Academic literature on the topic 'Turbulence modeling'

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Journal articles on the topic "Turbulence modeling"

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Souza, José Francisco Almeida de, José Luiz Lima de Azevedo, Leopoldo Rota de Oliveira, Ivan Dias Soares, and Maurício Magalhães Mata. "TURBULENCE MODELING IN GEOPHYSICAL FLOWS – PART I – FIRST-ORDER TURBULENT CLOSURE MODELING." Revista Brasileira de Geofísica 32, no. 1 (March 1, 2014): 31. http://dx.doi.org/10.22564/rbgf.v32i1.395.

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ABSTRACT. The usage of so-called turbulence closure models within hydrodynamic circulation models comes from the need to adequately describe vertical mixing processes. Even among the classical turbulence models; that is, those based on the Reynolds decomposition technique (Reynolds Averaged Navier-Stokes – RANS), there is a variety of approaches that can be followed for the modeling of turbulent flows (second moment) of momentum, heat, salinity, and other properties. Essentially, these approaches are divided into those which use the concept of turbulent viscosity/diffusivity in the modeling of the second moment, and those which do not use it. In this work we present and discuss the models that employ this concept, in which the viscosity can be considered constant or variable. In this latter scenario, besides those that use the concepts of mixture length, the models that use one or two differential transport equations for determining the viscosity are presented. The fact that two transport equations are used – one for the turbulent kinetic energy and the other for the turbulent length scale – make these latter ones the most complete turbulent closure models in this category. Keywords: turbulence modeling, turbulence models, first-order models, first-order turbulent closure. RESUMO. A descrição adequada dos processos de mistura vertical nos modelos de circulação hidrodinâmica é o objetivo dos chamados modelos de turbulência, os quais são acoplados aos primeiros. Mesmo entre os modelos clássicos de turbulência, isto é, aqueles que se baseiam na técnica de decomposição de Reynolds (Reynolds Averaged Navier-Stokes – RANS), existe uma variedade de abordagens que podem ser seguidas na modelagem dos fluxos turbulentos (segundos momentos) de momentum, calor, salinidade e outras propriedades. Fundamentalmente estas abordagens dividem-se entre aquelas que utilizam o conceito de viscosidade/ difusividade turbulenta na modelagem dos segundos momentos, e aquelas que não o utilizam. Nesse trabalho são apresentados e discutidos os modelos que empregam este conceito, onde a viscosidade pode ser considerada constante ou variável. No caso variável, além daqueles que utilizam o conceito de comprimento de mistura, são ainda apresentados os modelos que utilizam uma ou duas equações diferenciais de transporte para a determinação da viscosidade. O fato de empregar duas equações de transporte, uma para a energia cinética turbulenta e outra para a escala de comprimento turbulento, fazem destes últimos os mais completos modelos de fechamento turbulento desta categoria. Palavras-chave: modelagem da turbulência, modelos de turbulência, modelos de primeira ordem, fechamento turbulento de primeira orde
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Calbet, Xavier, Niobe Peinado-Galan, Sergio DeSouza-Machado, Emil Robert Kursinski, Pedro Oria, Dale Ward, Angel Otarola, Pilar Rípodas, and Rigel Kivi. "Can turbulence within the field of view cause significant biases in radiative transfer modeling at the 183 GHz band?" Atmospheric Measurement Techniques 11, no. 12 (November 30, 2018): 6409–17. http://dx.doi.org/10.5194/amt-11-6409-2018.

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Abstract. The hypothesis whether turbulence within the passive microwave sounders field of view can cause significant biases in radiative transfer modeling at the 183 GHz water vapor absorption band is tested. A novel method to calculate the effects of turbulence in radiative transfer modeling is presented. It is shown that the turbulent nature of water vapor in the atmosphere can be a critical component of radiative transfer modeling in this band. Radiative transfer simulations are performed comparing a uniform field with a turbulent one. These comparisons show frequency dependent biases which can be up to several kelvin in brightness temperature. These biases can match experimentally observed biases, such as the ones reported in Brogniez et al. (2016). Our simulations show that those biases could be explained as an effect of high-intensity turbulence in the upper troposphere. These high turbulence phenomena are common in clear air turbulence, storm or cumulus cloud situations.
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Stamenkovic, Zivojin, Milos Kocic, and Jelena Petrovic. "The CFD modeling of two-dimensional turbulent MHD channel flow." Thermal Science 21, suppl. 3 (2017): 837–50. http://dx.doi.org/10.2298/tsci160822093s.

