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Journal articles on the topic 'EARSM'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Kim, Yoo-Chul, Kwang-Soo Kim, and Jin Kim. "Numerical Prediction of Ship Hydrodynamic Performances using Explicit Algebraic Reynolds Stress Turbulence Model." Journal of the Society of Naval Architects of Korea 51, no. 1 (February 20, 2014): 67–77. http://dx.doi.org/10.3744/snak.2014.51.1.67.

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2

Gomez, Carlos A., and Sharath S. Girimaji. "Explicit algebraic Reynolds stress model (EARSM) for compressible shear flows." Theoretical and Computational Fluid Dynamics 28, no. 2 (July 24, 2013): 171–96. http://dx.doi.org/10.1007/s00162-013-0307-0.

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3

Bosnyakov, Igor Sergeevich, Vladimir Viktorovich Vlasenko, Andrey Viktorovich Wolkov, Sergey Vladimirovich Lyapunov, and Aleksey Igorevich Troshin. "DISCONTINUOUS GALERKIN METHOD FOR THE REYNOLDS EQUATION SYSTEM WITH THE EARSM." TsAGI Science Journal 46, no. 1 (2015): 1–16. http://dx.doi.org/10.1615/tsagiscij.2015013729.

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4

WALLIN, STEFAN, and ARNE V. JOHANSSON. "An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows." Journal of Fluid Mechanics 403 (January 25, 2000): 89–132. http://dx.doi.org/10.1017/s0022112099007004.

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Some new developments of explicit algebraic Reynolds stress turbulence models (EARSM) are presented. The new developments include a new near-wall treatment ensuring realizability for the individual stress components, a formulation for compressible flows, and a suggestion for a possible approximation of diffusion terms in the anisotropy transport equation. Recent developments in this area are assessed and collected into a model for both incompressible and compressible three-dimensional wall-bounded turbulent flows. This model represents a solution of the implicit ARSM equations, where the production to dissipation ratio is obtained as a solution to a nonlinear algebraic relation. Three-dimensionality is fully accounted for in the mean flow description of the stress anisotropy. The resulting EARSM has been found to be well suited to integration to the wall and all individual Reynolds stresses can be well predicted by introducing wall damping functions derived from the van Driest damping function. The platform for the model consists of the transport equations for the kinetic energy and an auxiliary quantity. The proposed model can be used with any such platform, and examples are shown for two different choices of the auxiliary quantity.

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5

Holman, Jiří, and Jiří Fürst. "Coupling the algebraic model of bypass transition with EARSM model of turbulence." Advances in Computational Mathematics 45, no. 4 (April 26, 2019): 1977–92. http://dx.doi.org/10.1007/s10444-019-09680-2.

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6

Holman, Jiří. "Unsteady Flow past a Circular Cylinder Using Advanced Turbulence Models." Applied Mechanics and Materials 821 (January 2016): 23–30. http://dx.doi.org/10.4028/www.scientific.net/amm.821.23.

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This work deals with the numerical simulation of unsteady compressible turbulent flow past a circular cylinder. Turbulent flow is modeled by two different methods. The first method is based on the system of URANS equations closed by the two equation TNT model or modified EARSM model. Second method is based on the X-LES model, which is a hybrid RANS-LES method. Numerical solution is obtained by the finite volume method. Presented results are for the sub-critical turbulent flow characterized by Re=3900.

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7

Matesanz, A., and A. Velázquez. "EARSM finite element solver for the study of turbulent 3-D compressible separated flows." Computer Methods in Applied Mechanics and Engineering 190, no. 8-10 (November 2000): 989–1004. http://dx.doi.org/10.1016/s0045-7825(99)00458-2.

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8

Běták, V., P. Sváček, J. Novotný, J. Fürst, and J. Fořt. "On Application of EARSM Turbulence Model for Simulation of Flow Field behind Rack Station." EPJ Web of Conferences 45 (2013): 01013. http://dx.doi.org/10.1051/epjconf/20134501013.

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9

Louda, Petr, Petr Straka, and Jaromír Příhoda. "Simulation of transonic flows through a turbine blade cascade with various prescription of outlet boundary conditions." EPJ Web of Conferences 180 (2018): 02056. http://dx.doi.org/10.1051/epjconf/201818002056.

