These two data sets are Mae≈0.9 and 1.15 homogenized boundary layers with Reθ≈382 and 531, respectively. Edge-to-wall temperature ratios, Te / Tw, are close to 4.15 and wall blowing velocities, vw+ = vw / uτ, are about 8×10-3. The favorable pressure gradients have Pohlhausen parameters between 25 and 42. These conditions represent an ideal gas approximation to a blend of fully turbulent and fully laminar conditions on the NASA Orion Multi-Purpose Crew Vehicle ablative thermal protection system during peak heating from an International Space Station return trajectory.
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. Section 3.3 documents the "slow growth" spatiotemporal homogenization employed. Refer to Chapter 6 for a discussion of the simulations, which were performed using Suzerain. 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. Spectra are not normalized but are comparable with Figure 1 from 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.
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.