Abstract
The standard approach for simulating hypersonic dust erosion problems using mixed Eulerian-Lagrangian two-phase solvers is too computationally expensive for routine simulations, and particularly for uncertainty quantification (UQ) analyses. To enable these analyses, a new approach for solving this problem with a sparse set of particles is presented and demonstrated on a problem from literature involving the ExoMars Schiaparelli entry vehicle. This new approach, referred to here as the Trajectory Control Volume (TCV) method is verified against traditional approaches based on Monte Carlo, and is shown to require over 3 orders-of-magnitude less samples to obtain the same results. An example UQ and global nonlinear sensitivity analysis is performed with the new TCV approach. This analysis, which is not feasible with previous approaches, demonstrate the computational efficiency of the approach for UQ problems, as well as provides some insight into the driving factors behind dust erosion. UQ and sensitivity results indicate that accurate characterization of material composition and size distribution for dust environments is key to reducing uncertainty in predicted surface recession due to dust impingement.
Recommended Citation
A. Hinkle et al., "Efficient Solution of Surface Erosion in Particle-laden Hypersonic Flows," Accelerating Space Commerce, Exploration, and New Discovery conference, ASCEND 2021, article no. AIAA 2021-4229, American Institute of Aeronautics and Astronautics, Jan 2021.
The definitive version is available at https://doi.org/10.2514/6.2021-4229
Department(s)
Mechanical and Aerospace Engineering
Publication Status
Full Access
International Standard Book Number (ISBN)
978-162410612-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Institute of Aeronautics and Astronautics, All rights reserved.
Publication Date
01 Jan 2021
Comments
National Science Foundation, Grant 80NSSC19K1150