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The contribution deals with the numerical simulation of transonic flows through a linear turbine blade cascade. Numerical simulations were carried partly for the standard computational domain with various outlet boundary conditions by the algebraic transition model of Straka and Příhoda [1] connected with the EARSM turbulence model of Hellsten [2] and partly for the computational domain corresponding to the geometrical arrangement in the wind tunnel by the γ-ζ transition model of Dick et al. [3] with the SST turbulence model. Numerical results were compared with experimental data. The agreement of numerical results with experimental results is acceptable through a complicated experimental configuration.

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10

Fořt, J., J. Dobeš, J. Fürst, J. Halama, K. Kozel, P. Louda, and J. Příhoda. "Numerical Solution of Turbine Cascade Flow by Two Equations, EARSM and Bypass Transition Turbulence Models." PAMM 8, no. 1 (December 2008): 10589–90. http://dx.doi.org/10.1002/pamm.200810589.

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11

Gaur, Ritesh, S. Ganesan, and B. V. S. S. S. Prasad. "Comparative Performance of New Surface Roughness Element and Pin fin in Converging Channel for Gas Turbine Application." Defence Science Journal 71, no. 4 (July 1, 2021): 429–35. http://dx.doi.org/10.14429/dsj.71.15394.

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Thermal performance of a novel surface roughness element, named as Double 45 Dimple (D45D), is compared with pin-fin element in a converging channel with rectangular cross section and presented. The Surface Roughness Element (SRE) is derived by combining protrusion & dimple in a particular fashion such that area available for transfer of heat increases. The objective of this study is to demonstrate the applicability of D45D element channel for trailing edge channel of a typical nozzle guide vane where typically pin-fin element is used. New cooling configuration of Nozzle Guide Vane (NGV) with D45D element is also proposed. All thermal and flow related results are derived using validated CFD approach with EARSM turbulence model for a typical value of Reynolds number. From this investigation, it is found that D45D element provides remarkable improvement in the averaged as well as heat transfer in local region for the corresponding surface which makes it a candidate for trailing edge channel cooling application.

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12

Filonovich, M. S., R. Azevedo, L. R. Rojas-Solórzano, and J. B. Leal. "Credibility analysis of computational fluid dynamic simulations for compound channel flow." Journal of Hydroinformatics 15, no. 3 (February 18, 2013): 926–38. http://dx.doi.org/10.2166/hydro.2013.187.

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In this paper, verification and validation of a turbulence closure model is performed for an experimental compound channel flow, where the velocity and turbulent fields were measured by a Laser Doppler Velocimeter (LDV). Detailed Explicit Algebraic Reynolds Stress Model (EARSM) simulations are reported. There are numerous methods and techniques available to evaluate the numerical uncertainty associated with grid resolution. The authors have adopted the Grid Convergence Index (GCI) approach. The velocity components, the turbulence kinetic energy (TKE), the dissipation rate and the Reynolds stresses were used as variables of interest. The GCI results present low values for the u velocity component, but higher values in what concerns the v velocity component and w velocity component (representing secondary flows) and for Reynolds stresses RSxy and RSyz. This indicates that the mean flow has converged but the turbulent field and secondary flows still depend on grid resolution. Based on GCI values distribution, the medium and fine meshes were further refined. In addition to GCI analysis, the authors have performed linear regression analysis for estimating the mesh quality in what concerns small value variables. Comparison of numerical and experimental results shows good agreement.

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13

Dmitriev, Sergey, Andrey Kozelkov, Andrey Kurkin, Nataliya Tarasova, Valentin Efremov, Vadim Kurulin, Roman Shamin, and Maksim Legchanov. "Simulation of Turbulent Convection at High Rayleigh Numbers." Modelling and Simulation in Engineering 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/5781602.

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The paper considers the possibility of using different approaches to modeling turbulence under conditions of highly developed convection at high Rayleigh numbers. A number of industrially oriented problems with experimental data have been chosen for the study. It is shown that, at Rayleigh numbers from 109 to 1017, the application of the eddy-resolving LES model makes it possible to substantially increase the accuracy of modeling natural convection in comparison with the linear vortex viscosity model SST. This advantage is most pronounced for cases of a vertical temperature difference with the formation of a large zone of convection of strong intensity. The use of the Reynolds stress model EARSM is shown for cases of natural convective flow in domains with dihedral angles in the simulated region and the predominance of secondary currents. When simulating a less intense convective flow, when the temperature difference is reached at one boundary, the differences in the approaches used to model turbulence are less significant. It is shown that, with increasing values of Rayleigh numbers, errors in the determination of thermohydraulic characteristics increase and, for more accurate determination of them, it is expedient to use eddy-resolving approaches to the modeling of turbulence.

