The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.
Two-equation eddy-viscosity turbulence models for engineering applications
Abstract
Two new two-equation eddy-viscosity turbulence models will be presented.They combine different elements of existing models that are considered superior to their alternatives.The first model, referred to as the baseline (BSL) model, utilizes the original k-u model of Wilcox in the inner region of the boundary layer and switches to the standard A>e model in the outer region and in free shear flows.It has a performance similar to the Wilcox model, but avoids that model's strong freestream sensitivity.The second model results from a modification to the definition of the eddy-viscosity in the BSL model, which accounts for the effect of the transport of the principal turbulent shear stress.The new model is called the shear-stress transport-model and leads to major improvements in the prediction of adverse pressure gradient flows.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Most probably the most significant advantage of the k -w formulation is that it does not involve damping functions like the k -# model, thereby being numerically more robust and simplifying the implementation of boundary conditions [227].”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [227]
In the citing paper
“The turbulent viscosity is highly depending on the value of w specified outside of the boundary layer, like, for instance at the inlet [227].”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [227]
Citations
Cites
Reassessment of the scale-determining equation for advanced turbulence models
Wilcox, D. C. (1988) · AIAA Journal · doi:10.2514/3.10041 · Cited by 3,125
Zonal Two Equation k-w Turbulence Models For Aerodynamic Flows
Menter, F. (1993) · AIAA Fluid Dynamics, Plasma Dynamics and Lasers Conference · doi:10.2514/6.1993-2906 · Cited by 2,851
Self-citationLaunder, B. E., & Sharma, B. I. (1974) · Letters in Heat and Mass Transfer · doi:10.1016/0094-4548(74)90150-7 · Cited by 2,794
Features of a reattaching turbulent shear layer in divergent channelflow
Driver, D. M., & Seegmiller, H. L. (1985) · AIAA Journal · doi:10.2514/3.8890 · Cited by 699
Influence of freestream values on k-omega turbulence model predictions
Menter, F. R. (1992) · AIAA Journal · doi:10.2514/3.11115 · Cited by 426
Self-citationRodi, W. (1991) · AIAA Aerospace Sciences Meeting · doi:10.2514/6.1991-216 · Cited by 366
Johnson, D. A., & King, L. S. (1985) · AIAA Journal · doi:10.2514/3.9152 · Cited by 365
Comparison of two-equation turbulence models for boundary layers with pressure gradient
Wilcox, D. C. (1993) · AIAA Journal · doi:10.2514/3.11790 · Cited by 332
Performance of popular turbulence model for attached and separated adverse pressure gradient flows
Menter, F. R. (1992) · AIAA Journal · doi:10.2514/3.11180 · Cited by 259
Self-citationFlying-Hot-wire Study of Flow Past an NACA 4412 Airfoil at Maximum Lift
Coles, D., & Wadcock, A. J. (1979) · AIAA Journal · doi:10.2514/3.61127 · Cited by 254
Research works printed but not linked: 3
- Huang P. G., 1992, NASA TM-103882
- Rogers S. E., 1993, private communication. NASA Ames
- Menter F. R., 1993, Proceedings of the Second International Symposium on Engineering Turbulence Modeling and Measurements, 229
Cited by
Sorted by citations
Items 101–200 of 1,005
Rezaeiha, A., Montazeri, H., & Blocken, B. J. E. (2017) · Energy Conversion and Management · doi:10.1016/j.enconman.2017.11.026 · Cited by 220
Aspects of turbulent boundary-layer separation
