Parametric reduced-order models for probabilistic analysis of unsteady aerodynamic applications

AIAA Journal

Volumn 46, Issue 10, 2008, Pages 2520-2529

  Bui Thanh, T ^a,c   Willcox, K ^a,c   Ghattas, O ^b,d  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c Department of Aeronautics and Astronautics ^*

^d Institute for Computational Engineering and Sciences

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SAMPLING METHODS; APPLICATIONS.; COMPUTATIONAL COSTS; COMPUTATIONAL FLUID DYNAMICS MODELS; EFFICIENT; EXPLICIT AFFINE FUNCTIONS; FLOW DYNAMICS; GEOMETRY VARIATIONS; INPUT PARAMETERS; INPUT UNCERTAINTIES; JOINT PROBABILITIES; LINEARIZED EULER EQUATIONS; MAGNITUDE REDUCTIONS; MONTE-CARLO SIMULATIONS; NUMBER OF STATES; PRACTICAL; PROBABILISTIC ANALYSES; REDUCED BASES; REDUCED MODELS; TWO-DIMENSIONAL PROBLEMS; UNSTEADY AERODYNAMIC;

COMPUTATIONAL FLUID DYNAMICS; COMPUTATIONAL GEOMETRY; COMPUTATIONAL METHODS; EULER EQUATIONS; FLUID DYNAMICS; GAS DYNAMICS; LINEAR EQUATIONS; LINEARIZATION; MONTE CARLO METHODS; PHOTOLITHOGRAPHY; PROBABILITY; PROBABILITY DENSITY FUNCTION; RISK ASSESSMENT; WATER DISTRIBUTION SYSTEMS;

DYNAMICS;

EID: 54549095881     PISSN: 00011452     EISSN: None     Source Type: Journal    
DOI: 10.2514/1.35850     Document Type: Conference Paper

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