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14

Decaix, Jean, Vlad Hasmatuchi, Maximilian Titzschkau, and Cécile Münch-Alligné. "CFD Investigation of a High Head Francis Turbine at Speed No-Load Using Advanced URANS Models." Applied Sciences 8, no. 12 (December 5, 2018): 2505. http://dx.doi.org/10.3390/app8122505.

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Due to the integration of new renewable energies, the electrical grid undergoes instabilities. Hydroelectric power plants are key players for grid control thanks to pumped storage power plants. However, this objective requires extending the operating range of the machines and increasing the number of start-up, stand-by, and shut-down procedures, which reduces the lifespan of the machines. CFD based on standard URANS turbulence modeling is currently able to predict accurately the performances of the hydraulic turbines for operating points close to the Best Efficiency Point (BEP). However, far from the BEP, the standard URANS approach is less efficient to capture the dynamics of 3D flows. The current study focuses on a hydraulic turbine, which has been investigated at the BEP and at the Speed-No-Load (SNL) operating conditions. Several “advanced” URANS models such as the Scale-Adaptive Simulation (SAS) SST k - ω and the BSL- EARSM have been considered and compared with the SST k - ω model. The main conclusion of this study is that, at the SNL operating condition, the prediction of the topology and the dynamics of the flow on the suction side of the runner blade channels close to the trailing edge are influenced by the turbulence model.

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15

Strokach, Evgenij, Igor Borovik, and Oscar Haidn. "Simulation of the GOx/GCH4 Multi-Element Combustor Including the Effects of Radiation and Algebraic Variable Turbulent Prandtl Approaches." Energies 13, no. 19 (September 23, 2020): 5009. http://dx.doi.org/10.3390/en13195009.

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Multi-element thrusters operating with gaseous oxygen (GOX) and methane (GCH4) have been numerically studied and the results were compared to test data from the Technical University of Munich (TUM). A 3D Reynolds Averaged Navier–Stokes Equations (RANS) approach using a 60° sector as a simulation domain was used for the studies. The primary goals were to examine the effect of the turbulent Prandtl number approximations including local algebraic approaches and to study the influence of radiative heat transfer (RHT). Additionally, the dependence of the results on turbulence modeling was studied. Finally, an adiabatic flamelet approach was compared to an Eddy-Dissipation approach by applying an enhanced global reaction scheme. The normalized and absolute pressures, the integral and segment averaged heat flux were taken as an experimental reference. The results of the different modeling approaches were discussed, and the best performing models were chosen. It was found that compared to other discussed approaches, the BaseLine Explicit Algebraic Reynolds Stress Model (BSL EARSM) provided more physical behavior in terms of mixing, and the adiabatic flamelet was more relevant for combustion. The effect of thermal radiation on the wall heat flux (WHF) was high and was strongly affected by spectral models and wall thermal emissivity. The obtained results showed good agreement with the experimental data, having a small underestimation for pressures of around 2.9% and a good representation of the integral wall heat flux.

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16

Jelínek, Tomáš, Petr Straka, and Milan Kladrubský. "Aerodynamic Characteristics of Steam Turbine Prismatic Blade Section." Applied Mechanics and Materials 821 (January 2016): 48–56. http://dx.doi.org/10.4028/www.scientific.net/amm.821.48.

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For the needs of high-performance steam turbines producer the data of a blade section measurement have been analyzed in detail using an experimental and numerical approach. The blade section is used on prismatic blades in high and medium pressure steam turbine parts. The linear blade cascade was tested at four pitch/chord ratios at two different stagger angles. The blade cascade was tested under two levels of Reynolds number in the range of output izentropic Mach numbers from 0.4 to 0.9.The inlet of the test section was measured pitch-wise by five-hole probe to determine the inlet flow angle. The free stream turbulence of inlet flow was determined at 2.5% what is very close to the operating conditions on first high pressure stages. Two-dimensional flow field at the center of the blades was traversed pitch-wise downstream the cascade by means of a five-hole needle pressure probe to find out the overall integral characteristics. The blade loading was measured throughout surface pressure taps at the blade center. An in-house code based on a system of Favre-averaged Navier-Stokes equation closed by non-linear two-equation EARSM k-ω turbulence model was adopted for the predictions. The code utilizes an algebraic model of bypass transition valid for both attached and separated flows taking into account the effect of free-stream turbulence and pressure gradient. Results are presented by integral characteristic in means of kinetic energy loss coefficient and velocity or pressure distribution in the blade wakes or on the blade surface. In this article, the effect of investigated criteria and comparison of experimental and numerical approach are presented and discussed.

