ABSTRACT
Construction of offshore structures targets deep and ultra-deep waters in search of oil and gas. New and innovative materials that are increasingly being used in the construction of offshore structures demand more detailed understanding of their mechanical properties under critical stages of functioning. Reliability tools are seen to be effective in handling wide range of uncertainties. Uncertainties govern the use of reliability tools to judge the safe performance of offshore structures and there are different types of uncertainties that need to be known: parameter uncertainties, structural uncertainties, algorithmic uncertainties, experimental uncertainties. Several methodologies for inverse uncertainty quantification exist under the Bayesian framework. An approach to inverse uncertainty quantification is the modular Bayesian approach. Probability distributions are a vital part of statistics. There are various methods for estimating the parameters of a probability distribution: method of moments, maximum likelihood, least squares, and probability plots.