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In this paper, influence of magnetic field on turbulence characteristics of twodimensional flow is investigated. The present study has been undertaken to understand the effects of a magnetic field on mean velocities and turbulence parameters in turbulent 2-D channel flow. Several cases are considered. First laminar flow in a channel and MHD laminar channel flow are analyzed in order to validate model of magnetic field influence on electrically conducting fluid flow. Main part of the paper is focused on MHD turbulence suppression for 2-D turbulent flow in a channel and around the flat plate. The simulations are performed using ANSYS CFX software. Simulations results are obtained with BSL Reynolds stress model for turbulent and MHD turbulent flow around flat plate. The nature of the flow has been examined through distribution of mean velocities, turbulent fluctuations, vorticity, Reynolds stresses and turbulent kinetic energy.
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Banks, J., and N. W. Bressloff. "Turbulence Modeling in Three-Dimensional Stenosed Arterial Bifurcations." Journal of Biomechanical Engineering 129, no. 1 (July 28, 2006): 40–50. http://dx.doi.org/10.1115/1.2401182.

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Under normal healthy conditions, blood flow in the carotid artery bifurcation is laminar. However, in the presence of a stenosis, the flow can become turbulent at the higher Reynolds numbers during systole. There is growing consensus that the transitional k−ω model is the best suited Reynolds averaged turbulence model for such flows. Further confirmation of this opinion is presented here by a comparison with the RNG k−ϵ model for the flow through a straight, nonbifurcating tube. Unlike similar validation studies elsewhere, no assumptions are made about the inlet profile since the full length of the experimental tube is simulated. Additionally, variations in the inflow turbulence quantities are shown to have no noticeable affect on downstream turbulence intensity, turbulent viscosity, or velocity in the k−ϵ model, whereas the velocity profiles in the transitional k−ω model show some differences due to large variations in the downstream turbulence quantities. Following this validation study, the transitional k−ω model is applied in a three-dimensional parametrically defined computer model of the carotid artery bifurcation in which the sinus bulb is manipulated to produce mild, moderate, and severe stenosis. The parametric geometry definition facilitates a powerful means for investigating the effect of local shape variation while keeping the global shape fixed. While turbulence levels are generally low in all cases considered, the mild stenosis model produces higher levels of turbulent viscosity and this is linked to relatively high values of turbulent kinetic energy and low values of the specific dissipation rate. The severe stenosis model displays stronger recirculation in the flow field with higher values of vorticity, helicity, and negative wall shear stress. The mild and moderate stenosis configurations produce similar lower levels of vorticity and helicity.
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Drygala, C., B. Winhart, F. di Mare, and H. Gottschalk. "Generative modeling of turbulence." Physics of Fluids 34, no. 3 (March 2022): 035114. http://dx.doi.org/10.1063/5.0082562.

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We present a mathematically well-founded approach for the synthetic modeling of turbulent flows using generative adversarial networks (GAN). Based on the analysis of chaotic, deterministic systems in terms of ergodicity, we outline a mathematical proof that GAN can actually learn to sample state snapshots from the invariant measure of the chaotic system. Based on this analysis, we study a hierarchy of chaotic systems starting with the Lorenz attractor and then carry on to the modeling of turbulent flows with GAN. As training data, we use fields of velocity fluctuations obtained from large-eddy simulations (LES). Two architectures are investigated in detail: we use a deep, convolutional GAN (DCGAN) to synthesize the turbulent flow around a cylinder. We furthermore simulate the flow around a low-pressure turbine stator using the pix2pixHD architecture for a conditional DCGAN being conditioned on the position of a rotating wake in front of the stator. The settings of adversarial training and the effects of using specific GAN architectures are explained. We thereby show that GAN are efficient in simulating turbulence in technically challenging flow problems on the basis of a moderate amount of training data. GAN training and inference times significantly fall short when compared with classical numerical methods, in particular, LES, while still providing turbulent flows in high resolution. We furthermore analyze the statistical properties of the synthesized and LES flow fields, which agree excellently. We also show the ability of the conditional GAN to generalize over changes of geometry by generating turbulent flow fields for positions of the wake that are not included in the training data.
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Brandenburg, Axel, and Åke Nordlund. "Astrophysical turbulence modeling." Reports on Progress in Physics 74, no. 4 (March 14, 2011): 046901. http://dx.doi.org/10.1088/0034-4885/74/4/046901.

