Gaidai multimodal risk evaluation methodology based on cargo vessel onboard measurements, given structural damage accumulation

Intercontinental transportation relies heavily on medium-to-large cargo vessels, constituting an essential component of the global trade. Thus, it is of paramount importance for trading companies, engineers, designers to advance innovative, economically viable logistical and structural schemes, that are safe and reliable. Full-scale onboard recorded data, when available, serves as valuable diagnostic tool that is hard to overestimate. An operating medium-size cargo ship TEU2800 had been selected for the current investigation. TEU2800 hull dynamics is by excessive deck panel strains, occurring during ship's intercontinental sailings through potentially adverse weather conditions. Inherent risks of damaging vessel hull and losing containers, caused by excessive motions/loads, being one of the primary concerns for the cargo transportation industry. Primary novelty of this investigation is twofold: for the first, a unique onboard measured representative dataset had been analyzed; for the second, novel multimodal reliability methodology had been employed to analyzed raw measured onboard data. Presented study advocates the state-of-the-art Gaidai multimodal spatiotemporal risks assessment methodology, enabling conservative structural hazard/damage/failure risk forecasting for nonstationary, nonlinear, multimodal cargo vessel hull dynamics, under accumulated fatigue damage. Note that the advocated novel multimodal risks evaluation methodology being of generic nature and may be straightforwardly applied to a wide range of contemporary complex naval, offshore, marine systems, hence not being limited to cargo vessels only.