The influence of damage breach sampling process on the direct assessment of ship survivability

The current damage stability regulatory framework for passenger and dry cargo ships allows addressing vessel survivability after flooding due to collisions with probabilistic requirements. This methodology also applies other hazards responsible the of a ship such as bottom side groundings. Traditionally, application Monte Carlo sampling pertinent distributions assessing survivability. Such method introduces randomness in process, leading dispersion attained index within multiple sets generated damages. present work investigates methods alternative Carlo, based on Latin Hypercube Randomised Quasi-Monte processes. collisions, groundings reference barge available literature benchmark purposes shows that multidimensional Sobol sequences grants lower final data samples equivalent size. Finally, sample cruise highlights possibility reduce number breaches necessary evaluate an engineering confidence interval, thus improving accuracy efficiency amplification by industry.