Simpson, R. L. (1996) · Progress in Aerospace Sciences · doi:10.1016/0376-0421(95)00012-7 · Cited by 219
A Computational and Experimental Investigation of the Human Thermal Plume
Craven, B. A., & Settles, G. S. (2006) · Journal of Fluids Engineering · doi:10.1115/1.2353274 · Cited by 218
Data-driven POD-Galerkin reduced order model for turbulent flows
Hijazi, S., Stabile, G., Mola, A., & Rozza, G. (2020) · Journal of Computational Physics · doi:10.1016/j.jcp.2020.109513 · Cited by 218
Harrison, M., Batten, W. M. J., Myers, L. E., & Bahaj, A. S. (2010) · IET Renewable Power Generation · doi:10.1049/iet-rpg.2009.0193 · Cited by 217
Tsunami wave interaction with mangrove forests: A 3-D numerical approach
Maza, M., Lara, J. L., & Losada, Í. J. (2015) · Coastal Engineering · doi:10.1016/j.coastaleng.2015.01.002 · Cited by 217
Talukdar, P. K., Sardar, A., Kulkarni, V. N., & Saha, U. K. (2018) · Energy Conversion and Management · doi:10.1016/j.enconman.2017.12.011 · Cited by 215
Pan, Z., Cui, W., & Miao, Q.-Y. (2006) · Journal of Fluids and Structures · doi:10.1016/j.jfluidstructs.2006.07.007 · Cited by 212
Characteristics of Dual Transverse Injection in Scramjet Combustor, Part 1: Mixing
Lee, S. (2006) · Journal of Propulsion and Power · doi:10.2514/1.14180 · Cited by 211
CFD modeling of bubble-induced turbulence
Rzehak, R., & Krepper, E. (2013) · International Journal of Multiphase Flow · doi:10.1016/j.ijmultiphaseflow.2013.04.007 · Cited by 213
Jarrin, N., Prosser, R., Uribe, J., Benhamadouche, S., & Laurence, D. R. (2009) · International Journal of Heat and Fluid Flow · doi:10.1016/j.ijheatfluidflow.2009.02.016 · Cited by 208
Dynamic stall simulation of a pitching airfoil under unsteady freestream velocity
Gharali, K., & Johnson, D. A. (2013) · Journal of Fluids and Structures · doi:10.1016/j.jfluidstructs.2013.05.005 · Cited by 207
Dynamic overset CFD simulations of wind turbine aerodynamics
Li, Y., Paik, K.-J., Xing, T., & Carrica, P. M. (2011) · Renewable Energy · doi:10.1016/j.renene.2011.06.029 · Cited by 206
Effect of particle size on erosion characteristics
Nguyen, V. B., Nguyen, Q. B., Zhang, Y., Lim, C. Y. H., & Khoo, B. C. (2015) · Wear · doi:10.1016/j.wear.2015.12.003 · Cited by 202
A numerical model for fully coupled aero-hydrodynamic analysis of floating offshore wind turbine
Cheng, P., Huang, Y., & Wan, D. (2019) · Ocean Engineering · doi:10.1016/j.oceaneng.2018.12.021 · Cited by 204
OpenLB—Open source lattice Boltzmann code
Krause, M. J., Kummerländer, A., Avis, S. J., Kusumaatmaja, H., Dapelo, D., Klemens, F., Gaedtke, M., Hafen, N., Mink, A., Trunk, R., et al. (2021) · Computers & Mathematics with Applications · doi:10.1016/j.camwa.2020.04.033 · Cited by 203
Defraeye, T., Blocken, B. J. E., & Carmeliet, J. (2009) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2009.09.029 · Cited by 201
Lam, H., & Peng, H. Y. (2016) · Renewable Energy · doi:10.1016/j.renene.2016.01.011 · Cited by 201
Wu, J., Xiao, H., Sun, R., & Wang, Q. (2019) · Journal of Fluid Mechanics · doi:10.1017/jfm.2019.205 · Cited by 201
Wang, J., Chen, K., Zeng, M., Ma, T., Wang, Q., & Cheng, Z. (2023) · Energy Conversion and Management · doi:10.1016/j.enconman.2023.116955 · Cited by 198
Perén, J. I., van Hooff, T., Leite, B. C. C., & Blocken, B. J. E. (2014) · Building and Environment · doi:10.1016/j.buildenv.2014.12.007 · Cited by 197
Coates, M. S., Fletcher, D. F., Chan, H., & Raper, J. A. (2004) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.20201 · Cited by 197
Numerical simulation of cavitating flows with homogeneous models
