Relevant bibliographies by topics / Turbulence Simulation methods

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Turbulence Simulation methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Turbulence Simulation methods"

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Abdibekova, Aigerim, Dauren Zhakebayev, Akmaral Abdigaliyeva, and Kuanysh Zhubat. "Modelling of turbulence energy decay based on hybrid methods." Engineering Computations 35, no. 5 (2018): 1965–77. http://dx.doi.org/10.1108/ec-11-2016-0395.

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Purpose The purpose of this study is to present an exact and fast-calculated algorithm for the modelling of turbulent energy decay based on two different methods: finite-difference and spectral methods. Design/methodology/approach The filtered three-dimensional non-stationary Navier–Stokes equation is used for simulating the turbulent process. The problem is solved using hybrid methods, where the equation of motion is solved using finite difference methods in combination with cyclic penta-diagonal matrix, which allowed to reach high order of accuracy, and Poisson equation is solved using the s
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Hami, Khelifa. "Turbulence Modeling a Review for Different Used Methods." International Journal of Heat and Technology 39, no. 1 (2021): 227–34. http://dx.doi.org/10.18280/ijht.390125.

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This contribution represents a critical view of the advantages and limits of the set of mathematical models of the physical phenomena of turbulence. Turbulence models can be grouped into two categories, depending on how turbulent quantities are calculated: direct numerical simulations (DNS) and RANS (Reynolds Averaged Navier-Stokes Equations) models. The disadvantage of these models is that they require enormous computing power, inaccessible, especially for large and complicated geometries. For this reason, hybrid models (combinations between DNS and RANS methods) have been developed, for exam
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Persson, L., C. Fureby, and N. Svanstedt. "On Homogenization-Based Methods for Large-Eddy Simulation." Journal of Fluids Engineering 124, no. 4 (2002): 892–903. http://dx.doi.org/10.1115/1.1516577.

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The ability to predict complex engineering flows is limited by the available turbulence models and the present-day computer capacity. In Reynolds averaged numerical simulations (RANS), which is the most prevalent approach today, equations for the mean flow are solved in conjunction with a model for the statistical properties of the turbulence. Considering the limitations of RANS and the desire to study more complex flows, more sophisticated methods are called for. An approach that fulfills these requirements is large-eddy simulation (LES) which attempts to resolve the dynamics of the large-sca
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Remmler, Sebastian, Stefan Hickel, Mark D. Fruman, and Ulrich Achatz. "Validation of Large-Eddy Simulation Methods for Gravity Wave Breaking." Journal of the Atmospheric Sciences 72, no. 9 (2015): 3537–62. http://dx.doi.org/10.1175/jas-d-14-0321.1.

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Abstract To reduce the computational costs of numerical studies of gravity wave breaking in the atmosphere, the grid resolution has to be reduced as much as possible. Insufficient resolution of small-scale turbulence demands a proper turbulence parameterization in the framework of a large-eddy simulation (LES). The authors validate three different LES methods—the adaptive local deconvolution method (ALDM), the dynamic Smagorinsky method (DSM), and a naïve central discretization without turbulence parameterization (CDS4)—for three different cases of the breaking of well-defined monochromatic gr
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Ge, Xuan, Giuliano De Stefano, M. Yousuff Hussaini, and Oleg V. Vasilyev. "Wavelet-Based Adaptive Eddy-Resolving Methods for Modeling and Simulation of Complex Wall-Bounded Compressible Turbulent Flows." Fluids 6, no. 9 (2021): 331. http://dx.doi.org/10.3390/fluids6090331.

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This article represents the second part of a review by De Stefano and Vasilyev (2021) on wavelet-based adaptive methods for modeling and simulation of turbulent flows. Unlike the hierarchical adaptive eddy-capturing approach, described in the first part and devoted to high-fidelity modeling of incompressible flows, this companion paper focuses on the adaptive eddy-resolving framework for compressible flows in complex geometries, which also includes model-form adaptation from low to high fidelity models. A hierarchy of wavelet-based eddy-resolving methods of different fidelity has been develope
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Heinz, Stefan. "From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows." Fluids 7, no. 12 (2022): 368. http://dx.doi.org/10.3390/fluids7120368.

