Analysis of the accidents related to container losses at sea

• Main Author: Seah, Priscilla Xinzhen
• Other Authors: Liu Shukui
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering
• Online Access: https://hdl.handle.net/10356/181791
• Institution: Nanyang Technological University

This report focuses on three key objectives: compiling and comparing ship resistance data from various authors, formulating an equation to compute the wake fraction using relevant variables, and generating the shortest possible route between two port locations. The report compiles experimental data on non-linear correction coefficients and wave steepness for ship models at full load, as provided by Jawa and Munehiko, Kashiwagi, Yasukawa et al, and Yang et al. A consolidated analysis revealed that non-linear wave effects are significant for most models except for S-Cb81 and S-Cb87, for which linear wave theory may suffice, though further data is needed. An equation for wake fraction is developed using the Froude Number as a variable, derived by combining the Harvald and BSRA methods, ensuring applicability to specific ship designs such as KCS and KVLCC2. The study also integrates global port location data into a Python program to map and calculate optimised shipping routes. A case study involving Singapore and Shanghai demonstrated the generation of a preliminary shortest route, though improvements are necessary to address land interference and incorporate weather conditions. This report provides valuable insights into ship performance prediction, contributes a practical wake fraction equation, and establishes a framework for route optimisation. Future work will focus on refining the routing algorithm to enhance accuracy and operational feasibility.