- Access by Xinjiang University
Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence
Phys. Rev. Fluids 9, 094608 – Published 26 September, 2024
DOI: https://doi.org/10.1103/PhysRevFluids.9.094608
Abstract
Models for solving the Reynolds-averaged Navier-Stokes equations are popular tools for predicting complex turbulent flows due to their computational affordability and their ability to provide or estimate quantities of engineering interest. However, results depend on a proper treatment of unclosed terms, which require progress in the development and assessment of model forms. In this study, we consider the Reynolds stress transport equations as a framework for second-moment turbulence closure modeling. We specifically focus on the terms responsible for decay of the Reynolds stresses, which can be isolated and evaluated separately from other terms in a canonical setup of homogeneous turbulence. We show that by using anisotropic forcing of the momentum equation, we can access states of turbulence traditionally not probed in a triply periodic domain. The resulting data span a wide range of anisotropic turbulent behavior in a more comprehensive manner than extant literature. We then considered a variety of model forms for which these data allow us to perform a robust selection of model coefficients, and we selected an optimal model that extends to cubic terms when expressed in terms of the principal coordinate Reynolds stresses. Performance of the selected decay model is then examined relative to the simulation data and popular models from the literature, demonstrating the superior accuracy of the developed model and, in turn, the efficacy of this framework for model selection and tuning.
Physics Subject Headings (PhySH)
Article Text
References (43)
- S. B. Pope, Turbulent Flows (Cambridge University Press, 2000).
- P. A. Durbin and B. A. Pettersson Reif, Statistical Theory and Modeling for Turbulent Flows (Wiley, 2010).
- NASA Langley Research Center turbulence modeling resource, https://turbmodels.larc.nasa.gov/index.html (2023).
- G. Alfonsi, Reynolds-averaged Navier–Stokes equations for turbulence modeling, Appl. Mech. Rev. 62, 040802 (2009).
- K. Duraisamy, G. Iaccarino, and H. Xiao, Turbulence modeling in the age of data, Annu. Rev. Fluid Mech. 51, 357 (2019).
- P. A. Durbin, Some recent developments in turbulence closure modeling, Annu. Rev. Fluid Mech. 50, 77 (2018).
- B. E. Launder, G. J. Reece, and W. Rodi, Progress in the development of a Reynolds-stress turbulence closure, J. Fluid Mech. 68, 537 (1975).
- C. G. Speziale, S. Sarkar, and T. B. Gatski, Modelling the pressure–strain correlation of turbulence: an invariant dynamical systems approach, J. Fluid Mech. 227, 245 (1991).
- W. C. Reynolds, Computation of turbulent flows, Annu. Rev. Fluid Mech. 8, 183 (1976).
- P. K. Yeung and J. G. Brasseur, The response of isotropic turbulence to isotropic and anisotropic forcing at the large scales, Phys. Fluids 3, 884 (1991).
- J. L. Lumley, Some comments on turbulence, Phys. Fluids 4, 203 (1992).
- S. V. Poroseva, Modeling the “rapid” part of the velocity/pressure-gradient correlation in inhomogeneous turbulence, Center Turbul. Res. Annu. Res. Briefs, 367 (2001).
- J. Rotta, Statistische theorie nichthomogener turbulenz, Z. Phys. 129, 547 (1951).
- S. Sarkar and C. G. Speziale, A simple nonlinear model for the return to isotropy in turbulence, Phys. Fluids 2, 84 (1990).
- M. K. Chung and S. K. Kim, A nonlinear return-to-isotropy model with Reynolds number and anisotropy dependency, Phys. Fluids 7, 1425 (1995).
- T. S. Lundgren, Linearly forced isotropic turbulence, Center Turbul. Res. Annu. Res. Briefs, 461 (2003).
- C. Rosales and C. Meneveau, Linear forcing in numerical simulations of isotropic turbulence: Physical space implementations and convergence properties, Phys. Fluids 17, 095106 (2005).
- K. J. Rah, C. Dhandapani, and G. Blanquart, Derivation of a realistic forcing term to reproduce the turbulent characteristics of round jets on the centerline, Phys. Rev. Fluids 3, 084606 (2018).
- C. Dhandapani, K. J. Rah, and G. Blanquart, Effective forcing for direct numerical simulations of the shear layer of turbulent free shear flows, Phys. Rev. Fluids 4, 084606 (2019).
- Y. R. Yi and J. R. Koseff, Underlying physics of mixing efficiency for shear-forced, stratified turbulence, Phys. Rev. Fluids 8, 084803 (2023).