da Silva, E. G., & Patella, R. F. (2009) · Computers & Fluids · doi:10.1016/j.compfluid.2009.03.001 · Cited by 195
Cross-wind effects on road and rail vehicles
Baker, C., Cheli, F., Orellano, A., Paradot, N., Proppe, C., & Rocchi, D. (2009) · Vehicle System Dynamics · doi:10.1080/00423110903078794 · Cited by 195
Thé, J., & Yu, H. (2017) · Energy · doi:10.1016/j.energy.2017.07.028 · Cited by 194
Yuan, C., Adelia, A. S., Mei, S.-J., He, W., Li, X., & Norford, L. K. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.106876 · Cited by 194
Xing, Y., Spring, S. D., & Weigand, B. (2010) · ASME Journal of Heat and Mass Transfer · doi:10.1115/1.4001633 · Cited by 192
Alipour, H., Karimipour, A., Safaei, M. R., Toghraie, D. S., & Akbari, O. A. (2016) · Physica E Low-dimensional Systems and Nanostructures · doi:10.1016/j.physe.2016.11.021 · Cited by 192
Thamsen, B., Blümel, B., Schaller, J., Paschereit, C. O., Affeld, K., Goubergrits, L., & Kertzscher, U. (2015) · Artificial Organs · doi:10.1111/aor.12542 · Cited by 191
Some improvements in Menter's k-omega SST turbulence model
Hellsten, A. (1998) · AIAA Fluid Dynamics Conference · doi:10.2514/6.1998-2554 · Cited by 190
Solnordal, C. B., Wong, C. Y., & Boulanger, J. (2015) · Wear · doi:10.1016/j.wear.2015.04.017 · Cited by 190
Ramponi, R., & Blocken, B. J. E. (2012) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2012.02.005 · Cited by 189
Turbulence modeling of deep dynamic stall at relatively low Reynolds number
Wang, S., Ingham, D. B., Ma, L., Pourkashanian, M. M., & Tao, Z. (2012) · Journal of Fluids and Structures · doi:10.1016/j.jfluidstructs.2012.04.011 · Cited by 188
Assessment of large eddy and RANS stirred tank simulations by means of LDA
Hartmann, H., Derksen, J. J., Montavon, C., Pearson, J. K., Hamill, I. S., & den Akker, H. E. A. V. (2004) · Chemical Engineering Science · doi:10.1016/j.ces.2004.01.065 · Cited by 192
Mader, C. A., Kenway, G. K., Yıldırım, A., & Martins, J. R. R. A. (2020) · Journal of Aerospace Information Systems · doi:10.2514/1.i010796 · Cited by 188
Numerical prediction of turbulent flow and heat transfer in helically coiled pipes
Piazza, I. D., & Ciofalo, M. (2009) · International Journal of Thermal Sciences · doi:10.1016/j.ijthermalsci.2009.10.001 · Cited by 185
Tran, T.-T., & Kim, D.-H. (2015) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2015.03.009 · Cited by 185
Differential Reynolds-Stress Modeling for Aeronautics
Cécora, R.-D., Radespiel, R., Eisfeld, B., & Probst, A. (2014) · AIAA Journal · doi:10.2514/1.j053250 · Cited by 185
CFD-aided modelling of activated sludge systems – A critical review
Karpinska, A. M., & Bridgeman, J. O. (2015) · Water Research · doi:10.1016/j.watres.2015.11.008 · Cited by 185
Lu, H., & Zhao, W. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.03.095 · Cited by 185
Olesen, A. C., Frensch, S. H., & Kær, S. K. (2018) · Electrochimica Acta · doi:10.1016/j.electacta.2018.10.008 · Cited by 185
Investigations of data-driven closure for subgrid-scale stress in large-eddy simulation
Wang, Z., Luo, K., Dong, L., Tan, J., & Fan, J. (2018) · Physics of Fluids · doi:10.1063/1.5054835 · Cited by 187
Roof mounting site analysis for micro-wind turbines
Gomis, L. L., Kosasih, B., & Cooper, P. W. (2010) · Renewable Energy · doi:10.1016/j.renene.2010.10.030 · Cited by 184
Rocha, P. A. C., Rocha, H. H. B., Carneiro, F. O. M., da Silva, M. E. V., & Bueno, A. V. (2013) · Energy · doi:10.1016/j.energy.2013.11.050 · Cited by 183
Numerical Study of Blowing and Suction Control Mechanism on NACA0012 Airfoil
