent jet is obstructed by three configurations of staggered arrays of vertical rigid plant stems. The entire experiment is repeated over five sufficiently high jet Reynolds number conditions to ensure normalization and subsequent collapse of data by nozzle velocity so that experimental error is obtained. All self-similarity parameters for the unobstructed free jet correspond to typical published values: the axial decay coefficient B is 5:8 +/- 0:2, the Gaussian spreading coefficient c is 85 +/- 5, and the halfwidth spreading rate eta_(1/2) is 0:093 +/- 0:003. Upon the introduction of vegetation, from partially obstructed to fully obstructed, B falls from 5:1+/- 0:2 to 4:2 +/- 0:2 and finally 3:7 +/-0:1 for the fully obstructed case, indicating that vegetation reduces axial jet velocity. Cross-sectionally averaged momentum for the unobstructed free jet is M=M0 = 1:05 +/- 0:07, confirming conservation of momentum. Failure of conservation of momentum is most pronounced in the fully obstructed scenario – M=M0 = 0:54 +/- 0:05. The introduction of vegetation increases spreading of the impinging jet. The entrainment coefficient alpha for the free jet case is 0.0575; in the fully obstructed case, alpha = 0:0631. Mean advection of mean and turbulent kinetic energy demonstrates an expected reduction in turbulence intensity within the vegetated array. In general, turbulent production decreases as axial depth of vegetation increases, though retains the bimodal profile of the free jet case; the fully vegetated case, however, exhibits clear peaks behind plant stems. Turbulent transport was shown to be unaffected by vegetation and appears to be primarily a function of axial distance from the jet nozzle. An analysis of rate of dissipation revealed that not only does the cumulative effect of upstream wakes overall depress the magnitude of spectral energy density across all wavenumbers but also that plant stems dissipate large anisotropic eddies in centerline streamwise jet flow. This study, thus, indicates that sparse emergent vegetation both reduces axial flow velocity and has a dissipative effect on jet flow. Typically, however, storm surge does not exhibit the lateral spreading demonstrated by an axisymmetric jet; therefore, the results of this study cannot conclusively support the claim that coastal vegetation reduces storm surge axial velocity.

The development of the constant voltage anemometer (CVA) for the boundary layer data system (BLDS) has been motivated by a need for the explicit autonomous measurement of velocity fluctuations in the boundary layer. The frequency response of a sensor operated by CVA has been studied analytically and experimentally. The thermal lag of the sensor is quantified by a time constant, MCVA. When the time constant is decreased, the half-amplitude cut-off frequency, fCVA, is increased, thereby decreasing the amount of attenuation during measurements. In this thesis, three main approaches have been outlined in theory and tested experimentally to determine the feasibility and effectiveness of implementing them with CVA to limit attenuation: operation at higher Vw, implementation of software compensation, and utilization of smaller diameter sensors. Operation of CVA at higher voltage results in little improvement in frequency response but is accompanied by increased danger of wire burnout. However, sensors do need to be operated at high wire voltages to be more sensitive to velocity fluctuations and less sensitive to temperature fluctuations, without reaching a temperature high enough for wire burnout. Software compensation of the CVA output has been shown not to be useful for measurements with BLDS. The electrical noise present in the CVA measurement system is amplified by the correction algorithm and creates measurements that are not representative of the fluctuations being measured. Decreasing sensor diameter leads to a significant decrease of MCVA and therefore increase of fCVA. Under similar operating conditions, a 2.5 micron diameter sensor showed less roll off in the frequency spectra (measured higher turbulence intensities) than a 3.8 micron diameter sensor for tests in both a turbulent jet and in a turbulent boundary layer. Smaller sensors are more fragile and have been shown to have a decrease in sensitivity as compared to larger sensors; however, for some applications, the increase in frequency response may be worth the trade-off with fragility and sensitivity.

