Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method
Abstract
Advancements to the adaptive wavelet-collocation method over the last decade have opened up a number of new possible areas for active research. Volume penalization techniques allow complex immersed boundary conditions to be used with high efficiency for both internal and external flows. Anisotropic methods make it possible to use body-fitted meshes while still taking advantage of the dynamic adaptability properties wavelet-based methods provide. The parallelization of the approach has made it possible to perform large high-resolution simulations of detonation initiation and fluid instabilities to uncover new physical insights that would otherwise be difficult to discover. Other developments include space-time adaptive methods and nonreflecting boundary conditions. This article summarizes the work performed using the adaptive wavelet-collocation method developed by Vasilyev and coworkers over the past decade.
- Authors:
-
[1];
[1]
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Wellian Inc., Boulder, CO (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1830599
- Report Number(s):
- LA-UR-21-28667
Journal ID: ISSN 2311-5521
- Grant/Contract Number:
- 89233218CNA000001
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Fluids
- Additional Journal Information:
- Journal Volume: 6; Journal Issue: 11; Journal ID: ISSN 2311-5521
- Publisher:
- MDPI
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; wavelet-collocation; computational fluid dynamics; volume penalization; fluid instabilities; parallel algorithm; turbulence modeling; turbulence simulation; ocean modeling; detonation initiation; hot spot
Citation Formats
Mehta, Yash Ajit, Nejadmalayeri, Ari, and Regele, Jonathan David. Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method. United States: N. p., 2021.
Web. doi:10.3390/fluids6110377.
Mehta, Yash Ajit, Nejadmalayeri, Ari, & Regele, Jonathan David. Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method. United States. https://doi.org/10.3390/fluids6110377
Mehta, Yash Ajit, Nejadmalayeri, Ari, and Regele, Jonathan David. Fri .
"Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method". United States. https://doi.org/10.3390/fluids6110377. https://www.osti.gov/servlets/purl/1830599.
@article{osti_1830599,
title = {Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method},
author = {Mehta, Yash Ajit and Nejadmalayeri, Ari and Regele, Jonathan David},
abstractNote = {Advancements to the adaptive wavelet-collocation method over the last decade have opened up a number of new possible areas for active research. Volume penalization techniques allow complex immersed boundary conditions to be used with high efficiency for both internal and external flows. Anisotropic methods make it possible to use body-fitted meshes while still taking advantage of the dynamic adaptability properties wavelet-based methods provide. The parallelization of the approach has made it possible to perform large high-resolution simulations of detonation initiation and fluid instabilities to uncover new physical insights that would otherwise be difficult to discover. Other developments include space-time adaptive methods and nonreflecting boundary conditions. This article summarizes the work performed using the adaptive wavelet-collocation method developed by Vasilyev and coworkers over the past decade.},
doi = {10.3390/fluids6110377},
journal = {Fluids},
number = 11,
volume = 6,
place = {United States},
year = {2021},
month = {10}
}
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