Hypersonic Turbulent Flow Simulation of Fire II Reentry Vehicle Afterbody

D. Siva K. Reddy; Krishnendu Sinha

doi:10.2514/1.41380

Hypersonic Turbulent Flow Simulation of Fire II Reentry Vehicle Afterbody

Journal of Spacecraft and Rockets ◽

10.2514/1.41380 ◽

2009 ◽

Vol 46 (4) ◽

pp. 745-757 ◽

Cited By ~ 13

Author(s):

D. Siva K. Reddy ◽

Krishnendu Sinha

Keyword(s):

Turbulent Flow ◽

Flow Simulation ◽

Reentry Vehicle

A new approach for the calculation of the cut-off resolution parameter in bridging methods for turbulent flow simulation

International Journal of Heat and Fluid Flow ◽

10.1016/j.ijheatfluidflow.2018.09.011 ◽

2018 ◽

Vol 74 ◽

pp. 76-88 ◽

Cited By ~ 6

Author(s):

Branislav Basara ◽

Zoran Pavlovic ◽

Sharath Girimaji

Keyword(s):

Turbulent Flow ◽

Flow Simulation ◽

New Approach ◽

Resolution Parameter

Turbulent Flow Simulation: Future Needs

Progress and Supercomputing in Computational Fluid Dynamics ◽

10.1007/978-1-4612-5162-0_14 ◽

1985 ◽

pp. 287-304

Author(s):

Joel H. Ferziger

Keyword(s):

Turbulent Flow ◽

Flow Simulation ◽

Future Needs

Source Term-Based Turbulent Flow Simulation on GPU with Link-Wise Artificial Compressibility Method

International Journal of Computational Fluid Dynamics ◽

10.1080/10618562.2021.1980212 ◽

2021 ◽

pp. 1-13

Author(s):

Sijiang Fan ◽

Marta Camps Santasmasas ◽

Xiao-Wei Guo ◽

Canqun Yang ◽

Alistair Revell

Keyword(s):

Turbulent Flow ◽

Source Term ◽

Flow Simulation ◽

Artificial Compressibility ◽

Artificial Compressibility Method

Shallow Turbulent Flow Simulation Using Two-Length-Scale Model

Journal of Engineering Mechanics ◽

10.1061/(asce)0733-9399(1999)125:7(780) ◽

1999 ◽

Vol 125 (7) ◽

pp. 780-788 ◽

Cited By ~ 8

Author(s):

Wihel Altai ◽

Jian-bo Zhang ◽

Vincent H. Chu

Keyword(s):

Turbulent Flow ◽

Flow Simulation ◽

Scale Model ◽

Length Scale

Compressible Brake Fluid Turbulent Flow Simulation and Experimental Verification on Brake Bleeding Performance Improvements of an EPB Caliper

10.4271/2018-01-1876 ◽

2018 ◽

Cited By ~ 1

Author(s):

Jang-Oh Mo

Keyword(s):

Turbulent Flow ◽

Experimental Verification ◽

Flow Simulation ◽

Brake Fluid ◽

Performance Improvements

Turbulent flow simulation of liquid jet emanating from pressure-swirl atomizer

Heat and Mass Transfer ◽

10.1007/s00231-007-0237-8 ◽

2007 ◽

Vol 44 (3) ◽

pp. 275-280 ◽

Cited By ~ 9

Author(s):

Chun-Lang Yeh

Keyword(s):

Turbulent Flow ◽

Flow Simulation ◽

Liquid Jet ◽

Swirl Atomizer ◽

Pressure Swirl ◽

Pressure Swirl Atomizer

A large-eddy-based lattice Boltzmann model for turbulent flow simulation

Applied Mathematics and Computation ◽

10.1016/j.amc.2009.05.040 ◽

2009 ◽

Vol 215 (2) ◽

pp. 591-598 ◽

Cited By ~ 33

Author(s):

Sheng Chen

Keyword(s):

Turbulent Flow ◽

Lattice Boltzmann ◽

Flow Simulation ◽

Lattice Boltzmann Model ◽

Large Eddy ◽

Boltzmann Model

Turbulent Flow Simulation of the NREL S809 Airfoil

Wind Engineering ◽

10.1260/030952406779295471 ◽

2006 ◽

Vol 30 (4) ◽

pp. 287-301 ◽

Cited By ~ 12

Author(s):

Ouahiba Guerri ◽

Khadidja Bouhadef ◽

Ameziane Harhad

Keyword(s):

Turbulent Flow ◽

Flow Simulation

An Irregularly Portioned Lagrangian Monte Carlo Method for Turbulent Flow Simulation

Journal of Scientific Computing ◽

10.1007/s10915-010-9424-8 ◽

2010 ◽

Vol 47 (1) ◽

pp. 109-125 ◽

Cited By ~ 17

Author(s):

S. L. Yılmaz ◽

M. B. Nik ◽

M. R. H. Sheikhi ◽

P. A. Strakey ◽

P. Givi

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Turbulent Flow ◽

Flow Simulation

Dynamical Simulation and Statistical Analysis of Velocity Fluctuations of a Turbulent Flow behind a Cube

Mathematical Problems in Engineering ◽

10.1155/2007/24627 ◽

2007 ◽

Vol 2007 ◽

pp. 1-28 ◽

Cited By ~ 2

Author(s):

T. F. Oliveira ◽

R. B. Miserda ◽

F. R. Cunha

Keyword(s):

Turbulent Flow ◽

Numerical Simulations ◽

Compressible Flows ◽

Statistical Approach ◽

Power Spectra ◽

Flow Simulation ◽

Scaling Analysis ◽

Velocity Fluctuations ◽

Ergodic Hypothesis ◽

Time Average

A statistical approach for the treatment of turbulence data generated by computer simulations is presented. A model for compressible flows at large Reynolds numbers and low Mach numbers is used for simulating a backward-facing step airflow. A scaling analysis has justified the commonly used assumption that the internal energy transport due to turbulent velocity fluctuations and the work done by the pressure field are the only relevant mechanisms needed to model subgrid-scale flows. From the numerical simulations, the temporal series of velocities are collected for ten different positions in the flow domain, and are statistically treated. The statistical approach is based on probability averages of the flow quantities evaluated over several realizations of the simulated flow. We look at how long of a time average is necessary to obtain well-converged statistical results. For this end, we evaluate the mean-square difference between the time average and an ensemble average as the measure of convergence. This is an interesting question since the validity of the ergodic hypothesis is implicitly assumed in every turbulent flow simulation and its analysis. The ergodicity deviations from the numerical simulations are compared with theoretical predictions given by scaling arguments. A very good agreement is observed. Results for velocity fluctuations, normalized autocorrelation functions, power spectra, probability density distributions, as well as skewness and flatness coefficients are also presented.