STREAmS-2.0: Supersonic turbulent accelerated Navier-Stokes solver version 2.0

Bernardini, Matteo; Modesti, Davide; Salvadore, Francesco; Sathyanarayana, Srikanth; Posta, Giacomo Della; Pirozzoli, Sergio

doi:10.1016/j.cpc.2022.108644

Cited by 21 publications

(10 citation statements)

References 2 publications

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“…The DNS database considered in this work has been generated using STREAmS 2.0 (https://github.com/STREAmS-CFD/STREAmS-2) (Bernardini et al 2021(Bernardini et al , 2023bSathyanarayana et al 2023). The open-source finite-difference compressible flow solver, STREAmS, developed by our group, is designed to solve the compressible Navier-Stokes equations for a perfect, heat conducting gas.…”

Section: Methodology and Numerical Set-upmentioning

confidence: 99%

“…The open-source finite-difference compressible flow solver, STREAmS, developed by our group, is designed to solve the compressible Navier-Stokes equations for a perfect, heat conducting gas. The solver targets canonical wall-bounded turbulent high-speed flows, and is oriented to modern HPC platforms with the capability to run on both NVIDIA (Bernardini et al 2021(Bernardini et al , 2023b and AMD (Sathyanarayana et al 2023) GPUs.…”

Section: Methodology and Numerical Set-upmentioning

confidence: 99%

“…The DNS database considered in this work has been generated using STREAmS 2.0 () (Bernardini et al. 2021, 2023 b ; Sathyanarayana et al. 2023).…”

Section: Methodology and Numerical Set-upmentioning

confidence: 99%

“…The solver targets canonical wall-bounded turbulent high-speed flows, and is oriented to modern HPC platforms with the capability to run on both NVIDIA (Bernardini et al. 2021, 2023 b ) and AMD (Sathyanarayana et al. 2023) GPUs.…”

Section: Methodology and Numerical Set-upmentioning

confidence: 99%

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Direct numerical simulation of supersonic boundary layers over a microramp: effect of the Reynolds number

Della Posta,

Blandino,

Modesti

et al. 2023

J. Fluid Mech.

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Microvortex generators are passive control devices smaller than the boundary layer thickness that energise the boundary layer to prevent flow separation with limited induced drag. In this work, we use direct numerical simulations (DNS) to investigate the effect of the Reynolds number in a supersonic turbulent boundary layer over a microramp vortex generator. Three friction Reynolds numbers are considered, up to $Re_\tau = 2000$ , for fixed free stream Mach number $M_\infty =2$ and fixed relative height of the ramp with respect to the boundary layer thickness. The high-fidelity data set sheds light on the instantaneous and highly three-dimensional organisation of both the wake and the shock waves induced by the microramp. The full access to the flow field provided by DNS allows us to develop a qualitative model of the near wake, explaining the internal convolution of the Kelvin–Helmholtz vortices around the low-momentum region behind the ramp. The overall analysis shows that numerical results agree excellently with recent experimental measurements in similar operating conditions and confirms that microramps effectively induce a significantly fuller boundary layer even far downstream of the ramp. Moreover, results highlight significant Reynolds number effects, which in general do not scale with the ramp height. Increasing Reynolds number leads to enhanced coherence of the typical vortical structures in the field, faster and stronger development of the momentum deficit region, increased upwash between the primary vortices from the sides of the ramp – and thus increased lift-up of the wake – and faster transfer of momentum towards the wall.

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Section: Methodology and Numerical Set-upmentioning

confidence: 99%

Section: Methodology and Numerical Set-upmentioning

confidence: 99%

“…The DNS database considered in this work has been generated using STREAmS 2.0 () (Bernardini et al. 2021, 2023 b ; Sathyanarayana et al. 2023).…”

Section: Methodology and Numerical Set-upmentioning

confidence: 99%

Section: Methodology and Numerical Set-upmentioning

confidence: 99%

See 2 more Smart Citations

Direct numerical simulation of supersonic boundary layers over a microramp: effect of the Reynolds number

Della Posta,

Blandino,

Modesti

et al. 2023

J. Fluid Mech.

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show abstract

“…Moreover, gas dissociation effects are also not expected in the present database, according to the observations of Passiatore et al (2022) who observed negligible effects with T w = 1800 K (our highest imposed value is T w = 1640 K for M ∞ = 6). The system of equations is solved on a Cartesian grid using the in-house code STREAmS (Bernardini et al 2021(Bernardini et al , 2023, which has been validated extensively in numerous canonical configurations (Bernardini, Pirozzoli & Grasso 2011;Bernardini & Pirozzoli 2011b;Cogo et al 2022).…”

Section: Simulation Parameters and Computational Set-upmentioning

confidence: 99%

Assessment of heat transfer and Mach number effects on high-speed turbulent boundary layers

Cogo,

Baù,

Chinappi

et al. 2023

J. Fluid Mech.

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High-speed vehicles experience a highly challenging environment in which the freestream Mach number and surface temperature greatly influence aerodynamic drag and heat transfer. The interplay of these two parameters strongly affects the near-wall dynamics of high-speed turbulent boundary layers (TBLs) in a non-trivial way, breaking similarity arguments on velocity and temperature fields, typically derived for adiabatic cases. We present direct numerical simulations of flat-plate zero-pressure-gradient TBLs spanning three freestream Mach numbers $[2,4,6]$ and four wall temperature conditions (from adiabatic to very cold walls), emphasising the choice of the wall-cooling parameter to recover a similar flow organisation at different Mach numbers. We link qualitative observations on flow patterns to first- and second-order statistics to explain the decoupling of temperature–velocity fluctuations that occurs at reduced wall temperatures and high Mach numbers. For these cases, we discuss the formation of a secondary peak of thermal production in the viscous sublayer, which is in contrast with the monotonic behaviour of adiabatic profiles. We propose different physical mechanisms induced by wall-cooling and compressibility that result in apparently similar flow features, such as a higher peak in the streamwise velocity turbulence intensity, and distinct features, such as the separation of turbulent scales.

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OpenMP offload toward the exascale using Intel® GPU Max 1550: evaluation of STREAmS compressible solver

Salvadore,

Rossi,

Sathyanarayana

et al. 2024

J Supercomput

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STREAmS-2.0: Supersonic turbulent accelerated Navier-Stokes solver version 2.0

Cited by 21 publications

References 2 publications

Direct numerical simulation of supersonic boundary layers over a microramp: effect of the Reynolds number

Direct numerical simulation of supersonic boundary layers over a microramp: effect of the Reynolds number

Assessment of heat transfer and Mach number effects on high-speed turbulent boundary layers

OpenMP offload toward the exascale using Intel® GPU Max 1550: evaluation of STREAmS compressible solver

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