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Hybrid RANS-LES methods are supposed to provide major contributions to future turbulent flow simulations, in particular for reliable flow predictions under conditions where validation data are unavailable. However, existing hybrid RANS-LES methods suffer from essential problems. A solution to these problems is presented as a generalization of previously introduced continuous eddy simulation (CES) methods. These methods, obtained by relatively minor extensions of standard two-equation turbulence models, represent minimal error simulation methods. An essential observation presented here is that
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Hu, Le, Shu Jia Zhang, and Cheng Xu. "The Use of Steady Multi-Phase Position and Unsteady Computational Methods in the Numerical Simulation of Double-Suction Centrifugal Pump." Advanced Materials Research 181-182 (January 2011): 201–5. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.201.

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In order to compare the steady multi-phase and unsteady calculation in double-suction centrifugal pump application, this article simulates the internal turbulent flow of the 150S-50 double suction centrifugal pump. Numerical simulation uses realizable turbulence model, simulating with two methods of steady multi-phase and unsteady in 7 cases. Based on the numerical simulation, the head, shaft power, efficiency were calculated, the simulated performance curves of a double suction centrifugal pump is processed. The results show that: The results of unsteady simulation are closer with the experim
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Wang, Ziwei, Jie Cao, Keyan Chen, Baiyu Li, and Bin Li. "Research on Rotation/Curvature Correction Method of SA Turbulence Model for Numerical Simulation of Axial Compressor." Journal of Physics: Conference Series 2599, no. 1 (2023): 012012. http://dx.doi.org/10.1088/1742-6596/2599/1/012012.

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Abstract The strong rotation effect exists in the flow of compressors, but it is rarely considered in the common turbulence models used in numerical simulation. In addition, when the widely used turbulence model is applied to the numerical simulation of compressor flow, it often needs to be modified. In order to evaluate the applicability of various turbulence model modification methods in axial compressor flow simulation, and explore suitable modification methods. Based on the numerical simulation software ASPAC for axial flow compressor developed by our research group, three turbulence model
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Temam, Roger. "Multilevel Methods for the Simulation of Turbulence." Journal of Computational Physics 127, no. 2 (1996): 309–15. http://dx.doi.org/10.1006/jcph.1996.0177.

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Doubrawa, P., A. Rybchuk, J. Friedrich, et al. "Validation of new and existing methods for time-domain simulations of turbulence and loads." Journal of Physics: Conference Series 2767, no. 5 (2024): 052057. http://dx.doi.org/10.1088/1742-6596/2767/5/052057.

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Abstract We seek to obtain a second-by-second match between the simulated and measured structural loads of a utility-scale wind turbine. To obtain the one-to-one load simulations, we start with the furthest upstream component of the modeling chain: the turbulent inflow. We consider new and existing methods to generate constrained-turbulence flow fields. The new method is based on large-eddy simulations (LES) and machine learning (ML). The existing methods include Kaimal-based TurbSim and the superstatistical wind field model. The inflow measurements used to constrain these simulations are obta
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Dissertations / Theses on the topic "Turbulence Simulation methods"

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Debliquy, Olivier. "Pseudo-spectral methods applied to hydrodynamic and magnetohydrodynamic turbulence." Doctoral thesis, Universite Libre de Bruxelles, 2004. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211110.

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In our everyday life, turbulence is an omnipresent phenomenon and yet remains poorly understood. Its random and chaotic nature makes it a subject almost impossible to treat from the mathematical point of view and, at present, there<p>is no real prospect of a simple analytic theory. Scientists have therefore regarded the numerical simulation as an alternative to compute the relevant properties of turbulent flows. In this context, our thesis aims at developing and using accurate computational methods, namely pseudo-spectral methods, for studying hydrodynamic (1st part) and magnetohydrodynamic (2
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Brathwaite, Aisha. "A novel laboratory apparatus for simulating isotropic oceanic turbulence at low reynolds number." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/21665.

