Abstract
To realize high Reynolds number turbulent flow in a numerical simulation, an artificial energy input is required. In this study, we propose a deterministic forcing method and a stochastic forcing method to maintain the mean turbulence kinetic energy (TKE) and helicity at ideal values. The proposed forcing methods control both the mean TKE and helicity by introducing two tuning parameters: and , where is the helicity injection rate and is the convergence of target statistical quantities to ideal values. We carried out 24 direct numerical simulations to investigate the effects of the forcing methods, including the tuning parameters, on turbulence. When we controlled the forcing term based on the proposed methods, the temporal correlation between the TKE and energy dissipation rate was artificially suppressed in the deterministic forcing method, and for higher in the stochastic forcing method. No differences were found between the proposed deterministic and stochastic forcing methods in terms of one- and two-point statistics. There are also some common characteristics between the energy and helicity dissipation rates, including the normalized mean energy and helicity dissipation rates, scale-by-scale budgets, and stretched exponential form of probability density functions. The numerical results support the joint cascade scenario of energy and helicity.
6 More- Received 17 August 2020
- Accepted 9 March 2021
DOI:https://doi.org/10.1103/PhysRevFluids.6.044608
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