IMO 2세대 복원성 규정 대비를 위한 인공신경망 기반의 순수복원성 손실 취약성 평가 시스템 개발

Abstract

The International Maritime Organization is preparing to declare the 2nd-generation intact stability criteria. The 2nd-generation stability criteria consider five situations in which a ship loses its stability restoring force on specific wave situations. The pure-loss of stability failure mode discussed in this study requires a large amount of calculation conditions such as wave height, crest positions, ship heeling angles and cargo conditions. This study has developed a system can be used to check whether stability criteria are satisfied using an artificial neural network. Through this, it is possible to dramatically reduce of time and effort for recalculation in the early stage of hull design. By using the artificial neural network to study calculation results, it is possible to estimate the stability of the hull with specific hydrostatic information. Through the system developed in this study, it is possible to immediately check whether the hull under development meets the regulations. Therefore, the development and transformation of the hull can be carried out quickly and systematically.