A CFD validation study was made using corner supplied impinging jet ventilation operating in cooling mode. The air distribution system has two equilateral triangle shaped inlets placed 80cm above the floor at the two that share a common wall. The supply air was introduced at 2.26m/s. The temperature of the supply air at one of the inlets was slightly higher than the other. The room air velocity and temperature profiles were studied using realizable k-e, RNG k-e, k-e SST and v2-f turbulence models and compared with experimental values. Generally, the agreement between the experimental measurement data of the room air temperatures and velocities and the CFD results was very good in all turbulence models. However, the RNG k-e turbulence model showed better correlation with average errors of 1.9% and 2.8% in predicting temperature and velocity respectively. Possibility of local thermal discomfort with the indoor air were investigated using the Fanger’s thermal comfort indices and draught rate while the air quality was evaluated by the mean age of air and the diffusion coefficient. The thermal comfort indices were computed using a user-defined function and the mean age of air was computed by user- defined scalar that solves a partial differential equation that uses the source diffusivity and calculate the residence time of air in the room. The results show that there is a higher risk of draft at the ankle level (close to 20%) and the room air is freshest near the lower region at the centre of the room. The room air is oldest at the region close to the ceiling in the area between the two mannequins. The study concludes that a satisfactory prediction of thermal stratification and velocity fields can made for evaluating the indoor thermal comfort and air quality using RANS based turbulence models.

Cette étude s'inscrit dans l'effort de réduction des nuisances sonores des avions au décollage. Une des principales composantes est le bruit de jet, dont la partie à basse fréquence peut notamment être imputée au rayonnement acoustique directif des structures cohérentes de grande échelle engendrées par les instabilités dans la couche de mélange du jet. L'évolution de ces ondes d'instabilité peut être décrite au moyen des équations de Stabilité Parabolisées (PSE). Un premier objectif a été de déterminer si dans le cas d'un jet turbulent naturel, les interactions non linéaires entre les ondes d'instabilité ont un impact significatif sur sa dynamique et sur son rayonnement acoustique. À cet effet, une modélisation PSE non linéaire a été développée et appliquée à une configuration réaliste. La possibilité de manipuler ces ondes d'instabilité par non linéarité a ensuite été étudiée en vue d'une réduction du rayonnement acoustique. Pour cela, une analyse PSE a été menée pour déterminer l'effet sur le bruit de jet de l'excitation d'un ou plusieurs modes instables. Ces travaux de thèse ont permis de montrer, d'une part, que les non linéarités semblent avoir un impact mineur sur la dynamique des ondes d'instabilité dans le cas des jets turbulents naturels, et d'autre part, qu'il est possible de réduire le rayonnement acoustique des modes dominants par interactions non linéaires. / This study is part of the effort to reduce aircraft noise during take-off. Jet noise is oneof the main contributors, of which lower frequency component can be attributed to thedirective acoustic field generated by the large-scale coherent structures arising from jetmixing-layer instabilities. The development of these instability waves can be describedusing Parabolized Stability Equations (PSE). A first objective was to determine if inthe case of a natural turbulent jet, nonlinear interactions between instability waveshave a significant impact on its dynamic and acoustic behaviour. For this purpose,a nonlinear PSE model has been developed and applied to a realistic configuration.Then, the possibility to manipulate these instability waves by means of nonlinearity wasinvestigated with a view to reduce noise. To this end, a PSE analysis has been carried outto assess the impact on jet noise of exciting one or more unstable modes. The findingsof this doctoral work demonstrate a minor impact of nonlinearities on the dynamics ofinstability waves for natural turbulent jets on the one hand, and the possibility to makethe initially dominant instability acoustically ineffective using nonlinear interactions onthe other hand.