Huang, L., Huang, P. G., LeBeau, R., & Häuser, T. (2004) · Journal of Aircraft · doi:10.2514/1.2255 · Cited by 183
Numerical simulation of hypersonic flow over highly blunted cones with spike
Gerdroodbary, M. B., & Hosseinalipour, S. M. (2010) · Acta Astronautica · doi:10.1016/j.actaastro.2010.01.026 · Cited by 182
Bianchini, A., Balduzzi, F., Bachant, P., Ferrara, G., & Ferrari, L. (2017) · Energy Conversion and Management · doi:10.1016/j.enconman.2017.01.026 · Cited by 182
Lotfi, B., Sunden, B. A., & Wang, Q. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.07.065 · Cited by 182
Maı̂tre, T., Amet, E., & Pellone, C. (2012) · Renewable Energy · doi:10.1016/j.renene.2012.09.030 · Cited by 181
Experimental and computational investigation of vertical downflow condensation
Lee, H., Kharangate, C. R., Mascarenhas, N., Park, I., & Mudawar, I. (2015) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2015.02.037 · Cited by 181
Douvi, E. C. (2012) · Journal of Mechanical Engineering Research · doi:10.5897/jmer11.074 · Cited by 180
Assessment of RANS and DES methods for realistic automotive models
Ashton, N., West, A., Lardeau, S., & Revell, A. J. (2016) · Computers & Fluids · doi:10.1016/j.compfluid.2016.01.008 · Cited by 180
An unsteady single‐phase level set method for viscous free surface flows
Carrica, P. M., Wilson, R. V., & Stern, F. (2006) · International Journal for Numerical Methods in Fluids · doi:10.1002/fld.1279 · Cited by 180
Lee, S.-M., & Kim, K. (2013) · Heat and Mass Transfer · doi:10.1007/s00231-013-1149-4 · Cited by 179
Effect of variation of angle of attack on the performance of two-strut scramjet combustor
Choubey, G., & Pandey, K. M. (2016) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2016.04.048 · Cited by 179
Three-dimensional interaction of waves and porous coastal structures
del Jesús, M., Lara, J. L., & Losada, Í. J. (2012) · Coastal Engineering · doi:10.1016/j.coastaleng.2012.01.008 · Cited by 178
Coates, M. S., Chan, H., Fletcher, D. F., & Raper, J. A. (2005) · Pharmaceutical Research · doi:10.1007/s11095-005-6155-x · Cited by 177
A review on the technologies, design considerations and numerical models of tidal current turbines
Nachtane, M., Tarfaoui, M., Goda, I., & Rouway, M. (2020) · Renewable Energy · doi:10.1016/j.renene.2020.04.155 · Cited by 177
Shojaeefard, . H., Tahani, M., Ehghaghi, M. B., Fallahian, M., & Beglari, M. (2012) · Computers & Fluids · doi:10.1016/j.compfluid.2012.02.028 · Cited by 176
Forsythe, J., Hoffmann, K. A., Cummings, R. M., & Squires, K. D. (2002) · Journal of Fluids Engineering · doi:10.1115/1.1517572 · Cited by 176
Montazeri, H., & Montazeri, F. (2017) · Renewable Energy · doi:10.1016/j.renene.2017.11.032 · Cited by 176
Ji, B., Luo, X., Peng, X., Wu, Y., & Xu, H. (2012) · International Journal of Multiphase Flow · doi:10.1016/j.ijmultiphaseflow.2012.02.006 · Cited by 175
Kan, K., Zhang, Q., Xu, Z., Zheng, Y. G., Gao, Q., & Shen, L. (2022) · Energy · doi:10.1016/j.energy.2022.124532 · Cited by 175
Review on the numerical investigations into the design and development of Savonius wind rotors
Roy, S., & Saha, U. K. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.03.060 · Cited by 174
TRANSITION MODELLING BASED ON LOCAL VARIABLES
Menter, F. R., Esch, T., & Kubacki, S. (2002) · Elsevier eBooks · doi:10.1016/b978-008044114-6/50053-3 · Cited by 174
Self-citationHeat transfer in all pipe flow regimes: laminar, transitional/intermittent, and turbulent
Abraham, J., Sparrow, E. M., & Tong, J. C. K. (2008) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2008.07.009 · Cited by 173