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17

Moormann, Peter. "Mit sehenden Ohren." Archiv für Musikwissenschaft 77, no. 4 (2020): 314. http://dx.doi.org/10.25162/afmw-2020-0015.

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18

Blust, Robert. "Rat ears, tree ears, ghost ears and thunder ears n Austronesian languages." Bijdragen tot de taal-, land- en volkenkunde / Journal of the Humanities and Social Sciences of Southeast Asia 156, no. 4 (2000): 687–706. http://dx.doi.org/10.1163/22134379-90003826.

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19

BAUCHNER, H. "Ear, ears, and more ears!" Archives of Disease in Childhood 84, no. 2 (February 1, 2001): 185–86. http://dx.doi.org/10.1136/adc.84.2.185.

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20

o, Matsu, and Kiyonori Harii. "Ears." Plastic and Reconstructive Surgery 85, no. 4 (April 1990): 656. http://dx.doi.org/10.1097/00006534-199004000-00057.

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21

&NA;. "Ears." Plastic and Reconstructive Surgery 80, no. 1 (July 1987): 150. http://dx.doi.org/10.1097/00006534-198707000-00045.

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22

Harii, Kiyonori. "Ears." Plastic and Reconstructive Surgery 81, no. 2 (February 1988): 306. http://dx.doi.org/10.1097/00006534-198802000-00050.

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23

Wightman, Fred, and Doris Kistler. "Of vulcan ears, human ears and 'earprints'." Nature Neuroscience 1, no. 5 (September 1998): 337–39. http://dx.doi.org/10.1038/1541.

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24

Roy Benjamin. "Noirse-Made-Earsy:." Comparative Literature Studies 50, no. 4 (2013): 670. http://dx.doi.org/10.5325/complitstudies.50.4.0670.

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25

B owers and G ould. "Petrified ears." Clinical and Experimental Dermatology 23, no. 3 (May 1998): 143. http://dx.doi.org/10.1046/j.1365-2230.1998.00328.x.

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26

Skinner, Knute. "My Ears." Books Ireland, no. 213 (1998): 139. http://dx.doi.org/10.2307/20623629.

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27

Gorodecki, Michael, and John Paynter. "Opening Ears." Musical Times 133, no. 1794 (August 1992): 400. http://dx.doi.org/10.2307/1002669.

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28

Švantner, Martin. "Inferring Ears." American Journal of Semiotics 35, no. 1 (2019): 93–115. http://dx.doi.org/10.5840/ajs201982256.

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This paper draws attention to two important and fruitful anecdotes from history useful for the development of a cognitive semiotic approach to music. The first is from Peirce’s writings, describing a complete structural change of understanding, perception and listening to music. Peirce describes the invention of a specific cognitive pidgin and the emergence of new social, embodied and cerebral habits. This emergence is shown in the example of Peirce’s friend who allegedly lost his sense of hearing but still enjoys music—no thanks to his ears. The second case study considers the “inferring ear” of Jimi Hendrix and his cooperation with Miles Davis, who taught Hendrix how to codify what he heard. Hence these anecdotes open pathways into the problem of the nature of musical perception, useful for exploring the codification and learning of music in particular. The nature of these abilities may be seen as intersubjective mimetics that are mediated through suprasubjective, triadic, embodied relations (signs). The article analyzes these topics from a point of view of a Peircean framework (with detours into the work of T. Deacon, V. Colapietro and G. Deleuze), aming to show the interconnections between such perspectives and some examples of contemporary neuroscientific research in this field.

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29

Chial, Michael. "Biomark-ears." New Scientist 202, no. 2707 (May 2009): 25. http://dx.doi.org/10.1016/s0262-4079(09)61250-1.

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30

Ball, Carly L. "All ears." BSAVA Companion 2012, no. 9 (September 1, 2012): 23. http://dx.doi.org/10.22233/20412495.0912.23.