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Fan, Wenyuan, and Henryk Anglart. "Progress in Phenomenological Modeling of Turbulence Damping around a Two-Phase Interface." Fluids 4, no. 3 (July 18, 2019): 136. http://dx.doi.org/10.3390/fluids4030136.

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The presence of a moving interface in two-phase flows challenges the accurate computational fluid dynamics (CFD) modeling, especially when the flow is turbulent. For such flows, single-phase-based turbulence models are usually used for the turbulence modeling together with certain modifications including the turbulence damping around the interface. Due to the insufficient understanding of the damping mechanism, the phenomenological modeling approach is always used. Egorov’s model is the most widely-used turbulence damping model due to its simple formulation and implementation. However, the original Egorov model suffers from the mesh size dependency issue and uses a questionable symmetric treatment for both liquid and gas phases. By introducing more physics, this paper introduces a new length scale for Egorov’s model, making it independent of mesh sizes in the tangential direction of the interface. An asymmetric treatment is also developed, which leads to more physical predictions for both the turbulent kinetic energy and the velocity field.
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Karpov, Platon I., Chengkun Huang, Iskandar Sitdikov, Chris L. Fryer, Stan Woosley, and Ghanshyam Pilania. "Physics-informed Machine Learning for Modeling Turbulence in Supernovae." Astrophysical Journal 940, no. 1 (November 1, 2022): 26. http://dx.doi.org/10.3847/1538-4357/ac88cc.

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Abstract Turbulence plays an important role in astrophysical phenomena, including core-collapse supernovae (CCSNe), but current simulations must rely on subgrid models, since direct numerical simulation is too expensive. Unfortunately, existing subgrid models are not sufficiently accurate. Recently, machine learning (ML) has shown an impressive predictive capability for calculating turbulence closure. We have developed a physics-informed convolutional neural network to preserve the realizability condition of the Reynolds stress that is necessary for accurate turbulent pressure prediction. The applicability of the ML subgrid model is tested here for magnetohydrodynamic turbulence in both the stationary and dynamic regimes. Our future goal is to utilize this ML methodology (available on GitHub) in the CCSN framework to investigate the effects of accurately modeled turbulence on the explosion of these stars.
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Allouche, Mohammad, Elie Bou-Zeid, Cedrick Ansorge, Gabriel G. Katul, Marcelo Chamecki, Otavio Acevedo, Sham Thanekar, and Jose D. Fuentes. "The Detection, Genesis, and Modeling of Turbulence Intermittency in the Stable Atmospheric Surface Layer." Journal of the Atmospheric Sciences 79, no. 4 (April 2022): 1171–90. http://dx.doi.org/10.1175/jas-d-21-0053.1.

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Abstract Intermittent transitions between turbulent and nonturbulent states are ubiquitous in the stable atmospheric surface layer (ASL). Data from two field experiments in Utqiaġvik, Alaska, and from direct numerical simulations are used to probe these state transitions so as to (i) identify statistical metrics for the detection of intermittency, (ii) probe the physical origin of turbulent bursts, and (iii) quantify intermittency effects on overall fluxes and their representation in closure models. The analyses reveal three turbulence regimes, two of which correspond to weakly turbulent periods accompanied by intermittent behavior (regime 1: intermittent; regime 2: transitional), while the third is associated with a fully turbulent flow. Based on time series of the turbulence kinetic energy (TKE), two nondimensional parameters are proposed to diagnostically categorize the ASL state into these regimes; the first characterizes the weakest turbulence state, while the second describes the range of turbulence variability. The origins of intermittent turbulence activity are then investigated based on the TKE budget over the identified bursts. While the quantitative results depend on the height, the analyses indicate that these bursts are predominantly advected by the mean flow, produced locally by mechanical shear, or lofted from lower levels by turbulent ejections. Finally, a new flux model is proposed using the vertical velocity variance in combination with different mixing length scales. The model provides improved representation (correlation coefficients with observations of 0.61 for sensible heat and 0.94 for momentum) compared to Monin–Obukhov similarity (correlation coefficients of 0.0047 for sensible heat and 0.49 for momentum), thus opening new pathways for improved parameterizations in coarse atmospheric models. Significance Statement Airflow in the lowest layer of the atmosphere is often modulated by a strong gradient of temperature when the surface is much cooler than the air. Such a regime results in weak turbulence and mixing, and is ubiquitous during nighttime and in polar regions. Understanding and modeling atmospheric flow and turbulence under such conditions are further complicated by “turbulence intermittency,” which manifests as periods of strong turbulent activity interspersed in a more quiescent airflow. The turbulent periods dominate the air–surface exchanges even when they occur over a small fraction of the time. This paper develops approaches to detect and classify such intermittent regimes, examines how the turbulent bursts are generated and advected, and offers guidance on representing such regimes in geophysical models. The findings have the potential to advance weather forecasting and climate modeling, particularly in the all-important polar regions.
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Liu, Zhenchen, Peiqing Liu, Hao Guo, and Tianxiang Hu. "Experimental investigations of turbulent decaying behaviors in the core-flow region of a propeller wake." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 2 (August 1, 2019): 319–29. http://dx.doi.org/10.1177/0954410019865702.