Balduzzi, F., Bianchini, A., Ferrara, G., & Ferrari, L. (2016) · Energy · doi:10.1016/j.energy.2015.12.111 · Cited by 173
Combustion modelling opportunities and challenges for oxy-coal carbon capture technology
Edge, P. J., Gharebaghi, M., Irons, R., Porter, R., Porter, R., Pourkashanian, M. M., Smith, D., Stephenson, P. L., & Williams, A. (2010) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2010.11.010 · Cited by 172
Zhao, M., & Cheng, L. (2011) · Journal of Fluids and Structures · doi:10.1016/j.jfluidstructs.2011.07.001 · Cited by 170
The effects of aerofoil profile modification on a vertical axis wind turbine performance
Ismail, M. F., & Vijayaraghavan, K. (2015) · Energy · doi:10.1016/j.energy.2014.11.034 · Cited by 169
Zamāni, M., Maghrebi, M. J., & Varedi, S. R. (2016) · Renewable Energy · doi:10.1016/j.renene.2016.03.069 · Cited by 169
Zhang, F., Appiah, D., Hong, F., Zhang, J., Yuan, S., Adu-Poku, K. A., & Wei, X. (2020) · International Communications in Heat and Mass Transfer · doi:10.1016/j.icheatmasstransfer.2020.104526 · Cited by 168
Recent Enhancements to the FUN3D Flow Solver for Moving-Mesh Applications
Biedron, R. T., & Thomas, J. L. (2009) · AIAA Aerospace Sciences Meeting · doi:10.2514/6.2009-1360 · Cited by 167
Jubayer, C., & Hangan, H. M. (2016) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2016.03.009 · Cited by 167
Toja-Silva, F., Takaaki, K. O. N. O., Peralta, C., López‐García, Ó., & Chen, J. (2018) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2018.07.010 · Cited by 168
Assessment of Various Turbulence Models for Transitional Flows in an Enclosed Environment (RP-1271)
Wang, M., & Chen, Q. (2009) · Science and Technology for the Built Environment · doi:10.1080/10789669.2009.10390881 · Cited by 166
Olesen, A. C., Rømer, C., & Kær, S. K. (2015) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2015.09.140 · Cited by 166
An evaluation of RANS turbulence modelling for aerodynamic applications
Catalano, P., & Amato, M. (2003) · Aerospace Science and Technology · doi:10.1016/s1270-9638(03)00061-0 · Cited by 166
Constantine, P. G., Emory, M. A., Larsson, J., & Iaccarino, G. (2015) · Journal of Computational Physics · doi:10.1016/j.jcp.2015.09.001 · Cited by 165
Tominaga, Y. (2015) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2015.03.013 · Cited by 165
SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport
Chauchat, J., Cheng, Z. F., Nagel, T., Bonamy, C., & Hsu, T. (2017) · Geoscientific model development · doi:10.5194/gmd-10-4367-2017 · Cited by 165
Heenan, A. F., Matida, E. A., Pollard, A., & Finlay, W. H. (2003) · Experiments in Fluids · doi:10.1007/s00348-003-0636-7 · Cited by 165
Tartuferi, M., D’Alessandro, V., Montelpare, S., & Ricci, R. A. (2014) · Energy · doi:10.1016/j.energy.2014.11.023 · Cited by 163
Characteristics of Secondary Flow Induced by 90-Degree Elbow in Turbulent Pipe Flow
Kim, J., Yadav, M. S., & Kim, S.-J. (2014) · Engineering Applications of Computational Fluid Mechanics · doi:10.1080/19942060.2014.11015509 · Cited by 162
de Boer, A. H., Chan, H., & Price, R. (2011) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2011.04.004 · Cited by 161
CFD for subcooled flow boiling: Simulation of DEBORA experiments
Krepper, E., & Rzehak, R. (2011) · Nuclear Engineering and Design · doi:10.1016/j.nucengdes.2011.07.003 · Cited by 165
POD-Galerkin method for finite volume approximation of Navier–Stokes and RANS equations
Lorenzi, S., Cammi, A., Luzzi, L., & Rozza, G. (2016) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2016.08.006 · Cited by 161
