Abstract
This paper presents an approach for the model estimating the probabilistic percent corrosion depth for inner bottom plates of fuel oil tanks located in the double bottom of aging bulk carriers. Assuming that corrosion begins after four years of exploitation, a statistical approach to investigations on the ratio of the corrosion rate and the average initial inner bottom plate’s thickness of considered bulk carriers is given. We consider this ratio to be a random variable since it is included in the usual linear corrosion model. By applying adequate statistical tests to the available empirical dataset, three best fitted three-parameter distributions for estimating the cumulative density function and the probability density function of the random variable were obtained. These three distributions were further used to estimate the studied percentage of corrosion depth. Lastly, we present the corresponding numerical and graphical results concerning the obtained statistical and empirical results and give concluding remarks.
Highlights
Corrosion is one of the most frequent degradation mechanisms that affects ship hulls as they age
This paper presents an approach for the model estimating the probabilistic percent corrosion depth for inner bottom plates of fuel oil tanks located in the double bottom of aging bulk carriers
Assuming that corrosion starts after four years of exploitation and, based on the application of Equation (2) from Section 2.3, this section proposes a probabilistic method for estimating the random variable c1 that was defined in Section 2.3 for the inner bottom plates of the investigated fuel oil
Summary
Corrosion is one of the most frequent degradation mechanisms that affects ship hulls as they age. There are numerous types of corrosion, such as galvanic corrosion, fretting corrosion, bio-corrosion, and pitting corrosion, the most widespread type that damages ship hull structures is general corrosion. The long periods of exploitation include operations with cargo. The influential factors of the environment and maintenance all affect the corrosion rate over time. A high intensity of corrosion causes a faster wear of structural parts and requires a significant investment in maintenance. The maintenance and repairs delay the usage of ships, increase the expenses, and shorten the life expectancy of ships
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