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This work investigates the turbulent decaying behaviors downstream of a propeller in the core-flow region. Both axial and tangential velocity fluctuations behind a two-bladed propeller were measured using a stationary hot-wire probe. Unexpectedly, the complex near-wake core-flow of the propeller is found to show a similar decay characteristic of homogeneous turbulence, such as grid turbulence. The decay of turbulence intensity is found to be dominated by the level of periodic velocity fluctuations, showing a similar behavior of the homogenous and isotropic turbulence. This turbulent decaying behavior of the core-flow can be adopted for future turbulent modeling techniques.
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Dissertations / Theses on the topic "Turbulence modeling"

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Widlund, Ola. "Modeling of magnetohydrodynamic turbulence." Doctoral thesis, Stockholm, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3065.

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Tera, Sridhar R. "Turbulence modeling of solar convection." abstract and full text PDF (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1446423.

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PASINATO, HUGO DARIO. "TURBULENCE IN WALL REGION MODELING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1998. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19290@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Neste trabalho são apresentados de uma pesquisa orientada à modelagem da turbulência de baixos números de Reynolds. Com esse objetivo foi caracterizado o escoamento turbulento de baixos números de Reynolds na região viscosa vizinha a uma parede, na base de dados experimentais e correlação empírica. Sobre essa caracterização foi feita uma análise dos valores médios de interesse para modelos de turbulência de duas equações, a qual permitiu obter conclusões sobre o comportamento da turbulência de baixos Reynolds e propor modelos para a mesma. Essa modelagem implica em fornecer um fechamento para a equação de dissipação de energia cinética turbulenta e uma expressão para a viscosidade efetiva da turbulência, na região viscosa. O fechamento da equação de dissipação foi feito analisando os termos fontes de vorticidade, usando resultados prévios da ordem de grandeza relativa dos mesmos. A equação de dissipação obtida desse modo não contém funções de amortecimento. Com relação à expressão proposta para calcular a viscosidade efetiva de turbulência, considera-se que a transferência de quantidade de movimento devido à turbulência pode ser obtida em função da energia cinética do escoamento médio. Considera-se que a modelagem proposta é uma complementação para modelos de turbulência de duas equações, para simular zonas de baixos Reynolds incluídos os casos em sub-camada logarítmica aparente. Problemas de escoamentos turbulentos com cisalhamento médio com diferentes características, usualmente utilizadas para avaliar modelos de turbulência, foram usados como testes. Como resultados relevantes desta pesquisa, considera-se o fato de se usar em forma sistemática informação experimental para o desenvolvimento de modelos de turbulência, a obtenção de um fechamento para a equação de dissipação sem funções de amortecimento e uma expressão para a viscosidade da turbulência na região viscosa. No caso da viscosidade da turbulência, a expressão proposta permite obter a distribuição da velocidade média na região amortecedora, apresentando boa concordância com dados experimentais.
This thesis presents the results of research work aiming at low Reynolds turbulence modeling. For an stablished boundary layer turbulent low Reynolds flow in the viscous layer near a wall was characterized based on experimental data and empirical polynomials. On this basis an analysis of the distribuition of the mean values in the near-wall region was performed allowing for the proposal of a low Reynolds turbulence model within a two-equation model methodolgy. The low Reynolds proposal involves a closure to the dissipation equation and the proposal of an effective turbulence viscosity expression. The dissipation equation closure like as the effective viscosity proposal were made based on previous results of scale time rate analysis through the viscous region. On the other hand, the effective turbulence viscosity expression allows for the representation of the Reynolds stress as a function of mean flow kinetic energy. The low Reynolds turbulence modeling proposal can be seen as a complementation of two eqaution models for low Reynolds turbulence. The model was tested in several case tests of turbulent flow with different kind of mean shear, frequently used for turbulence model assessment. As main results of this work can be mentioned the systematic use of experimental data to build, analyze and test turbulence models; the closure of the dissipation equation without damping functions and the turbulence effective viscosity expression for the viscous region. This last proposed relation allows for the attainment of a mean velocity distribuition profile in the buffer region, which adequately fits experimental data.
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Ajmani, Kumud. "Turbulence modeling in hypersonic inlets." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/101365.

