Bayesian belief network to assess carbonation-induced corrosion in reinforced concrete

Journal of Materials in Civil Engineering

Volumn 20, Issue 11, 2008, Pages 707-717

  Tesfamariam, Solomon ^a   Martín Pérez, Beatriz ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Bayesian analysis; Carbonation; Corrosion; Monte Carlo method; Reinforced concrete; Uncertainty principles

Indexed keywords

BUILDING MATERIALS; CARBONATION; COMPOSITE BEAMS AND GIRDERS; CONCRETE BUILDINGS; CONCRETE CONSTRUCTION; CORROSION; MATHEMATICAL MODELS; MONTE CARLO METHODS; NETWORK PROTOCOLS; PROBABILITY; REINFORCED CONCRETE; REINFORCEMENT; RISK ASSESSMENT; SENSOR NETWORKS; STEEL; UNCERTAINTY ANALYSIS;

BAYESIAN ANALYSIS; BAYESIAN BELIEF NETWORKS; BAYESIAN PROBABILITIES; CASE STUDIES; CHLORIDE CONTAMINATIONS; CONCRETE COVERS; FREQUENTIST; MODELING; MONTE CARLO METHOD; MONTE-CARLO SIMULATIONS; QUALITATIVE; QUANTITATIVE ASSESSMENTS; REINFORCED CONCRETE STRUCTURES; REINFORCING STEELS; SEVERAL VARIABLES; STOCHASTIC UNCERTAINTIES; TIME TO CORROSION INITIATIONS; UNCERTAINTY PRINCIPLES;

BAYESIAN NETWORKS;

BAYESIAN ANALYSIS; CONCRETE STRUCTURE; CORROSION; MONTE CARLO ANALYSIS; PROBABILITY; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; REINFORCED CONCRETE; STOCHASTICITY; UNCERTAINTY ANALYSIS;

EID: 54249138162     PISSN: 08991561     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0899-1561(2008)20:11(707)     Document Type: Article

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