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  • A perspective on machine learning in turbulent flows
    J. Turbul. (IF 2.038) Pub Date : 2020-04-24
    Sandeep Pandey; Jörg Schumacher; Katepalli R. Sreenivasan

    The physical complexity and the large number of degrees of freedom that can be resolved today by direct numerical simulations of turbulent flows, and by the most sophisticated experimental techniques, require new strategies to reduce and analyse the data so generated, and to model the turbulent behaviour. We discuss a few concrete examples for which the turbulence data have been analysed by machine

    更新日期:2020-04-24
  • Length scales in turbulent free shear flows
    J. Turbul. (IF 2.038) Pub Date : 2020-04-15
    G. Cafiero; M. Obligado; J.C. Vassilicos

    We address the important point of the proportionality between the longitudinal integral lengthscale (L) and the characteristic mean flow width (δ) using experimental data of an axisymmetric wake and a turbulent planar jet. This is a fundamental hypothesis when deriving the self-similar scaling laws in free shear flow. We show that L/δ is indeed constant, at least in a range of streamwise distances

    更新日期:2020-04-21
  • Staircase scaling of short-time energy transfer in turbulence
    J. Turbul. (IF 2.038) Pub Date : 2020-04-21
    L. Fang; T. Wu; Wouter J.T. Bos

    It is illustrated that a sharply truncated initial kinetic energy spectrum evolves to a staircase-shaped spectrum at short times. This effect is directly associated with the triadic nature of the energy transfer. A rigorous analysis leads to predictions on the time-dependence of this effect, and these predictions are verified by both direct numerical simulations and eddy-damped quasi-normal Markovian

    更新日期:2020-04-21
  • Three-dimensional inert and reactive shock-interface interactions: statistical flow characterisations
    J. Turbul. (IF 2.038) Pub Date : 2020-04-21
    Dandan Wang; Gang Dong

    Three-dimensional inert and reactive shock-interface interactions are simulated by solving NS equation with ninth-order WENO scheme. An initial planar shock wave with Mach number 1.7 accelerates a single mode and finite thickness interface with initial wavelength 4 mm and amplitude 0.4 mm from the reactant composed of C2H4+3O2+4N2. Then the transmitting shock branch is reflected at the end boundary

    更新日期:2020-04-21
  • Direct numerical simulations of forced homogeneous isotropic turbulence in a dense gas
    J. Turbul. (IF 2.038) Pub Date : 2020-03-19
    A. Giauque; C. Corre; A. Vadrot

    Direct Numerical Simulations (DNS) of forced homogeneous isotropic turbulence in a dense gas (FC-70), accurately described by a complex EoS, are computed for a turbulent Mach number of 0.8. In a numerical experiment, results are compared to the ones obtained when considering the fluid as a perfect gas. It is found that the dense gas displays a deeply modified shocklets' structure. The amplitude of

    更新日期:2020-04-20
  • Effect of hemispherical turbulators in a double-pipe heat exchanger for heat transfer augmentation
    J. Turbul. (IF 2.038) Pub Date : 2020-03-19
    Shiva Kumar; P. Dinesha; Akshith Narayanan; Rahul Nanda

    In a double-pipe heat exchanger, heat transfer enhancement can be carried out by active or passive methods. In the present study, heat transfer characteristics are studied by the addition of hemispherical turbulators placed in the annulus region in a double-pipe heat exchanger. The turbulators are placed in the annulus region on the inner pipe separated at 90° to each other around the circumference

    更新日期:2020-04-20
  • Experimental investigation of turbulent boundary layers at high Reynolds number with uniform blowing, part I: statistics
    J. Turbul. (IF 2.038) Pub Date : 2020-03-17
    G. Hasanuzzaman; S. Merbold; C. Cuvier; V. Motuz; J.-M. Foucaut; Ch. Egbers

    Uniform blowing in wall bounded shear flows is well known for its drag reducing effects and has long been investigated ever since. However, many contemporary and former research on this topic has confirmed the drag reducing effect but very less is known regarding how blowing is effecting the Reynolds stresses at high Reynolds number. Therefore, effect of uniform blowing has been experimentally investigated

    更新日期:2020-04-20
  • Monte Carlo science
    J. Turbul. (IF 2.038) Pub Date : 2020-03-19
    Javier Jiménez

    This paper explores how far the scientific discovery process can be automated. Using the identification of causally significant flow structures in two-dimensional turbulence as an example, it probes how far the usual procedure of planning experiments to test hypotheses can be substituted by ‘blind’ randomised experiments and notes that the increased efficiency of computers is beginning to make such

    更新日期:2020-03-19
  • Neural network models for the anisotropic Reynolds stress tensor in turbulent channel flow
    J. Turbul. (IF 2.038) Pub Date : 2019-12-24
    Rui Fang; David Sondak; Pavlos Protopapas; Sauro Succi

    Reynolds-averaged Navier-Stokes (RANS) equations are presently one of the most popular models for simulating turbulence. Performing RANS simulation requires additional modelling for the anisotropic Reynolds stress tensor, but traditional Reynolds stress closure models lead to only partially reliable predictions. Recently, data-driven turbulence models for the Reynolds anisotropy tensor involving novel

    更新日期:2019-12-24
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