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A study is conducted to analyze the performance of different turbulence models when applied to flow through a Mach 7.4 hypersonic inlet. The analysis, which is two-dimensional, is done by comparing computational results from a Parabolized Navier Stokes code, with experimental data. The McDonald Camarata (MC) and Baldwin Lomax (BL) models were the two zero-equation models used in the study. The Turbulent Kinetic Energy (TKE) model was chosen as a representative higher order model. The MC model, when run with transition of flow, provides a solution which compares excellently with the data. Transition has a first order effect on the overall solution provided by the code. The BL model predicts separation of flow in the inlet, which contradicts experimental findings. The TKE model does not perform any better than the MC and BL models, despite the fact that it is a higher order turbulence model. The BL and TKE models predict transition in the inlet at a location which is much earlier than observed in the experiment. This may be attributed to the empirical constants used to determine the point of transition.
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Bakosi, József. "PDF modeling of turbulent flows on unstructured grids." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3083.

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Thesis (Ph.D.)--George Mason University, 2008.
Vita: p. 178. Thesis director: Zafer Boybeyi. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computational Sciences and Informatics. Title from PDF t.p. (viewed June 30, 2008). Includes bibliographical references (p. 168-177). Also issued in print.
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Cotela, Dalmau Jordi. "Applications of turbulence modeling in civil engineering." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/383754.

