These datasets are a variety of compressible turbulent channels performed in the spirit of Coleman, G. N., Kim, J., Moser, R. D., "A numerical study of turbulent supersonic isothermal-wall channel flow." Journal of Fluid Mechanics 305 (Dec. 1995), 159-183. DOI: 10.1017/s0022112095004587.
This page is a supplement to the 2014 dissertation Reducing Turbulence- and Transition-Driven Uncertainty in Aerothermodynamic Heating Predictions for Blunt-Bodied Reentry Vehicles by Rhys Ulerich. Refer to Sections 3.1 and 3.2 of that document for the form and nondimensionalization of the governing compressible Navier--Stokes equations. Refer to Section 5.3 for background on the simulations, in particular some known limitations of the data. Please consider citing the thesis if you find this data useful towards publishing research.
Final ensemble averages as well as each in situ sample are provided in a compressed HDF5 archive. For example, dataset /bar_T contains instantaneous planar-averaged temperature profiles while the mu HDF5 attribute of /bar_T contains the ensemble profile. Temporal traces of the L2 and root-mean-square of conserved state are available in associated log files. The end of the log also contains performance information for the code Suzerain which produced this data. Spectra are not normalized but are comparable with Figure 1 from Coleman et al. The scenarios are labeled according to the code units used— please refer to the quantities of interest below for centerline Mach numbers and friction Reynolds numbers.
Uncertainties were computed using the reference implementation of the autoregressive technique described within "Estimating uncertainties in statistics computed from direct numerical simulation", by Todd A. Oliver, Nicholas Malaya, Rhys Ulerich and Robert D. Moser, Phys. Fluids 26, 035101 (2014), DOI: 10.1063/1.4866813. Standard errors are stored as attributes on each Reynolds-averaged dataset. For example, attribute mu_sigma of dataset /bar_T is the pointwise standard error associated with the ensemble average in attribute mu.
Quantities of interest taken from ensembles over at least 11 flow throughs follow. The code units employed are per the scenario name. For example, the coleman3k01 case used code_Re = 3000 and code_Ma = 0.1 with the latter involved in computing the centerline Mach number Ma_c from velocity u_c and sound speed a_c. Scenarios marked with a star (*) used somewhat coarse near-wall resolution as compared against Coleman et al. though their streamwise and spanwise directions were better resolved. Beware values report far too much precision given sampling uncertainty.