Quantifying multiple types of uncertainty in physics-based simulation using Bayesian model averaging

AIAA Journal

Volumn 49, Issue 5, 2011, Pages 1038-1045

  Park, Inseok ^a,b   Grandhi, Ramana V ^a,b  

^a WRIGHT STATE UNIVERSITY   (United States)

^b Department of Mechanical and Materials Engineering ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; BAYESIAN MODEL AVERAGING; CONFIDENCE BANDS; ENGINEERING SYSTEMS; EXPERIMENTAL DATA; LASER PEENING; MODEL AVERAGING; MODEL PREDICTION; MODEL PROBABILITIES; MODEL SET; NON-LINEAR SPRING-MASS SYSTEM; PARAMETRIC UNCERTAINTIES; PHYSICS-BASED SIMULATION; RESIDUAL STRESS FIELDS; RESPONSE PREDICTION; SIMULATION MODEL; STATISTICAL FRAMEWORK; STOCHASTIC SIMULATION MODEL; STRESS FIELD; SYSTEM RESPONSE;

BAYESIAN NETWORKS; COMPUTER SIMULATION; FORECASTING; MODELS; RANDOM ERRORS; STRESSES;

STOCHASTIC MODELS;

EID: 79955431737     PISSN: 00011452     EISSN: None     Source Type: Journal    
DOI: 10.2514/1.J050741     Document Type: Conference Paper

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