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This thesis explores the use of stabilized finite element formulations for the incompressible Navier-Stokes equations to simulate turbulent flow problems. Turbulence is a challenging problem due to its complex and dynamic nature and its simulation if further complicated by the fact that it involves fluid motions at vastly different length and time scales, requiring fine meshes and long simulation times. A solution to this issue is turbulence modeling, in which only the large scale part of the solution is retained and the effect of smaller turbulent motions is represented by a model, which is generally dissipative in nature. In the context of finite element simulations for fluids, a second problem is the apparition of numerical instabilities. These can be avoided by the use of stabilized formulations, in which the problem is modified to ensure that it has a stable solution. Since stabilization methods typically introduce numerical dissipation, the relation between numerical and physical dissipation plays a crucial role in the accuracy of turbulent flow simulations. We investigate this issue by studying the behavior of stabilized finite element formulations based on the Variational Multiscale framework and on Finite Calculus, analyzing the results they provide for well-known reference problems, with the final goal of obtaining a method that both ensures numerical stability and introduces physically correct turbulent dissipation. Given that, even with the use of turbulence models, turbulent flow problems require significant computational resources, we also focused on programming and implementation aspects of finite element codes, specially in ensuring that our solver can perform efficiently on distributed memory architectures and high-performance computing clusters. Finally, we have developed an adaptive mesh refinement technique to improve and optimize unstructured tetrahedral meshes, again with the goal of enabling the simulation of large turbulent flow problems. This technique combines an error estimator based on Variational Multiscale principles with a simple refinement procedure designed to work in a distributed memory context and we have applied it to the simulation of both turbulent and non-Newtonian flow problems.
Aquesta tesi estudia la possibilitat d'utilitzar formulacions estabilitzades d'elements finits de les equacions de Navier-Stokes incompressibles per a la simulació de problemes de flux turbulent. La descripció de la turbulència és un repte, ja que es tracta d'un problema altament dinàmic i complex i la seva simulació numèrica es veu complicada pel fet que hi intervenen moviments de masses fluides amb dimensions i temps característics molt diferents i per tant requereix malles de càlcul molt fines i temps de simulació llargs. Això s'ha provat de resoldre mitjançant l'ús de models de turbulència, mantenint únicament la part de la solució de més gran escala i introduint un model de l'efecte dels moviments de petita escala, que acostuma a tenir un efecte dissipatiu. En el context de la simulació de fluids amb elements finits es planteja un segon problema amb l'aparició d'inestabilitats numèriques. Aquestes es poden evitar amb l'ús de formulacions estabilitzades, en les quals el problema es modifica per assegurar que tingui una solució estable. Ja que els mètodes d'estabilització típicament introdueixen dissipació addicional, la relació entre la dissipació numèrica i la dissipació física té un paper fonamental en la qualitat de la solució. Per investigar aquest fenomen hem estudiat el comportament de diferents formulacions d'elements finits basades en mètodes variacionals de subescala (VMS) i en el càlcul finit (FIC) en termes del seu comportament en la simulació de problemes turbulents de referència, amb l'objectiu final de trobar un mètode que a la vegada garanteixi l'estabilitat de la solució i introdueixi la dissipació turbulenta físicament necessària. Tenint en compte que, fins i tot quan s'utilitzen models de turbulència, la simulació de problemes de flux turbulent requereix molts recursos de càlcul, també hem estudiat aspectes de la implementació paral·lela de programes d'elements finits per tal de garantir que el nostre codi pot treure partit d'arquitectures de memòria distribuïda i servidors de càlcul d'alt rendiment. Finalment, hem desenvolupat una tècnica de refinament adaptatiu de malla que permeti millorar la qualitat de malles de càlcul tetraèdriques, novament amb la intenció de facilitar la simulació de grans problemes de flux turbulent. Aquesta tècnica combina un estimador d'error basat en els principis de la formulació variacional de subescala amb un procediment de refinament dissenyat per funcionar fàcilment en un context de memòria distribuïda i s'ha utilitzat per simular problemes de flux turbulent i no-Newtonià.
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Jeong, Eun-Hwan. "Selected problems in turbulence theory and modeling." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/523.

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Three different topics of turbulence research that cover modeling, theory and model computation categories are selected and studied in depth. In the first topic, "velocity gradient dynamics in turbulence" (modeling), the Lagrangian linear diffusion model that accounts for the viscous-effect is proposed to make the existing restricted-Euler velocity gradient dynamics model quantitatively useful. Results show good agreement with DNS data. In the second topic, "pressure-strain correlation in homogeneous anisotropic turbulence subject to rapid strain-dominated distortion" (theory), extensive rapid distortion calculation is performed for various anisotropic initial turbulence conditions in strain-dominated mean flows. The behavior of the rapid pressure-strain correlation is investigated and constraining criteria for the rapid pressure-strain correlation models are developed. In the last topic, "unsteady computation of turbulent flow past a square cylinder using partially-averaged Navier-Stokes method" (model computation), the basic philosophy of the PANS method is reviewed and a practical problem of flow past a square cylinder is computed for various levels of physical resolution. It is revealed that the PANS method can capture many important unsteady flow features at an affordable computational effort.
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Fan, Chen. "ENHANCING FLUID MODELING WITH TURBULENCE AND ACCELERATION." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1426072265.

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Hickel, Stefan. "Implicit turbulence modeling for large-eddy simulation." kostenfrei, 2008. http://mediatum2.ub.tum.de/doc/654921/654921.pdf.

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Uddin, Naseem. "Turbulence modeling of complex flows in CFD." München Verl. Dr. Hut, 2008. http://d-nb.info/990811263/04.

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Books on the topic "Turbulence modeling"

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Center, Ames Research, ed. Turbulence modeling. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1995.

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Wilcox, David C. Turbulence modeling for CFD. La Cãnada, CA: DCW Industries, Inc., 1993.

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Wilcox, David C. Turbulence modeling for CFD. 2nd ed. La Cãnada, Calif: DCW Industries, 1998.

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Chen, Ching Jen. Fundamentals of turbulence modeling. Washington, DC: Taylor & Francis, 1998.

