Modeling of stress spectrum using long-term monitoring data and finite mixture distributions

Journal of Engineering Mechanics

Volumn 138, Issue 2, 2011, Pages 175-183

  Ni, Y Q ^a   Ye, X W ^a   Ko, J M ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Fatigue assessment; Probability density functions; Probability distribution; Steel bridges; Stress; Structural health monitoring

Indexed keywords

MIXTURES; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RELIABILITY ANALYSIS; STEEL BRIDGES; STRESSES; WEIBULL DISTRIBUTION;

AKAIKE'S INFORMATION CRITERIONS; ANALYTICAL EXPRESSIONS; ANALYTICAL MODELING; FATIGUE ASSESSMENTS; FATIGUE RELIABILITY; FILTERING TECHNIQUE; FINITE MIXTURE DISTRIBUTION; JOINT PROBABILITY DENSITY FUNCTION; LOG-NORMAL; LONG TERM MONITORING; MEAN STRESS; MEASUREMENT DATA; MIXED DISTRIBUTION; MULTI-MODAL; MULTIPLE LOADING; MULTIVARIATE DISTRIBUTIONS; PARAMETER ESTIMATION ALGORITHM; PROBABILITY DENSITIES; RAILWAY TRAFFIC; RAINFLOW; REPRESENTATIVE SAMPLE; STRAIN DATA; STRESS RANGE; STRESS SPECTRUM; STRESS TIME; STRUCTURAL HEALTH; STRUCTURAL STRAIN;

STRESS ANALYSIS;

ALGORITHM; BRIDGE; ESTIMATION METHOD; FATIGUE; MONITORING SYSTEM; NUMERICAL MODEL; PROBABILITY DENSITY FUNCTION; STEEL STRUCTURE; STRAIN ANALYSIS; STRESS;

EID: 84857779090     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)EM.1943-7889.0000313     Document Type: Article

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