A time-domain framework for ship motions analysis incorporating a quadtree-based non-linear force model
Year: 2025
Type: article
Abstract: This paper develops a mathematical model of ship motion based on a hybrid Green's function method, incorporating a quadtree algorithm to accurately account for non-linear Froude-Krylov forces. The model is first validated through a series of tests. Subsequently, a parametric study is conducted by simulating the ship's motion in irregular long-crested waves to analyze its response to various parameters. This research contributes to the field in three key ways: it provides a novel method for seakeeping calculations suitable for marine simulators, offers a reference for expanding the scope of non-linear ship motion studies, and establishes the theoretical foundation for implementing ship dynamics in realistic irregular seas. • Based on the quadtree method, this paper constructs a 3D time-domain ship heave and pitch non-linear mathematical model. • The radiation and diffraction use a linear formulation, and the non-linear Froude-Krylov force uses the quadtree method. • The accuracy of the mathematical model is verified by comparing the test results with the 3D time domain results. • A wave spectrum is used to deal with irregular waves, and the accuracy of the irregular waves is verified. • Different parameters are set to predict the heave and pitch motion of the ship under irregular waves.
Source: Ocean Engineering
Authors: Shuai Wang, Junsheng Ren, Xuechao Jiao, Zhaochun Liu, C. Guedes Soares
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,150
Funders: Institutul National de Cercetare-Dezvoltare pentru Fizica si Inginerie Nucleara 'Horia Hulubei', National Natural Science Foundation of China, China Scholarship Council, Fundação para a Ciência e a Tecnologia, National Key Research and Development Program of China, Centro de Engenharia e Tecnologia Naval e Oceânica, Instituto Superior Técnico
OpenAlex ID: W7105600398