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Zhu, Min. "Modelling and simulation of spray combustion with PDF methods." Thesis, University of Cambridge, 1996. https://www.repository.cam.ac.uk/handle/1810/272496.

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Kakollu, Satyanarayana. "Numerical simulation of strong turbulence over water waves." Master's thesis, Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-12112002-125436.

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Young, Alistair John. "Investigation of renormalization group methods for the numerical simulation of isotropic turbulence." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/11660.

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Numerical simulations are becoming increasingly important and useful tools in the study of turbulent flows. Direct numerical simulation (DNS) is a method of computation in which all the important scales of motion are fully-resolved. However, flows with the sort of complexity and turbulent intensity that one might find in the laboratory, or in nature, lie well beyond our current computational reach. The problem lies with the large number of degrees of freedom. In large eddy simulations (LES) this number is reduced by simulating only the large scales of motion, while the effects of the small sca
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Zecevic, Vanja. "Lattice Boltzmann methods for direct numerical simulation of turbulent fluid flows." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/15434.

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We study the use of lattice Boltzmann (LB) methods for simulation of turbulent fluid flows motivated by their high computational throughput and amenability to highly parallel platforms such as graphics processing units (GPUs). Several algorithmic improvements are unearthed including work on non-unit Courant numbers, the force operator, use of alternative topologies based on face and body centered cubic lattices and a new formulation using a generalized eigendecomposition that allows a new freedom in tuning the eigenvectors of the linearised collision operator. Applications include a variable b
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Groom, Michael Robert. "Direct Numerical Simulation of Shock-Induced Turbulent Mixing with High-Resolution Methods." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23721.

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Turbulent mixing evolving from the Richtmyer-Meshkov instability, also known as shock-induced turbulent mixing, is investigated using numerical simulations of fundamental test problems with high-resolution computational methods. An existing state-of-the-art implicit large eddy simulation algorithm for compressible multispecies flows is extended to include the effects of viscous dissipation, thermal conductivity and species diffusion by deriving a novel set of governing equations for binary mixtures. This allows for direct numerical simulations of shock-induced turbulent mixing to be performed
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Xu, Shuyi. "Turbulent Mixing of Passive Scalars at High Schmidt Number." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7002.

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A numerical study of fundamental aspects of turbulent mixing has been performed,with emphasis on the behavior of passive scalars of low molecular diffusivity (high Schmidt number Sc). Direct Numerical Simulation is used to simulate incompressible, stationary and isotropic turbulence carried out at high grid resolution. Data analyses are carried out by separate parallel codes using up to 1024^3 grid points for Taylor-scale Reynolds number (R_lambda) up to 390 and Sc up to 1024.Schmidt number of order 1000 is simulated using a double-precision parallel code in a turbulent flow at a low Reynolds
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Blacodon, Yohan. "Development of meshless methods and application to numerical simulation of internal aerodynamic combustion engine." Paris 6, 2011. http://www.theses.fr/2011PA066654.

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La simulation numérique de l’aérodynamique interne des chambres de combustion de moteurs automobiles est caractérisée par des déplacements complexes d’éléments mobiles (piston, soupapes d’admission et d’échappement,. . . ) et par de fortes variations volumétriques, qui causent régulièrement des problèmes numériques avec les méthodes classiques utilisant des maillages du domaine de calcul. Avec ces méthodes (EF, VF), qui utilisent des éléments polyhèdriques (hexahèdres, tétrahèdres, prismes,. . . ), il est nécessaire de changer périodiquement le maillage, afin de s’adapter à la nouvelle géométr
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Komminaho, Jukka. "Direct numerical simulation of turbulent flow in plane and cylindrical geometries." Doctoral thesis, Stockholm, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3054.

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Books on the topic "Turbulence Simulation methods"

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Center, Ames Research, ed. Finite element aircraft simulation of turbulence. Ames Research Center, 1995.

