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Prediction on extreme distribution of sloshing loads considering various statistical models and threshold values
Citation Link: https://doi.org/10.15480/882.3322
Publikationstyp
Conference Paper
Date Issued
2019-09
Sprache
English
Author(s)
Herausgeber*innen
TORE-DOI
TORE-URI
Article Number
13
Citation
11th International Workshop on Ship and Marine Hydrodynamics (IWSH2019), Paper 13
Contribution to Conference
In this study, the peak-over-threshold method is applied to investigate the influence of the threshold used in the statistical analysis of sloshing loads. Weibull distribution, generalized Pareto distribution, and log-logistic distribution are used to the statistical analysis. In addition to the previously used moment method, the parameters of distributions are estimated using the L-moment method and the maximum likelihood function estimation. Statistical analysis is performed based on the experimental data obtained from 20 repeated experiments of 5 hours in real scale. In order to compare the results between statistical models, the probability plot correlation coefficient and the 3-hour most probable maximum are used. The results of this study can be one of the indicators for the statistical analysis for sloshing load prediction according to experimental conditions.
Subjects
Extreme statistics
Impact pressure
Sloshing
Sloshing load
DDC Class
600: Technik
620: Ingenieurwissenschaften
More Funding Information
Lloyd’s Register Foundation-Funded Research Center at Seoul National University
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