Offshore fish farming will become an inevitable trend for high productivity and low pollution in the future. For deep-sea fish cages, there are a few technical challenges that need to be overcome. First, there are limited information and references about the feasibility of deep-sea fish cages due to the more complex sea conditions. Secondly, stronger waves, currents, and other environments loads will lead to more stringent requirements on the types, materials, and strengths of the fish cage structure. This project will focus on the hydrodynamic analysis of fish cages. The specified objectives include:

• Identify fish cage structures suitable for application in offshore areas.
• Develop a hydro-elastic analysis model for fish net cages. The method can quickly and effectively calculate flow field information and simulate the dynamic response of the cage structure, so it has advantages in large domain wavefield research.
• Study the factors affecting the properties of hydrodynamic loads in fish cage design, including wave conditions and structural properties.
• Simulate and analyse the distribution of the flow field under the influence of the fish cage and cage groups, which will provide a reference for seawater transportation and fish survival conditions.
• Real case studies of the offshore fish net cages in Tasmania, including operating ranges, mechanical properties, flow field distributions.

Based on the above goals, we will develop a set of tools used to fluid-structure simulation for offshore fish cages and conduct a series of numerical experiments to provide references for the design of deep-sea fish cages. Benefits to this tool:

• Time and cost will be effectively reduced in the cage structure design.
• Identify structural safety risks to avoid personal injuries and property losses.
• Under the premise of ensuring infrastructure safety, reducing the cost of construction and maintenance of the fishing cage system.
• Optimize the living environment of fish through flow field analysis to improve production efficiency.