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1959-, Jauberteau François, and Temam Roger, eds. Dynamic multilevel methods and the numerical simulation of turbulence. Cambridge University Press, 1999.

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Davidson, Moreira, and Vilhena Marco, eds. Air pollution and turbulence: Modeling and applications. Taylor & Francis, 2010.

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T, Dubois, Temam Roger, and Langley Research Center, eds. The nonlinear Galerkin method: A multi-scale method applied to the simulation of homogeneous turbulent flows. National Aeronautics and Space Administration, Langley Research Center, 1993.

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Davidson, Moreira, and Vilhena Marco, eds. Air pollution and turbulence: Modeling and applications. Taylor & Francis, 2010.

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A, Ostrovskiĭ L., and Environmental Technology Laboratory (Oceanic and Atmospheric Research Laboratories), eds. Laboratory modeling of interactions between waves and flows in the upper ocean. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Environmental Technology Laboratory, 2000.

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ERCOFTAC, Workshop (1990 Lausanne Switzerland). Numerical simulation of unsteady flows and transition to turbulence: Proceedings of the ERCOFTAC Workshop held at EPFL, 26-28 March 1990, Lausanne, Switzerland. Cambridge University Press, 1992.

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COSPAR, ed. Multiscale magnetospheric processes: Theory, simulations, and multipoint observations. published for the Committee on Space Research [by] Elsevier, 2008.

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Johan, Meyers, Geurts Bernard, and Sagaut Pierre 1967-, eds. Quality and reliability of large-eddy simulations. Springer, 2008.

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A, Ostrovskiĭ L., and Environmental Technology Laboratory (Environmental Research Laboratories), eds. Laboratory modeling and theoretical studies of wave processes in the ocean. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Environmental Technology Laboratory, 1997.

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Book chapters on the topic "Turbulence Simulation methods"

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McComb, W. D. "Renormalisation Group Methods Applied to the Numerical Simulation of Fluid Turbulence." In Theoretical Approaches to Turbulence. Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4612-1092-4_8.

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Zhang, Xin, and Siyang Zhong. "Broadband Aerodynamic Noise Simulation Using Synthetic Turbulence Methods." In Flinovia—Flow Induced Noise and Vibration Issues and Aspects-III. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64807-7_18.

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Kuwahara, Kunio, and Susumu Shirayama. "Direct Simulation of High-Reynolds-Number Flows by Finite-Difference Methods." In Direct and Large Eddy Simulation of Turbulence. Vieweg+Teubner Verlag, 1986. http://dx.doi.org/10.1007/978-3-663-00197-3_15.

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McComb, W. D. "Application of Renormalisation Group (RG) Methods to the Subgrid Modelling Problem." In Direct and Large Eddy Simulation of Turbulence. Vieweg+Teubner Verlag, 1986. http://dx.doi.org/10.1007/978-3-663-00197-3_4.

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Beck, Andrea D., Gregor J. Gassner, Thomas Bolemann, Hannes Frank, Florian Hindenlang, and Claus-Dieter Munz. "Underresolved Turbulence Simulations with Stabilized High Order Discontinuous Galerkin Methods." In Direct and Large-Eddy Simulation IX. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14448-1_14.

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Gavrilakis, S., H. M. Tsai, P. R. Voke, and D. C. Leslie. "Large-Eddy Simulation of Low Reynolds Number Channel Flow by Spectral and Finite Difference Methods." In Direct and Large Eddy Simulation of Turbulence. Vieweg+Teubner Verlag, 1986. http://dx.doi.org/10.1007/978-3-663-00197-3_6.

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Bungartz, H., and W. Huber. "First Experiments with Turbulence Simulation on Workstation Networks Using Sparse Grid Methods." In Computational Fluid Dynamics on Parallel Systems. Vieweg+Teubner Verlag, 1995. http://dx.doi.org/10.1007/978-3-322-89454-0_4.

