TY - GEN
T1 - Azure
T2 - 53rd AIAA Aerospace Sciences Meeting, 2015
AU - Antoniadis, Antonios F.
AU - Tsoutsanis, Panagiotis
AU - Rana, Zeeshan A.
AU - Kokkinakis, Ioannis
AU - Drikakis, Dimitris
PY - 2015/1/1
Y1 - 2015/1/1
N2 - This paper presents a computational fluid dynamics (CFD) software, which comprises a range of computational algorithms in the framework of high-resolution and high-order (nonoscillatory-based) methods. The CFD software suite, called Azure, includes the following methods: different Riemann solvers; numerical discretisation schemes ranging from 2nd order to 9th-order of accuracy; multi-block structured-grid, as well as fully unstructured and hybrid grid-based capabilities for handling any arbitrary geometry; Reynolds-Averaged Navier-Stokes (RANS), Implicit Large Eddy Simulation (ILES) and hybrid ILES/RANS; and multi-physics models. Azure provides a computational platform for studying fundamental flow physics, simulating engineering flows around or inside complex geometries, as well as assessing the accuracy and computational efficiency of different numerical schemes and physics-based models, thus reducing the computational uncertainty and computational time. The paper presents the key numerical modeling features and validation examples ranging from simple canonical flows to aircraft configurations.
AB - This paper presents a computational fluid dynamics (CFD) software, which comprises a range of computational algorithms in the framework of high-resolution and high-order (nonoscillatory-based) methods. The CFD software suite, called Azure, includes the following methods: different Riemann solvers; numerical discretisation schemes ranging from 2nd order to 9th-order of accuracy; multi-block structured-grid, as well as fully unstructured and hybrid grid-based capabilities for handling any arbitrary geometry; Reynolds-Averaged Navier-Stokes (RANS), Implicit Large Eddy Simulation (ILES) and hybrid ILES/RANS; and multi-physics models. Azure provides a computational platform for studying fundamental flow physics, simulating engineering flows around or inside complex geometries, as well as assessing the accuracy and computational efficiency of different numerical schemes and physics-based models, thus reducing the computational uncertainty and computational time. The paper presents the key numerical modeling features and validation examples ranging from simple canonical flows to aircraft configurations.
UR - http://www.scopus.com/inward/record.url?scp=84982995091&partnerID=8YFLogxK
U2 - 10.2514/6.2015-0813
DO - 10.2514/6.2015-0813
M3 - Conference contribution
AN - SCOPUS:84982995091
SN - 9781624103438
T3 - 53rd AIAA Aerospace Sciences Meeting
BT - 53rd AIAA Aerospace Sciences Meeting
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
Y2 - 5 January 2015 through 9 January 2015
ER -