<p dir="ltr">Addressing the pressing need for reduced carbon emissions, Turbulent Jet Ignition (TJI) emerges as a promising technology for ultra-lean combustion, offering enhanced thermal efficiencies and minimized cyclic variability in spark-ignited engines. To facilitate rapid testing and integration of this technology, a robust computational modeling framework is crucial. This study delves into the predictive capabilities of computational models for main-chamber ignition and premixed flame propagation using a single-cycle TJI rig measured by Biswas et al. (Applied Thermal Engineering, volume 106, 2016). Employing an open-source compressible flow simulation solver with Large Eddy Simulation (LES) for turbulence modeling, the investigation integrates the conventional Laminar Finite Rate Chemistry (LFRC) model alongside the transported Probability Density Method (PDF) for turbulence-chemistry interaction. A fully-consistent Eulerian Monte-Carlo Fields (EMCF) method is utilized to approximate the transported PDF, while Interaction by Exchange with Mean is employed to close micro-mixing terms in stochastic differential equations. A reduced chemical reaction mechanism with 21 species and 84 reactions (DRM-19) is used for solving chemical kinetics, and a double Gaussian energy deposition model is used to approximate the spark ignition in the pre-chamber. An unstructured O-grid mesh with 0.3 million cells in the pre-chamber and 1 million cells in the main chamber is employed. Results are divided into two phases: pre-chamber initialization and full TJI simulations. Validation of the predicted pre-chamber flame propagation and the lean ignition in the main-chamber is carried out by using available experimental data. Under quiescent conditions, both the LFRC and transported PDF methods largely underestimate the flame speed and subsequent pressure growth in the pre-chamber. A linear momentum forcing technique is applied to investigate the impact of initial turbulence in the pre-chamber, demonstrating a notable influence on flame propagation. Fine-tuning of the forcing coefficient reproduces the sudden pressure growth observed in the experiment. The experimentally validated pre-chamber simulation serves as the initial condition for the full TJI simulations. It is found that the LFRC model fails to predict lean-ignition in the main-chamber, resulting in a misfiring event. Incorporation of turbulence-chemistry interaction using the transported PDF method substantially improves the prediction of the ignition event in the main-chamber, achieving fair qualitative agreement and quantitative validation of combustion parameters within 10% of the reported experimental data. The rich simulation results consisting of a full set of statistical description of the thermo-chemical states enable us to gain deep insights into the ignition mechanisms in the main chamber, which is limited when done experimentally. A novel dual ignition phenomenon is revealed in the TJI rig for the first time. Initially, a primary ignition kernel is formed at a downstream location which eventually detaches from the main jet. As the jet momentum decreases, a secondary ignition event follows, this time at a more upstream location which eventually combines with the primary ignition kernel to form a single connected flame front. Investigation of these ignition sequences in chemical composition space reveal distinct differences between the two. The primary ignition event in the main-chamber is followed by a large concentration of active radicals from the pre-chamber jet, accelerating the chain-branching steps, characterizing what has been referred to as flame ignition. In contrast, the secondary ignition occurs in the absence of active radicals in the pre-chamber jet, hence characterized as jet ignition. Further analysis of the effect of pre-chamber jet characteristics on lean ignition in the main-chamber is conducted by setting up cases with different initial pressure ratios (p_r^o) between the two chambers, a non-dimensional parameter, ranging from 1.2 to 3.2. As the initial pressure ratio increases, jet momentum increases, with dual ignition observed in cases above p_r^o= 2.2. Case with p_r^o= 3.2 lead to misfiring. The effect of ignition sequence on global combustion characteristics of TJI is analyzed. Dual ignition events lead to non-monotonicity in combustion characteristics such as global reaction progress variable, flame penetration, and global heat release rate. In dual ignition events, although the rate of fuel consumption and global heat release rate is initially lower, the secondary ignition leads to a sudden increase in flame surface area, resulting in a sudden jump and promoting the overall performance of the TJI system.</p>

[ES] Debido a las regulaciones en materia de emisiones y CO2 la industria automotriz a desarrollado diferentes tecnologías innovadoras. Estas tecnologías incluyen combustibles alternativos y nuevos modos de combustión, entre otros. De aquí surge la necesidad del desarrollo de nuevos métodos para el control de la combustión en estas condiciones mencionadas. Por este motivo, en este trabajo se han desarrollado diferentes modelos e indicadores orientados al diagnóstico y control de la combustión tanto en condiciones normales como anormales. Para los casos de combustión normal, se ha desarrollado un modelo de combustión, cuyo objetivo es estimar la media de la evolución de la fracción de la masa quemada y la presión dentro del cilindro. Se implementó un observador, basado en la señal de knock, con la finalidad de mejorar la estimación en condiciones transitorias y poder aplicar así el modelo a diferentes tipos de combustibles. También se presenta un modelo de variabilidad cíclica, en el cual, a partir del modelo de combustión, se propaga una distribución en dos de los parámetros de dicho modelo. Ambos