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Trias, F. X., X. Álvarez-Farré, D. Santos, A. Gorobets, and A. Oliva. "DNS and LES of Buoyancy-Driven Turbulence at High Rayleigh Numbers: Numerical Methods and Subgrid-Scale Models." In Direct and Large Eddy Simulation XIII. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47028-8_50.

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Aubard, Guillaume, Xavier Gloerfelt, and J. C. Robinet. "Characterisation of Synthetic Turbulence Methods for Large-Eddy Simulation of Supersonic Boundary Layers." In Springer Proceedings in Physics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28968-2_17.

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Kaller, Thomas, Alexander Doehring, Stefan Hickel, Steffen J. Schmidt, and Nikolaus A. Adams. "Assessment of RANS Turbulence Models for Straight Cooling Ducts: Secondary Flow and Strong Property Variation Effects." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53847-7_20.

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Abstract We present well-resolved RANS simulations of two generic asymmetrically heated cooling channel configurations, a high aspect ratio cooling duct operated with liquid water at $$Re_b = 110 \times 10^3$$ and a cryogenic transcritical channel operated with methane at $$Re_b = 16 \times 10^3$$. The former setup serves to investigate the interaction of turbulence-induced secondary flow and heat transfer, and the latter to investigate the influence of strong non-linear thermodynamic property variations in the vicinity of the critical point on the flow field and heat transfer. To assess the accuracy of the RANS simulations for both setups, well-resolved implicit LES simulations using the adaptive local deconvolution method as subgrid-scale turbulence model serve as comparison databases. The investigation focuses on the prediction capabilities of RANS turbulence models for the flow as well as the temperature field and turbulent heat transfer with a special focus on the turbulent heat flux closure influence.
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Conference papers on the topic "Turbulence Simulation methods"

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Fu, Song, Zhixiang Xiao, Haixin Chen, Yufei Zhang, and Jingbo Huang. "Simulation of Wing-Body Junction Flows with Hybrid RANS/LES Methods." In Turbulence, Heat and Mass Transfer 5. Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer. Begellhouse, 2006. http://dx.doi.org/10.1615/ichmt.2006.turbulheatmasstransf.830.

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Huang, Xin, and Michael Schäfer. "ON THE SIMULATION OF AERODYNAMIC NOISE WITH DIFFERENT TURBULENCE MODELS." In VII European Congress on Computational Methods in Applied Sciences and Engineering. Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2016. http://dx.doi.org/10.7712/100016.2356.7445.

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Yokota, Rio, and Shinnosuke Obi. "PURE LAGRANGIAN VORTEX METHODS FOR THE SIMULATION OF DECAYING ISOTROPIC TURBULENCE." In Fifth International Symposium on Turbulence and Shear Flow Phenomena. Begellhouse, 2007. http://dx.doi.org/10.1615/tsfp5.560.

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Ogami, Yoshifumi, Kazuie Nishiwaki, and Yoshinobu Yoshihara. "Simulation of Artificial Turbulence by the Vortex Method." In ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1536.

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First, a simple and accurate numerical method is presented to produce velocity fluctuations that are determined by the prescribed physical quantities and qualities of turbulence such as longitudinal and lateral spectra, and integral scales. The fluctuations are obtained by solving a system of nonlinear equations that are derived from the equations of energy spectra and of root mean square of the fluctuations. This method requires as many computer memories and computations as one-dimensional case even for the three dimensional calculations. It is shown that there is a strong resemblance of the
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Gopalakrishnan Nair, Nithin, Kangfu Mei, and Vishal M. Patel. "A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration." In 2022 IEEE International Conference on Image Processing (ICIP). IEEE, 2022. http://dx.doi.org/10.1109/icip46576.2022.9897969.

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Jia, Rongguang, Johan Revstedt, Rong Ding, Masoud Rokni, Bengt Sunden, and Laszlo Fuchs. "SIMULATION OF AN IMPINGING JET ISSUED INTO A CROSS FLOW WITH RANS AND LES METHODS." In Third Symposium on Turbulence and Shear Flow Phenomena. Begellhouse, 2003. http://dx.doi.org/10.1615/tsfp3.2070.

