The risk assessment process performs an important role in maintenance decision making,
through structuring the process of identifying, prioritizing, and thereafter formulating effective …

In the field of uncertainty quantification, sparse polynomial chaos (PC) expansions are
commonly used by researchers for a variety of purposes, such as surrogate modeling. Ideas …

The goal of this work is to quantify the uncertainty and sensitivity of commonly used
turbulence models in Reynolds-averaged Navier–Stokes codes due to uncertainty in the …

The analysis, design, and development of planetary entry technologies rely heavily on
computational modeling due to limited ground and flight test data, which simulate the …

A model for simulating postshock conditions using only state-resolved kinetic data of ab
initio accuracy is presented. The quasi-classical trajectory method is used to compute a …

A quantified parametric study for the heat transfer acting on a hypersonic blunt body with
counterflowing jets is presented. Three-dimensional turbulent Navier-Stokes equations are …

With the development of three-dimensional inward-turning inlets, the V-shaped blunt leading
edge model has attracted increasing attention. In the current study, an approach of using …

High-speed aerospace engineering applications rely heavily on computational fluid
dynamics (CFD) models for design and analysis. This reliance on CFD models necessitates …

Due to the lacking of knowledge and incomplete information about the closure coefficients in
Menter Shear Stress Transport (SST) turbulence model, numerical predictions of hypersonic …

The objective of this work was to perform sensitivity analysis and uncertainty quantification
for afterbody radiative heating predictions of the Stardust capsule during Earth entry at peak …