Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method

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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yash Mehta, Ari Nejadmalayeri, Jonathan David Regele
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	wavelet-collocation computational fluid dynamics volume penalization fluid instabilities parallel algorithm turbulence modeling Thermodynamics QC310.15-319 Descriptive and experimental mechanics QC120-168.85
Acceso en línea:	https://doaj.org/article/49d716d84d70422b82056f51ca6e57c5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:49d716d84d70422b82056f51ca6e57c5
record_format	dspace
spelling	oai:doaj.org-article:49d716d84d70422b82056f51ca6e57c52021-11-25T17:31:25ZComputational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method10.3390/fluids61103772311-5521https://doaj.org/article/49d716d84d70422b82056f51ca6e57c52021-10-01T00:00:00Zhttps://www.mdpi.com/2311-5521/6/11/377https://doaj.org/toc/2311-5521Advancements 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.Yash MehtaAri NejadmalayeriJonathan David RegeleMDPI AGarticlewavelet-collocationcomputational fluid dynamicsvolume penalizationfluid instabilitiesparallel algorithmturbulence modelingThermodynamicsQC310.15-319Descriptive and experimental mechanicsQC120-168.85ENFluids, Vol 6, Iss 377, p 377 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wavelet-collocation computational fluid dynamics volume penalization fluid instabilities parallel algorithm turbulence modeling Thermodynamics QC310.15-319 Descriptive and experimental mechanics QC120-168.85
spellingShingle	wavelet-collocation computational fluid dynamics volume penalization fluid instabilities parallel algorithm turbulence modeling Thermodynamics QC310.15-319 Descriptive and experimental mechanics QC120-168.85 Yash Mehta Ari Nejadmalayeri Jonathan David Regele Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method
description	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.
format	article
author	Yash Mehta Ari Nejadmalayeri Jonathan David Regele
author_facet	Yash Mehta Ari Nejadmalayeri Jonathan David Regele
author_sort	Yash Mehta
title	Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method
title_short	Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method
title_full	Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method
title_fullStr	Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method
title_full_unstemmed	Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method
title_sort	computational fluid dynamics using the adaptive wavelet-collocation method
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/49d716d84d70422b82056f51ca6e57c5
work_keys_str_mv	AT yashmehta computationalfluiddynamicsusingtheadaptivewaveletcollocationmethod AT arinejadmalayeri computationalfluiddynamicsusingtheadaptivewaveletcollocationmethod AT jonathandavidregele computationalfluiddynamicsusingtheadaptivewaveletcollocationmethod
_version_	1718412219898658816

Computational Fluid Dynamics Using the Adaptive Wavelet-Collocation Method

Ejemplares similares