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Watnik, Abbie Tippie, Dennis F. Gardner, and Mark F. Spencer. "Comparing woofer-tweeter control methods through deep turbulence: A simulation (Conference Presentation)." In Laser Communication and Propagation through the Atmosphere and Oceans VII, edited by Alexander M. van Eijk, Stephen Hammel, and Jeremy P. Bos. SPIE, 2018. http://dx.doi.org/10.1117/12.2322381.

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Niu, Yang-Yao. "Numerical simulation of dynamic stall using upwind methods and RNG turbulence models." In 36th AIAA Aerospace Sciences Meeting and Exhibit. American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-419.

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Wang, Li, W. Kyle Anderson, and Lafayette K. Taylor. "Multiscale Large Eddy Simulation of Turbulence Using High-Order Finite Element Methods." In 7th AIAA Theoretical Fluid Mechanics Conference. American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-3211.

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Kursakov, I. A., E. S. Matyash, A. A. Savelyev, and A. I. Troshin. "APPLICATION OF THE NONLINEAR TURBULENCE MODEL SST-NL TO SIMULATION OF FLOWS WITH REYNOLDS STRESS ANISOTROPY." In INTERNATIONAL CONFERENCE ON THE METHODS OF AEROPHYSICAL RESEARCH. Издательство Сибирского отделения РАН, 2022. http://dx.doi.org/10.53954/9785604788974_97.

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Reports on the topic "Turbulence Simulation methods"

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Trenchea, Catalin, and William Layton. Computational Methods for Predictive Simulation of Stochastic Turbulence Systems. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada627253.

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Collis, Samuel, and Srinivas Ramakrishnan. The Local Variational Multiscale Method for Turbulence Simulation. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/1143379.

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Ghoniem, Ahmed F. Numerical Simulation of Turbulent Combustion Using Vortex Methods. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada219624.

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Wilson, D., Chris Pettit, Vladimir Ostashev, and Matthew Kamrath. Signal power distributions for simulated outdoor sound propagation in varying refractive conditions. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48774.

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Probability distributions of acoustic signals propagating through the near-ground atmosphere are simulated by the parabolic equation method. The simulations involve propagation at four angles relative to the mean wind, with frequencies of 100, 200, 400, and 800 Hz. The environmental representation includes realistic atmospheric refractive profiles, turbulence, and ground interactions; cases are considered with and without parametric uncertainties in the wind velocity and surface heat flux. The simulated signals are found to span a broad range of scintillation indices, from near zero to exceedi
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Xu, Jin, Dongbin Xiu, and George E. Karniadakis. A Semi-Lagrangian Method for Turbulence Simulations Using Mixed Spectral Discretizations. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada460652.

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McCallen, Rose Clara. Large-eddy simulation of turbulent flow using the finite element method. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/45608.

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Tran, Hoang, Clayton Webster, and Guannan Zhang. A Sparse Grid Method for Bayesian Uncertainty Quantification with Application to Large Eddy Simulation Turbulence Models. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1649668.

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Daniel, Don, and Daniel Livescu. A novel reaction-analogy (RA) based scalar forcing method for direct numerical simulations of turbulence. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1432632.

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Castillo, Victor Manuel. Cubic Spline Collocation Method for the Simulation of Turbulent Thermal Convection in Compressible Fluids. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15014452.

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10

Bidier, S., U. Khristenko, A. Kodakkal, C. Soriano, and R. Rossi. D7.4 Final report on Stochastic Optimization results. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.02.

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Abstract:
This deliverable report focuses on the final stochastic optimization results obtained within the EXAscale Quantification of Uncertainties for Technology and Science Simulation (ExaQUte) project. Details on a novel wind inlet generator that is able to incorporate local wind-field data through a deep-learned rapid distortion model and generates the turbulent wind data during run-time is presented in section 2. Section 3 presents the results of the overall stochastic optimization procedure applied to a twisted tapered tower with multiple design parameters within an uncertain synthetic wind field.
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