Seunghyun Hwang

Comparison of Machine Learning Models Based on Different Ship Hull Form Representations for Hydrodynamic Performance Prediction

Accurate prediction of ship hydrodynamic performance is essential for hull form optimization during the early design stage. This study investigates two approaches for incorporating ship hull geometry into machine learning-based surrogate models using offset data. The first approa...

An Experimental Study on the Manoeuvrability of the KLNG2 with Different Speeds by Free Running Model Tests

This study evaluates the manoeuvring performance of the KRISO LNG carrier (KLNG2) using a 1/80 scale model in Free Running Model Tests (FRMT) at full-scale speeds of 5, 15, and 19.5 knots. The programme included 35° turning-circle and 10/10, 20/20 zigzag tests. Turning results sh...