CWD-Sim: Real-Time Simulation on Grass Swaying with Controllable Wind Dynamics

Author:

Choi Namil1ORCID,Sung Mankyu1ORCID

Affiliation:

1. Department of Computer Engineering, Keimyung University, Daegu 42601, Republic of Korea

Abstract

In this paper, we propose algorithms for the real-time simulation of grass deformation and wind flow in complex scenes based on the Navier–Stokes fluid. Grasses play an important role in natural scenes. However, accurately simulating their deformation due to external forces such as the wind can be computationally challenging. We propose algorithms that minimize computational cost while producing visually appealing results. We do this by grouping the grass blades and then applying the same force to the group to reduce the computation time. We also use a quadratic equation to deform the blades affected by the wind force rather than using a complicated spline technique. Wind force is fully modeled by the Navier–Stokes fluid equation, and the blades react to this force as if they were being swept by the wind. We also propose the AGC interface (Arrow-Guided wind flow Control), which allows the direction and intensity of the wind to be manipulated using an arrow-shaped interface. Through this interface, users can have grass sway in response to user-defined wind forces in a real-time rate. We verified that the proposed algorithms can simulate 900% more grass blades than the compared paper’s algorithms.

Funder

National Research Foundation of Korea (NRF) grant funded by the Korea government

Cultural Heritage Administration, National Research Institute of Cultural Heritage

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference20 articles.

1. Stam, J. (1999, January 8–13). Stable fluids. Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles, CA, USA.

2. Harris, M.J. (2023, April 12). Fast Fluid Dynamics Simulation on the GPU. GPU Gems. Available online: https://developer.nvidia.com/sites/all/modules/custom/gpugems/books/GPUGems/gpugems_ch38.html.

3. Dobryakov, P. (2023, April 12). WebGL Fluid Simulation. Available online: https://github.com/PavelDoGreat/WebGL-Fluid-Simulation.

4. haxiomic (2023, April 12). Cross-Platform GPU Fluid Simulation. Available online: https://github.com/haxiomic/GPU-Fluid-Experiments.

5. angeluriot (2023, April 12). 2D Fluid Simulation. Available online: https://github.com/angeluriot/2D_fluid_simulation.

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