The 2016 paper of Jiang and Layton introduced a 'corrected' eddy-viscosity model for turbulence not at statistical equilibrium that appends a backscatter term , nonlinear (anisotropic) in the time derivative because the coefficient depends on , to a Smagorinsky-type Large Eddy Simulation model. All of their analysis (a priori bounds, time-averaged dissipativity, long-term energy balance, and time-discretization error analysis) assumes the solution is strong, and the paper states that the existence of weak solutions to the new model is an open theoretical problem. Prior weak-existence results for related backscatter models (rotational Baldwin–Lomax, generalized Kelvin–Voigt, and backscatter Baldwin–Lomax variants) cover only terms that are linear in with solution-independent coefficients, and at least one successor paper explicitly replaces the anisotropic term rather than analyzing it. The open problem is whether the original corrected model with the anisotropic time-derivative term admits weak solutions satisfying the natural energy inequality.
Background
Large eddy simulation (LES) is a turbulence-modeling approach in which only the large, energy-carrying eddies of a flow are computed, while the effect of the unresolved subfilter scales is represented by a closure model. The classical closure adds an eddy viscosity to the molecular viscosity in the Navier–Stokes equations, the archetype being the Smagorinsky model with , where is a dimensionless constant, the filter width, and the resolved velocity. Eddy-viscosity closures are strictly dissipative: they remove kinetic energy from the resolved scales at every point and time. In turbulence not at statistical equilibrium, however, energy locally flows from unresolved to resolved scales (backscatter), so such models systematically over-dissipate. Jiang and Layton (2016) derived a corrected eddy-viscosity model by modeling the fluctuation energy budget; the correction appears as an additional term in the time derivative, giving (for the Smagorinsky case)
with , a nondimensional order-one correction parameter , and body force . The paper calls an anisotropic time-derivative term: unlike a Kelvin–Voigt term (a linear viscoelastic damping with constant coefficient), its coefficient moves with the solution through , so it is quasilinear in the time derivative. Their Theorem 3.2 proves a priori bounds, time-averaged dissipativity, and a long-term energy balance, assuming throughout that is a strong (smooth enough) solution. The natural energy for the model is the non-quadratic functional , and a key estimate (their Lemma 3.1) bounds by , already suggesting the unusual function-space structure (control of cubic strain-rate integrals) any weak theory must handle. The paper explicitly states that the existence of weak solutions to the new corrected model, with the anisotropic time-derivative term, is an open theoretical problem. This matters because every analytical result in the follow-up literature (energy stability, time-discretization error estimates, variable time-step analyses) is conditional on strong solutions, so the model class currently lacks a rigorous well-posedness foundation of the kind the Leray–Hopf theory gives for the Navier–Stokes equations (a Leray–Hopf solution is a weak solution satisfying the global energy inequality).
Problem Statement
Prove or refute the existence of weak solutions to the Jiang–Layton corrected eddy-viscosity model in the Smagorinsky case: find a velocity field and pressure satisfying
on a bounded domain with given initial velocity and the no-slip boundary condition on (the setting of Theorem 3.2 of the source; in the source, and ), where , is a fixed positive parameter, and is a given body force, such that the solution is weak in the Leray–Hopf sense and satisfies the natural energy inequality associated with the non-quadratic energy for almost every (including ), with the natural energy finite; that is, the initial data satisfy in addition to , and the solution satisfies , the finiteness conclusion (3.2) proved in Theorem 3.2 of the source for strong solutions. The model equations, coefficient conventions, and energy functional are pinned exactly as in Jiang and Layton (2016); answers that change the model (for example, replacing the anisotropic term by a linear Kelvin–Voigt or rotational term with solution-independent coefficient) address a different problem and do not resolve this one.
References
- Nan Jiang and William Layton, 'Algorithms and models for turbulence not at statistical equilibrium', Computers & Mathematics with Applications 71(11):2352–2372 (2016). DOI: 10.1016/j.camwa.2015.10.004; arXiv:1503.01439; https://doi.org/10.1016/j.camwa.2015.10.004
- Yao Rong, William Layton, and Haiyun Zhao, 'Extension of a simplified Baldwin–Lomax model to nonequilibrium turbulence: Model, analysis and algorithms', Numerical Methods for Partial Differential Equations 35(5):1821–1846 (2019). DOI: 10.1002/num.22380; https://doi.org/10.1002/num.22380
- Luigi C. Berselli, Roger Lewandowski, and Dinh Duong Nguyen, 'Rotational Forms of Large Eddy Simulation Turbulence Models: Modeling and Mathematical Theory', Chinese Annals of Mathematics, Series B 42(1):17–40 (2021). DOI: 10.1007/s11401-021-0243-z; https://doi.org/10.1007/s11401-021-0243-z
- Cherif Amrouche, Luigi C. Berselli, Roger Lewandowski, and Dinh Duong Nguyen, 'Turbulent flows as generalized Kelvin–Voigt materials: Modeling and analysis', Nonlinear Analysis 196:111790 (2020). DOI: 10.1016/j.na.2020.111790; https://doi.org/10.1016/j.na.2020.111790
- Farjana Siddiqua and Xihui Xie, 'Numerical analysis of a corrected Smagorinsky model', Numerical Methods for Partial Differential Equations 39(1):356–382 (2023; online 2022). DOI: 10.1002/num.22895; arXiv:2201.08914; https://doi.org/10.1002/num.22895
- Ali Pakzad and Farjana Siddiqua, 'Statistics in a Backscatter Eddy Viscosity Turbulence Model', Numerical Methods for Partial Differential Equations 41(5):e70026 (2025). DOI: 10.1002/num.70026; arXiv:2412.19476; https://doi.org/10.1002/num.70026
- Farjana Siddiqua and Wenlong Pei, 'Variable Time Step Method of DAHLQUIST, LINIGER and NEVANLINNA (DLN) for a Corrected Smagorinsky Model', arXiv:2309.01867 (2023); https://arxiv.org/abs/2309.01867
- Yuanshuang Zhang and Pengzhan Huang, 'A turbulence model: Model, analysis, and algorithm', Physics of Fluids 36(4):045140 (2024). DOI: 10.1063/5.0203934; https://doi.org/10.1063/5.0203934
- Nan Jiang, William Layton, Michael McLaughlin, Yao Rong, and Haiyun Zhao, 'On the Foundations of Eddy Viscosity Models of Turbulence', Fluids 5(4):167 (2020). DOI: 10.3390/fluids5040167; https://doi.org/10.3390/fluids5040167