In the present paper, statistical analysis of peak values in sloshing-induced impact pressures is carried out. The estimation of sloshing impact pressures is the key to design load selection which is substantial in cargo structure design. Even if the tank motion is random, extreme values of local impact pressures are dependent on statistical theory. Traditionally, the probability of peak pressures is considered to follow distributions such as Weibull distribution function. However, an extended statistical investigation on sloshing impact pressures is required for the accuracy of estimation. In this study, a variety of statistical distributions including generalized extreme value distribution and three-parameter log-logistic distribution are applied to peak pressure data. The data is obtained from three dimensional sloshing model tests that are conducted in Seoul National University Sloshing Experiment Facility. Peak pressures from 20%, 50% and 95% tank filling levels are considered. Statistical distributions are fitted to peak pressure data using three different parameter estimation method. These fittings are compared by observing probability of exceedance diagrams as well as probability plot correlation coefficient test for goodness-of-fit. A comparison of estimated maximum pressures for different return periods is also executed.
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