Robust optimization of dense gas flows under uncertain operating conditions

A robust optimization procedure based on a multi-objective genetic algorithm (MOGA) is used to generate airfoil profiles for transonic inviscid flows of dense gases, subject to uncertainties in the upstream thermodynamic conditions. The effect of the random variations on system response is evaluated...

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Vydané v:	Computers & fluids Ročník 39; číslo 10; s. 1893 - 1908
Hlavní autori:	Cinnella, P., Hercus, S.J.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Kidlington Elsevier Ltd 01.12.2010 Elsevier
Predmet:	Airfoils Applied sciences Chaos theory Collocation methods Computational methods in fluid dynamics Computer simulation Dense gas dynamics Energy Energy. Thermal use of fuels Engines and turbines Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc Exact sciences and technology Fluid dynamics Fundamental areas of phenomenology (including applications) Genetic algorithms Optimization Physics Polynomial chaos Rankine cycle Robust optimization Uncertainty quantification Waste heat Uncertainty quantification Polynomial chaos Robust optimization Dense gas dynamics Transonic flow Aerodynamics Stochastic method Modeling Organic Rankine cycle Optimization Genetic algorithm Non viscous fluid Dense gas Numerical simulation Organic Rankine engine Aerofoil Collocation method
ISSN:	0045-7930, 1879-0747
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