Design of complex systems in the presence of large uncertainties: A statistical approach

Computer Methods in Applied Mechanics and Engineering

Volumn 197, Issue 49-50, 2008, Pages 4092-4103

  Koutsourelakis, P S ^a  

^a Cornell University   (United States)

Author keywords

Bayesian; Complex systems; Design; Monte Carlo; Statistical learning; Uncertainty

Indexed keywords

CHLORINE COMPOUNDS; FINITE ELEMENT METHOD; LARGE SCALE SYSTEMS; NONLINEAR SYSTEMS; TECHNOLOGY;

ALGORITHMIC FRAMEWORK; BAYESIAN; COMPLEX SYSTEMS; DESIGN; DESIGN VARIABLES; DESIGNING COMPLEX; ENGINEERING PROBLEMS; FINITE-ELEMENT CODES; MONTE CARLO; NON-INTRUSIVE; NUMERICAL EXAMPLES; OPTIMIZED SAMPLING; RESPONSE STATISTICS; ROBUST SENSITIVITY; STATIC AND DYNAMIC; STATISTICAL APPROACHES; STATISTICAL LEARNING; UNCERTAINTY;

STATISTICAL METHODS;

EID: 52749083077     PISSN: 00457825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cma.2008.04.012     Document Type: Article

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