Abstract
The scope of the present paper is to present a framework for assessment of the probability of occurrence of ice/snow accretion on bridge cables. The framework utilizes Bayesian Probabilistic Networks and the methodology is illustrated with an example of the cable-stayed Øresund Bridge. The case study focuses on the ice/snow accretion due to the in-cloud icing or precipitation icing mechanisms and includes probabilistic assessments of the meteorological variables influencing the ice/snow accretion on the stay cables. Different probability distribution functions are utilized for the representation of the meteorological variables and evaluated both by goodness-of-fit test and qualitatively. Conditional probability curves are developed
to predict the amount of ice accretion given a set of meteorological conditions using the Gaussian Kernel Smoothing method. The fitted probability distribution functions for the meteorological variables and the conditional ice accretion curves are implemented in a Bayesian Probabilistic Network and the annual average number of ice/snow accretion occurrences is estimated.
to predict the amount of ice accretion given a set of meteorological conditions using the Gaussian Kernel Smoothing method. The fitted probability distribution functions for the meteorological variables and the conditional ice accretion curves are implemented in a Bayesian Probabilistic Network and the annual average number of ice/snow accretion occurrences is estimated.
Originalsprog | Engelsk |
---|---|
Publikationsdato | 2013 |
Status | Udgivet - 2013 |
Udgivet eksternt | Ja |
Begivenhed | 11th international conference on Structural Safety & Reliability Conference - New York, USA Varighed: 16 jun. 2013 → 20 jun. 2013 Konferencens nummer: 11 http://icossar2013.org/ |
Konference
Konference | 11th international conference on Structural Safety & Reliability Conference |
---|---|
Nummer | 11 |
Land/Område | USA |
By | New York |
Periode | 16/06/2013 → 20/06/2013 |
Internetadresse |