Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
| one publication added to basket [322939] |
Reliability assessment of offshore dynamic scour protections using copulas
Fazeres-Ferradosa, T.; Taveira-Pinto, F.; Romão, X.; Reis, M.T.; das Neves, L. (2019). Reliability assessment of offshore dynamic scour protections using copulas. Wind Engineering 43(5): 506-538. https://dx.doi.org/10.1177/0309524X18807033
In: Wind Engineering. SAGE PUBLICATIONS LTD: London. ISSN 0309-524X, meer
|  |
| Trefwoord |
|
| Author keywords |
Damage number; dynamic scour protections; offshore wind turbines;probability of failure; copula |
| Auteurs | | Top |
- Fazeres-Ferradosa, T.
- Taveira-Pinto, F.
- Romão, X.
|
- Reis, M.T.
- das Neves, L., meer
|
|
| Abstract |
This article presents a methodology to assess the reliability of dynamic scour protections used to protect offshore wind turbine foundations. The computed probabilities of failure are based on a dataset of 124 months of hindcast data from the Horns Rev 3 offshore wind farm. Copula-based models are used to obtain the joint distribution function of the significant wave height and spectral peak period and to obtain the probability of failure of scour protections. The sensitivity of the probability of failure to each model is addressed. The influence of the duration of the waves' time series is also studied. A sensitivity analysis of the probability of failure to physical constraints, such as the water depth, current's velocity or the mean diameter of the armour units, is performed. The results show that probability of failure is dependent on the copula used to model the spectral parameters and the associated value of Kendall's tau. It is shown that the copula presenting the best values of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) did not lead to the probabilities of failure that are closer to the non-parametric estimation, obtained by means of the bivariate version of the Kernel density estimation method. The application to the case study led to annual probabilities of failure, which are comparable with the values applied for other offshore components, according to the current offshore wind industry standards. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