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31

Yack, J. E., and J. H. Fullard. "Flapping ears." Current Biology 10, no. 7 (April 2000): R257. http://dx.doi.org/10.1016/s0960-9822(00)00412-7.

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32

Soares, Christine. "External Ears." Scientific American 301, no. 3 (September 2009): 73. http://dx.doi.org/10.1038/scientificamerican0909-73b.

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33

Douek, Ellis. "‘GLUE-EARS’." Developmental Medicine & Child Neurology 14, no. 1 (November 12, 2008): 81–83. http://dx.doi.org/10.1111/j.1469-8749.1972.tb02561.x.

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34

Sheehan, Moira. "All ears." Nature 446, no. 7139 (April 2007): 1114. http://dx.doi.org/10.1038/nj7139-1114c.

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35

Wright, Oliver J., James W. Wright, and William G. Chambers. "Blocked ears." InnovAiT: Education and inspiration for general practice 13, no. 5 (February 19, 2020): 289–96. http://dx.doi.org/10.1177/1755738020906189.

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Blocked ears are a common presenting complaint in primary care, and although the cause is usually benign, a structured clinical approach and examination are essential to avoid missing more significant causes. In this article, we discuss the clinical approach, aetiology and management of the wide range of conditions that lead to the sensation of blocked ears, and provide guidance on referral to secondary care.

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36

van der Heijden, Marcel. "Different ears." Journal of the Acoustical Society of America 135, no. 4 (April 2014): 2252. http://dx.doi.org/10.1121/1.4877380.

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37

KEANE, F. M., B. MULLER, and G. M. MURPHY. "Petrified ears." Clinical and Experimental Dermatology 22, no. 05 (September 1997): 242–43. http://dx.doi.org/10.1046/j.1365-2230.1997.2440658.x.

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38

Boo-Chai, Khoo. "Prominent ears." Plastic and Reconstructive Surgery 78, no. 1 (July 1986): 131. http://dx.doi.org/10.1097/00006534-198607000-00043.

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39

Lloyd-Hughes, Rhiannon, and Iain McKay-Davies. "Blocked ears." InnovAiT: Education and inspiration for general practice 8, no. 2 (December 19, 2014): 90–97. http://dx.doi.org/10.1177/1755738014557875.

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40

Karrs, Jeremiah X., Jonathan Bass, and Thomas Karrs. "Inflexible Ears." JAMA Dermatology 152, no. 3 (March 1, 2016): 335. http://dx.doi.org/10.1001/jamadermatol.2015.4761.

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41

Wicks, Ian. "All Ears." JAMA 318, no. 4 (July 25, 2017): 394. http://dx.doi.org/10.1001/jama.2017.1593.

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42

Boo-Chai, Khoo. "HEAD Ears." Plastic and Reconstructive Surgery 80, no. 6 (December 1987): 873. http://dx.doi.org/10.1097/00006534-198712000-00047.

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43

Hermans, L. F. J. "Old ears." Europhysics News 36, no. 1 (January 2005): 27. http://dx.doi.org/10.1051/epn:2005109.

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44

Harrington, Monica. "All ears." Lab Animal 43, no. 6 (May 20, 2014): 189. http://dx.doi.org/10.1038/laban.545.

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45

William Corbett. "Big Ears." American Book Review 31, no. 3 (2010): 9–10. http://dx.doi.org/10.1353/abr.0.0115.

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46

Garval, Michael D. "Cléo's Ears." Dix-Neuf 10, no. 1 (April 2008): 25–35. http://dx.doi.org/10.1179/147873108790906604.

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47

Rotella, Carlo. "Open Ears." American Quarterly 55, no. 4 (2003): 749–60. http://dx.doi.org/10.1353/aq.2003.0046.

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48

Thomson, H. G., and M. J. Brockbank. "Discharging ears." BMJ 297, no. 6642 (July 16, 1988): 202. http://dx.doi.org/10.1136/bmj.297.6642.202.

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49

Maiti, Anindya, and Murtuza Jadliwala. "Light Ears." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, no. 3 (September 9, 2019): 1–27. http://dx.doi.org/10.1145/3351256.

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50

Rallis, Efstathios, and Stephanos Kintzoglou. "Ashy Ears." Scientific World JOURNAL 10 (2010): 1530–31. http://dx.doi.org/10.1100/tsw.2010.147.

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