Zhang, B., Song, B., Mao, Z., Tian, W., & Li, B. (2017) · Energy · doi:10.1016/j.energy.2017.05.051 · Cited by 161
Faculty of Mechanical Engineering
Zvolenský, P. (2003) · Communications - Scientific letters of the University of Zilina · doi:10.26552/com.c.2003.3.17-26 · Cited by 161
Numerical investigation on heat transfer of supercritical CO2 in heated helically coiled tubes
Wang, K., Xu, X., Wu, Y., Liu, C., & Dang, C. (2015) · The Journal of Supercritical Fluids · doi:10.1016/j.supflu.2015.02.001 · Cited by 160
Flow control on the NREL S809 wind turbine airfoil using vortex generators
Wang, H., Zhang, B., Qiu, Q., & Xu, X. (2016) · Energy · doi:10.1016/j.energy.2016.11.003 · Cited by 160
The development of algebraic stress models using a novel evolutionary algorithm
Weatheritt, J., & Sandberg, R. D. (2017) · International Journal of Heat and Fluid Flow · doi:10.1016/j.ijheatfluidflow.2017.09.017 · Cited by 158
Mazzelli, F., Little, A. B., Garimella, S., & Bartosiewicz, Y. (2015) · International Journal of Heat and Fluid Flow · doi:10.1016/j.ijheatfluidflow.2015.08.003 · Cited by 158
Turbulent flow and loading on a tidal stream turbine by LES and RANS
Afgan, I., McNAUGHTON, J. L., Rolfo, S., Apsley, D., Stallard, T., & STANSBY, P. K. (2013) · International Journal of Heat and Fluid Flow · doi:10.1016/j.ijheatfluidflow.2013.03.010 · Cited by 158
Combustion oscillations in a scramjet engine combustor with transverse fuel injection
Choi, J., Ma, F., & Yang, V. (2005) · Proceedings of the Combustion Institute · doi:10.1016/j.proci.2004.08.250 · Cited by 157
Numerical simulation of wind effects on a stand-alone ground mounted photovoltaic (PV) system
Jubayer, C., & Hangan, H. M. (2014) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2014.08.008 · Cited by 156
Local transport and reaction rates in a fixed bed reactor tube: Endothermic steam methane reforming
Dixon, A. G. (2017) · Chemical Engineering Science · doi:10.1016/j.ces.2017.04.039 · Cited by 156
Choubey, G., & Pandey, K. M. (2018) · Acta Astronautica · doi:10.1016/j.actaastro.2018.01.034 · Cited by 155
Ground Effect Aerodynamics of Race Cars
Zhang, X., Toet, W., & Zerihan, J. (2006) · Applied Mechanics Reviews · doi:10.1115/1.2110263 · Cited by 154
Modeling of structural uncertainties in Reynolds-averaged Navier-Stokes closures
Emory, M. A., Larsson, J., & Iaccarino, G. (2013) · Physics of Fluids · doi:10.1063/1.4824659 · Cited by 154
Metadata
- Authors
- Menter, F. R.
- Affiliations
- Ames Research Center (US)
- Corresponding author
- Menter, F. R.
- Venue
- AIAA Journal
- Published
- 1994-08
- Volume
- 32
- Issue
- 8
- Pages
- 1598-1605
- ISSN
- 0001-1452 (ISSN-L)
- 1533-385X
- OpenAlex
- W1974097079
- Cited by
- 21,593
- References
- 23
- Citations by year
- 2026: 2084 · 2025: 1886 · 2024: 1871 · 2023: 1823 · 2022: 1676 · 2021: 1500 · 2020: 1346 · 2019: 1281 · 2018: 1133 · 2017: 1011 · 2016: 907 · 2015: 808 · 2014: 739 · 2013: 560 · 2012: 585
- FWCI
- 16.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- AIAA Journal (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
- Physical Sciences › Engineering › Computational Mechanics › Fluid Dynamics and Turbulent Flows
- Physical Sciences › Engineering › Aerospace Engineering › Turbomachinery Performance and Optimization
- Keywords
- k-omega turbulence model, Wilcox k-omega model, shear stress transport turbulence model, boundary layer turbulence, free shear flow
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review