Session: 06-09-01 Offshore Industry: Aquaculture, Mining, etc. I

Paper Number: 124727

124727 - Sph Simulation of Hydrodynamic Response of a Semi-Submersible Aquaculture Platform 

The drastic dynamic response of a floating aquaculture platform serving in the deep sea would endanger the safety and integrity of the system due to the extreme environments. Therefore, it is of great importance to simulate and analyze the motion of a semi-submersible deep-sea aquaculture platform in real sea states. In this paper, a new concept of a semi-submersible aquaculture platform, named "Zhuhaiqin", is introduced, and the computational domain is built for numerical simulations via the open-source code DualSPHysics. The interaction between the aquaculture platform and the waves is discretized by the smoothed particle hydrodynamics (SPH) method, while the forces and motions of the mooring system are obtained based on the lumped-mass approach. The motion behavior of a floating box with mooring cables in regular waves is simulated to validate the numerical model developed in this work for dealing with floating structures. The numerical result exhibits good agreement with experimental data, demonstrating the feasibility and accuracy of the SPH model. Subsequently, the dynamic response of the simplified real-scale model based on "Zhuhaiqin" is analyzed under different wave conditions. The results indicate that wave nonlinearity and draft depth significantly affect the motion response of the aquaculture platform. Engineers are recommended to optimize the platform profile and mooring strength concerning the calculations presented in this work to avoid accidents.

Presenting Author: Jiaming Liu School of Ocean Engineering and Technology, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

Presenting Author Biography: Jiaming Liu received a B.S. degree in Civil Engineering from Jilin Jianzhu University, Changchun City, China, in 2020 and an M.S. degree in Civil Engineering and Water Conservancy from Dalian University of Technology, Dalian City, China, in 2023. He is working toward a Ph.D. in Resources and Environment with the School of Ocean Engineering and Technology, Sun Yat-sen University, Zhuhai City, China. His research interests include FOWT, PF, and CFD.

Authors:

Jiaming Liu School of Ocean Engineering and Technology, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
Kai Wang School of Ocean Engineering and Technology, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
Ruolang Han School of Ocean Engineering and Technology, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
Shuo Huang School of Ocean Engineering and Technology, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
Yue Xiao School of Ocean Engineering and Technology, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)