- J. Smagorinsky, General circulation experiments with the primitive equations: I. the basic experiment, Monthly Weather Review 91, 99 (1963).
- D. K. Lilly, On the Application of the Eddy Viscosity Concept in the Inertial Sub-range of Turbulence, Tech. Rep. 123 (NCAR, Boulder, CO, 1966).
- M. Bassenne, J. Urzay, G. I. Park, and P. Moin, Constant-energetics physical-space forcing methods for improved convergence to homogeneous-isotropic turbulence with application to particle-laden flows, Phys. Fluids 28, 035114 (2016).
- O. B. Shende, L. Storan, and A. Mani, A model for drift velocity mediated scalar eddy diffusivity in homogeneous turbulent flows, J. Fluid Mech. 989, A14 (2024).
- M. Emory and G. Iaccarino, Visualizing turbulence anisotropy in the spatial domain with componentality contours, Center Turbul. Res. Annu. Res. Briefs, 123 (2014).
- S. Banerjee, R. Krahl, F. Durst, and C. Zenger, Presentation of anisotropy properties of turbulence, invariants versus eigenvalue approaches, J. Turbul. 8, N32 (2007).
- K.-S. Choi and J. L. Lumley, The return to isotropy of homogeneous turbulence, J. Fluid Mech. 436, 59 (2001).
- H. Pouransari, M. Mortazavi, and A. Mani, Parallel variable-density particle-laden turbulence simulation (2016), arXiv:1601.05448.
- Y. Shirian, J. A. Horwitz, and A. Mani, On the convergence of statistics in simulations of stationary incompressible turbulent flows, Comput. Fluids 266, 106046 (2023).
- I. Stiperski, G. G. Katul, and M. Calaf, Universal return to isotropy of inhomogeneous atmospheric boundary layer turbulence, Phys. Rev. Lett. 126, 194501 (2021).
- L. Le Penven, J. N. Gence, and G. Comte-Bellot, On the approach to isotropy of homogeneous turbulence: Effect of the partition of kinetic energy among the velocity components, in Frontiers in Fluid Mechanics, edited by S. H. Davis and J. L. Lumley (Springer, Berlin, 1985), pp. 1–21.
- K. S. Choi and J. L. Lumley, Return to isotropy of homogeneous turbulence revisited, in Turbulence and Chaotic Phenomena in Fluids, Proceedings of the International Symposium, Kyoto, Japan, 5-10 September, 1983 (North-Holland, Amsterdam, 1984), pp. 267–272.
- J. N. Gence and J. Mathieu, The return to isotropy of an homogeneous turbulence having been submitted to two successive plane strains, J. Fluid Mech. 101, 555 (1980).
- H. J. Tucker and A. J. Reynolds, The distortion of turbulence by irrotational plane strain, J. Fluid Mech. 32, 657 (1968).
- T. Dakao and M. M. Gibson, The decay of anisotropic homogeneous turbulence, in Engineering Turbulence Modelling and Experiments: Proceedings of the International Symposium on Engineering Turbulence Modelling and Measurements, 24-28 September 1990, Dubrovnik, Yugoslavia, edited by W. Rodi and E. N. Ganić (Elsevier, New York, 1990).
- U. Schumann, Realizability of Reynolds-stress turbulence models, Phys. Fluids 20, 721 (1977).
- C. G. Speziale, R. Abid, and P. A. Durbin, On the realizability of reynolds stress turbulence closures, J. Sci. Comput. 9, 369 (1994).
- G. James, D. Witten, T. Hastie, and R. Tibshirani, Resampling methods, An Introduction to Statistical Learning: With Applications in R (Springer, New York, 2021), pp. 197–223.
- P. K. Yeung and Y. Zhou, Numerical study of rotating turbulence with external forcing, Phys. Fluids 10, 2895 (1998).
- Y. B. Baqui and P. A. Davidson, A phenomenological theory of rotating turbulence, Phys. Fluids 27, 025107 (2015).
- A. Yoshizawa and K. Horiuti, A statistically-derived subgrid-scale kinetic energy model for the large-eddy simulation of turbulent flows, J. Phys. Soc. Jpn. 54, 2834 (1985).
- S. B. Pope, Ten questions concerning the large-eddy simulation of turbulent flows, New J. Phys. 6, 35 (2004).
- Y. Shirian and A. Mani, Eddy diffusivity operator in homogeneous isotropic turbulence, Phys. Rev. Fluids 7, L052601 (2022).