Bayesian model updating using hybrid Monte Carlo simulation with application to structural dynamic models with many uncertain parameters

Journal of Engineering Mechanics

Volumn 135, Issue 4, 2009, Pages 243-255

  Cheung, Sai Hung ^a   Beck, James L ^b  

^a California Institute of Technology   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Bayesian analysis; Hybrid methods; Identification; Monte Carlo method; Simulation; Structural dynamics

Indexed keywords

BAYESIAN NETWORKS; DYNAMIC MODELS; DYNAMICS; HYBRID SENSORS; IDENTIFICATION (CONTROL SYSTEMS); MARKOV PROCESSES; MODEL STRUCTURES; PILES; PROBABILITY DENSITY FUNCTION; STRUCTURAL DYNAMICS; STRUCTURAL HEALTH MONITORING; SYSTEMS ENGINEERING; UNCERTAINTY ANALYSIS;

BAYESIAN ANALYSIS; BAYESIAN APPROACHES; BAYESIAN MODELS; HYBRID METHODS; HYBRID MONTE CARLO; HYBRID MONTE-CARLO METHODS; IDENTIFICATION; MARKOV CHAIN METHODS; MARKOV CHAIN MONTE CARLO SIMULATIONS; MARKOV CHAINS; MEASURED DATUM; MODEL PARAMETERS; MODEL UPDATING; MODELING UNCERTAINTIES; MULTIDIMENSIONAL INTEGRALS; POSTERIOR PROBABILITIES; PRACTICAL ISSUES; SIMULATED DATUM; SIMULATION; STRUCTURAL DYNAMIC MODELS; STRUCTURAL HEALTHS; STRUCTURAL MODELS; STRUCTURAL SYSTEMS; SYSTEM IDENTIFICATIONS; UNCERTAIN PARAMETERS;

MONTE CARLO METHODS;

BAYESIAN ANALYSIS; COMPUTER SIMULATION; DYNAMIC ANALYSIS; HEALTH MONITORING; MARKOV CHAIN; MONTE CARLO ANALYSIS; MULTISTOREY BUILDING; NUMERICAL MODEL; PARAMETERIZATION; PROBABILITY DENSITY FUNCTION; STRUCTURAL ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 63049136546     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9399(2009)135:4(243)     Document Type: Article

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