These two data sets are Ma_{e}≈0.9 and 1.15 homogenized
boundary layers with Re_{θ}≈382 and 531,
respectively. Edge-to-wall temperature ratios, T_{e}
/ T_{w}, are close to 4.15 and wall blowing velocities,
v_{w}^{+} = v_{w} / u_{τ},
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`.

- Simulation t3.199
- HDF5 (1.0 GB, MD5 805ac7be682012c0dd94c9159b5b671c)
- Fourier spectra
- Two-point correlations
- Simulation t4.134
- HDF5 (1.1 GB, MD5 7f45cad67daeb545189ac5ea3f6a4e27)
- Fourier spectra
- Two-point correlations