🤖 AI Summary
Existing real-time ocean simulation methods often compromise physical fidelity in large-scale scenes and lack a systematic exposition of inter-module coordination mechanisms. This paper proposes an end-to-end real-time framework for ocean surface and solid–fluid coupling simulation. It integrates spectral wave modeling with an Eulerian–Lagrangian hybrid fluid solver, enabling—for the first time—real-time computation of fluid velocity fields at arbitrary depths. We design a fluid-input-driven dynamic rigid-body coupling algorithm to enhance physical consistency in fluid–structure interaction. Furthermore, the framework employs a GPU/CPU heterogeneous parallel architecture. Experimental results demonstrate stable operation at over 60 FPS in large-scale scenarios, simultaneously preserving depth-dependent fluid dynamics fidelity and photorealistic interactive behavior. Our approach provides a reproducible, scalable, and systematically engineered solution for high-fidelity real-time ocean simulation.
📝 Abstract
The oceans cover the vast majority of the Earth. Therefore, their simulation has many scientific, industrial and military interests, including computer graphics domain. By fully exploiting the multi-threading power of GPU and CPU, current state-of-the-art tools can achieve real-time ocean simulation, even if it is sometimes needed to reduce the physical realism for large scenes. Although most of the building blocks for implementing an ocean simulator are described in the literature, a clear explanation of how they interconnect is lacking. Hence, this paper proposes to bring all these components together, detailing all their interactions, in a comprehensive and fully described real-time framework that simulates the free ocean surface and the coupling between solids and fluid. This article also presents several improvements to enhance the physical realism of our model. The two main ones are: calculating the real-time velocity of ocean fluids at any depth; computing the input of the fluid to solid coupling algorithm.