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Wilcox, David C. Turbulence modeling for CFD. La Cañada, CA: DCW Industries, 1994.

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G, Biswas, and Eswaran V, eds. Turbulent flows: Fundamentals, experiments and modeling. Pangbourne: Alpha Science, 2002.

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Marvin, Joseph G. Turbulence modeling for hypersonic flows. [Moffett Field, Calif.]: NASA Ames Research Center, 1989.

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Boratav, Oluş, Alp Eden, and Ayse Erzan, eds. Turbulence Modeling and Vortex Dynamics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0105025.

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N, Mansour N., and United States. National Aeronautics and Space Administration., eds. Modeling of near-wall turbulence. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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United States. National Aeronautics and Space Administration., ed. Workshop on Computational Turbulence Modeling. [Washington, DC]: NASA, 1993.

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Book chapters on the topic "Turbulence modeling"

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Aldama, Alvaro A. "Turbulence Modeling." In Filtering Techniques for Turbulent Flow Simulation, 7–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84091-3_2.

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Moukalled, F., L. Mangani, and M. Darwish. "Turbulence Modeling." In The Finite Volume Method in Computational Fluid Dynamics, 693–744. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16874-6_17.

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Yoshizawa, Akira. "Conventional Turbulence Modeling." In Hydrodynamic and Magnetohydrodynamic Turbulent Flows, 83–144. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1810-3_4.

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Yoshizawa, Akira. "Compressible Turbulence Modeling." In Hydrodynamic and Magnetohydrodynamic Turbulent Flows, 265–303. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1810-3_8.

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Yoshizawa, Akira. "Magnetohydrodynamic Turbulence Modeling." In Hydrodynamic and Magnetohydrodynamic Turbulent Flows, 305–69. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1810-3_9.

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Rodriguez, Sal. "RANS Turbulence Modeling." In Applied Computational Fluid Dynamics and Turbulence Modeling, 121–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28691-0_4.

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Morel, Christophe. "Turbulence Models." In Mathematical Modeling of Disperse Two-Phase Flows, 251–77. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20104-7_11.

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Chassaing, P., R. A. Antonia, F. Anselmet, L. Joly, and S. Sarkar. "First-Order Modeling." In Variable Density Fluid Turbulence, 261–310. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0075-7_10.

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Chassaing, P., R. A. Antonia, F. Anselmet, L. Joly, and S. Sarkar. "Second-Order Modeling." In Variable Density Fluid Turbulence, 311–44. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0075-7_11.

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Speziale, Charles G. "Turbulence modeling: Present and future Comment 2." In Whither Turbulence? Turbulence at the Crossroads, 490–512. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52535-1_64.

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Conference papers on the topic "Turbulence modeling"

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Coder, James, Philip Cross, and Marilyn Smith. "Turbulence Modeling Strategies for Rotor Hub Flows." In Vertical Flight Society 73rd Annual Forum & Technology Display, 1–12. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-11994.

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The influence of turbulence modeling strategy for computational fluid dynamics simulations of rotor hub flows is assessed. Two specific modeling strategies are discussed and applied to a representative rotor hub geometry that was the focus of the First Rotor Hub Flow Prediction Workshop and for which high-Reynolds number force data and wake measurements are available from a water-tunnel experiment. Simulations with both turbulence models were performed on the same structured, overset grid system using the same flow solver. Identical solution strategies were employed, including time accuracy, spatial discretization, and implicit algorithm. Several aspects of the solutions are compared, including mass-flow rate through the domain, unsteady drag characteristics, and unsteady wake characteristics.
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Ji, Honglei, and Renliang Chen. "Helicopter Turbulence Modeling with Accurate Spatial Correlations for Handling- Quality Analysis." In Vertical Flight Society 73rd Annual Forum & Technology Display, 1–16. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12116.

