Quantifying Numerical Uncertainty in Background-Oriented Schlieren

Our study presents and evaluates a method for computing the numerical uncertainty in Background Oriented Schlieren (BOS). We use Richardson extrapolation to assess the uncertainty of numerical integration of density gradients, based on residuals of density results across two grid levels. By integrat...

Descripción completa

Detalles Bibliográficos
Autores principales: Anand, Pranjal, Zhang, Jiacheng, Rajendran, Lalit K., Bane, Sally P. M., Vlachos, Pavlos P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543532/
https://www.ncbi.nlm.nih.gov/pubmed/37790496
http://dx.doi.org/10.21203/rs.3.rs-3349946/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543532/
https://www.ncbi.nlm.nih.gov/pubmed/37790496
http://dx.doi.org/10.21203/rs.3.rs-3349946/v1

Ejemplares similares