스웨덴 KTH 학생 교류 세미나
Maritime Digitalization: Autonomous operations, virtual assets, Artificial Intelligence, and visualization technologies
Exploring the SSO Universe: Innovations in AI and Optimization
Ships and Marine Structures in Ice: Research Challenges and Opportunities
Method for Collision Avoidance Based on Deep Reinforcement Learning with Path-Speed Control for an Autonomous Ship
Abstract In this paper, we propose a collision avoidance method based on deep reinforcement learning (DRL) that simultaneously controls the path and speed of a ship. The DRL is actively applied in machine control and artificial intelligence. To verify the proposed method, we applied it to the Imazu problem. It provides benchmark scenarios for collision avoidance. In […]
A novel formula for predicting the ultimate compressive strength of the cylindrically curved plates
Abstract "The present study aims to develop an empirical formula to predict the ultimate compressive strength of unstiffened cylindrically curved plates. Drawing from an extensive analysis of 400 unique curved plate scenarios under longitudinal compression, we investigated critical parameters: the flank angle (denoted as �), plate aspect ratio (denoted as �/�), and plate slenderness ratio (denoted as �). The ANSYS […]
Prediction of mechanical response of hexagonal honeycomb SPS blast wall under explosive loading: In-depth review and empirical formula
Abstract Despite comprehensive prevention strategies, offshore operations consistently grapple with health, safety, and environmental (HSE) challenges. Though explosions on offshore structures are rare, their devastating impact cannot be understated. Blast walls, functioning as pivotal passive barriers, play a crucial role in protecting the topsides of these structures by dissipating explosive energy. Sandwich panel structures (SPS), with their lightweight attributes, […]
ANN-based Prediction Models for Green Water Events around a FPSO in Irregular Waves
Abstract The green water problem has been a critical concern for the safety of offshore structures in extreme environmental conditions. However, accurately predicting the green water events using the conventional diffraction analysis method is challenging, primarily due to the highly nonlinear physics of the green water phenomenon. In this study, a novel methodology for the […]
Numerical study on static drift tests for ship maneuvering in regular waves
Abstract This study is driven by the coupled seakeeping–maneuvering analysis, which predicts ship maneuverability in waves by combining seakeeping analysis with a mathematical maneuvering model. The traditional maneuvering model and its corresponding coefficients are developed based on calm sea conditions, where wave effects are typically disregarded as a temporary compromise. It is an inevitable need […]
Numerical simulation of free-running turning test of ship in waves
Abstract In this study, the turning abilities of a KVLCC2 vessel in calm water and waves are studied using free-running simulations based on an open-source computational fluid dynamics (CFD) library. The flow fields are governed by the unsteady Reynolds-Averaged Navier-Stokes (RANS) equations with the stabilized k–ω SST turbulence modeling. To imitate free-running ships, the overset method is employed with body […]
