유전 알고리즘을 이용한 9,400 TEU 컨테이너 선박 주위의 방향파 스펙트럼 모수 추정

초록

The structural integrity of ships and offshore structures is a critical aspect of maritime engineering, as these structures are continuously subjected to complex and uncertain ocean wave loads. Accurately estimating the directional wave spectrum is essential for understanding the wave-induced responses of ships and ensuring their long-term structural performance. In this study, we propose a parametric estimation method for the directional wave spectrum using the wave buoy analogy concept, where a ship’s response is utilized similarly to a wave buoy. The wave model employed is a 10-parameter bimodal wave spectrum, which effectively represents both long and short-wave components. A genetic algorithm is used to optimize the estimation by minimizing the error between the measured and predicted response spectrum. To validate the proposed methodology, we applied it to full-scale measurement data obtained from a 9,400 TEU container ship. The estimated wave spectrum was compared with WaMoS data to assess the accuracy and reliability of the method. The results indicate that the proposed approach effectively estimates the directional wave spectrum while accounting for uncertainties in the response data, demonstrating its feasibility for practical wave spectrum estimation in real operational conditions.

키워드