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This paper presents a turbulence model with accurate spatial correlations for helicopter flight simulation and handling-quality analysis. First, digital filters with longitudinal correlations of the von Karman turbulence are developed to generate discrete turbulence velocity components. Turbulence transverse correlations are considered by relating the filters in different positions with spatial correlations of the von Karman theory. Then, the distributions of both the related filters in front of helicopter and their velocity components in the longitudinal direction of airspeed, as well as turbulence models for helicopter aerodynamic surfaces are established. On this basis, a flight dynamics model coupled with the turbulence model is developed and validated against the flight test data. The contribution of each aerodynamic surface to the helicopter handling qualities is analyzed. Finally, the helicopter handling qualities in turbulent atmospheric environment are discussed. The results show that turbulence transverse correlations have important impact on the handling qualities of both the roll and heave motions, while there is a little impact on the handling quality of pitch motion and nearly no impact on that of yaw motion.
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Bardina, J., P. Huang, T. Coakley, J. Bardina, P. Huang, and T. Coakley. "Turbulence modeling validation." In 28th Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-2121.

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Wilcox, David. "Turbulence modeling - An overview." In 39th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-724.

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Xiao, Xudong, D. McRae, Hassan Hassan, Frank Ruggiero, and George Jumper. "Modeling Atmospheric Optical Turbulence." In 44th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-77.

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Mazher, A. K., and Changki Mo. "Dynamic Modeling of Turbulence." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62330.

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This paper presents a new systematic and generalized approach to model turbulence dynamically. The suggested approach is based on the variational technique to solve a system of equations where the number of unknowns is larger than the number of equations. Turbulence closure problem results when averaging the Navier-Stokes (N-S) equations. Averaging transforms the N-S equations from a determinate set of equations describing turbulent flow field to an indeterminate set of equations that need additional information. Unknown terms, Reynolds stresses, appear as a results of averaging; and the solution of the averaged N-S equations depends on the proper selection of Reynolds stresses. In the dynamic modeling formulation of turbulence, the Reynolds stresses are selected to produce a best solution of the averaged N-S equations. The Reynolds stresses are computed via optimizing a performance index ‘I’. In the optimization process the averaged N-S equations are considered as constraints. The performance index ‘I’ is defined as a measure of the quality of solution. Averaging can be considered as a process by which we lose some information about the flow field. The lost information appears partially in the unknown terms “Reynolds stresses”. Hence, the performance index should include some measure of information losses which occur as the result of averaging. Classical approach does not rely on the N-S equations, itself as a complete description of turbulence, to derive a suitable turbulence models. The new concept will use the N-S equations, combined with the physics of turbulence, for an optimal selection of turbulence model through ‘I’. In this approach the model is not specified in advance, but it will be developed dynamically with the solution.
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Fedorova, A. "Wave motions and turbulence in wavelet framework." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386876.

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Poggie, Jonathan. "Compressible Turbulent Boundary Layer Simulations: Resolution Effects and Turbulence Modeling." In 53rd AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-1983.

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Morelli, Eugene, and Kevin Cunningham. "Aircraft Dynamic Modeling in Turbulence." In AIAA Atmospheric Flight Mechanics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-4650.

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RUBESIN, MORRIS. "Turbulence modeling for aerodynamic flows." In 27th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-606.

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Reports on the topic "Turbulence modeling"

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Laganelli, A. L., and S. M. Dash. Turbulence Modeling. Fort Belvoir, VA: Defense Technical Information Center, October 1991. http://dx.doi.org/10.21236/ada415956.

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Ling, Julia, and Jeremy Templeton. Machine Learning for Turbulence Modeling. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1761814.

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Perot, Blair. Turbulence Modeling Using Body Force Potentials. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada415903.

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Walker, Dave. Turbulence Modeling for Free-Surface Flows. Fort Belvoir, VA: Defense Technical Information Center, November 1997. http://dx.doi.org/10.21236/ada338778.

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Leith, C., and L. Margolin. Turbulence modeling in the SHALE code. Office of Scientific and Technical Information (OSTI), March 1990. http://dx.doi.org/10.2172/6916524.

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Novikov, Evgency. Structure and Modeling of Free-Surface Turbulence. Fort Belvoir, VA: Defense Technical Information Center, November 1999. http://dx.doi.org/10.21236/ada370533.

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Novikov, Evgeny. Structure of Turbulence and Subgrid-Scale Modeling. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada325561.

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Sarkar, Sutanu. Turbulence Modeling in Stratified Flows over Topography. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573212.

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Yue, Dick K., and Kelli Hendrickson. Multiphase Turbulence Modeling for Computational Ship Hydrodynamics. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada602323.

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Pope, S. B. Modeling Mixing and Reaction in Turbulence Combustion. Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada378397.

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