Optimization of Information Gain in Multifidelity High-Speed Pressure Predictions

Autor:	Benjamin P. Smarslok, William Sisson, Sankaran Mahadevan
Rok vydání:	2021
Předmět:	Piston theory Surrogate model Computer science business.industry Bayesian probability Multiplicative function Aerospace Engineering Applied mathematics Computational fluid dynamics Information gain business Reynolds-averaged Navier–Stokes equations Pressure sensor
Zdroj:	AIAA Journal. :1-10
ISSN:	1533-385X 0001-1452
DOI:	10.2514/1.j059507
Popis:	The objective of multifidelity modeling is to achieve both accurate and efficient predictions by combining high- and low-fidelity models. A flexible approach considering additive, multiplicative, a...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::254a8d4e428b613cf991a2e2ca8856d5 https://doi.org/10.2514/1.j059507 Zobrazit plný text záznamu