modelos han sido aplicados para un motor de encendido provocado y un motor de combustión de encendido por chorro turbulento. En los casos de combustión anormal, se ha incluido un análisis de la resonancia dentro de la cámara de combustión, en donde también se desarrollaron dos modelos capaces de estimar la evolución de la resonancia. Estos modelos, tanto para condiciones normales como anormales, se utilizaron para el diagnóstico de la combustión. Por una parte, para la detección de knock, en donde tres estrategias de detección de knock fueron desarrolladas: dos basadas en el sensor de presión en cámara y una en el sensor de knock. Por otra parte, se realizó una aplicación de un modelo de resonancia para la mejora de la estimación de la masa atrapada a partir de la resonancia. Finalmente, para mostrar el potencial de los modelos de diagnóstico, dos aplicaciones a control se desarrollaron: una para el control de knock a través de la actuación de la chispa, y otra para el control de gases residuales, a través de la actuación de la distribución variable, realizando paralelamente una optimización de la combustión a través de la actuación de la chispa. / [CA] Impulsada per les regulacions en matèria d'emissions i CO2 la indústria automotriu a desenvolupat diferents tecnologies inovadore. Aquestes tecnologies inclouen combustibles alternatius i nous modes de combustió, entre altres. D'ací sorgix la necessitat posar en pràctica nous mètodes per al control de la combustió. En aquest context, el present trevall proposa diferents models i indicadors orientats al diagnòstic i control de la combustió tant en condicions normals com anormals. Per als casos de combustió normal, es proposa un model de combustió, l'objectiu del qual és estimar la mitjana de l'evolució de la fracció de la massa cremada i la pressió dins del cilindre. Es va implementar un observador, basat en la senyal de knock, amb la finalitat de millorar l'estimació en condicions transitòries i poder aplicar així el model a diferents tipus de combustibles. També es presenta un model de variabilitat cíclica, en el qual, a partir del model de combustió, es propaga una distribució en dos dels parametres del dit model. Ambdós models han sigut aplicats a un motor d'encesa provocada i un motor de combustió d'encesa per doll turbulent. Als casos de combustió anormal, s'ha inclos un anàlisi de la ressonància dins de la cambra de combustió, on també es van desenvolupar dos models capaços d'estimar l'evolució de la ressonància. Aquests models, tant per a condicions normals com anormals, s'utilitzen per al diagnòstic de la combustió. Per una part, per a la detecció de knock, on tres estratègies de detecció de knock s'han desenvolupat: dues basades en el sensor de pressió a la cambra de combustió i una altra basada en el sensor de knock. Per altra part, es va realitzar una aplicació d'un model de ressonància per a la millora de l'estimació de la massa atrapada a partir de la ressonància. Finalment, per a mostrar el potencial dels models de diagnòstic, dos aplicacions de control es van desenvolupar: una per al control de knock a través de l'actuació de l'espurna, i una altra per al control de gasos residuals, a través de l'actuació de la distribució variable, realitzant paral·lelament una optimització de la combustió a través de l'actuació de l'espurna. / [EN] The need to satisfy emissions and CO2 regulations is pushing the automotive industry to develop different innovative technologies. These technologies include alternative fuels and new modes of combustion, among others. Therefore, the need for the development of new methods for combustion control in these mentioned conditions arises. For this reason, in this work different models and indicators have been developed aimed at the diagnosis and control of combustion in both normal and abnormal conditions. For normal combustion cases, a combustion model has been developed, the objective of this model is to estimate the mean of evolution of the mass fraction burned and the in-cylinder pressure. An observer had been implemented, based on knock sensor signal, in order to improve the estimation in transient conditions and also to be able to make use of the model with different fuels. A cyclic variability model is also presented, where from the combustion model, a probability distribution is propagated over two of the parameters of such model. Both models had been applied for a spark ignition engine and a turbulent jet ignition combustion engine. For the abnormal combustion cases, an analysis of the resonance within the combustion chamber had been included, where two models capable of estimating the evolution of the resonance were also developed. These models, for both normal and abnormal conditions, were used for the diagnosis of combustion: on the one hand, for knock recognition, where three knock detection strategies were developed: two based on the in-cylinder pressure sensor and one on the knock sensor. On the other hand, an application of a resonance model was carried out in order to improve the estimation of the trapped mass from the resonance excitation. Finally, to show the potential of such models and applications, two control strategies were developed: one for the control of knock through the actuation of the spark advance, and a second for the control of residual gases, through the actuation of the variable valve timing, while optimizing the combustion through the actuation of the spark advance. / El trabajo desarrollado en esta tesis ha sido posible gracias a la financiación de la Generalitat Valenciana y el fondo social europeo a través de la beca 132 GRISO- LIAP/2018/132 y BEFPI/2021/042. / Jiménez, IA. (2022). Development of Combustion Indicators for Control of Multi-Fuel Engines Based on New Combustion Concepts [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/181561 / TESIS