Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins
Author:
Zhang Jiaxiu1ORCID, Yang Meng12ORCID, Xi Benye3ORCID, Duan Jie3ORCID, Huang Qingqing4, Meng Weiliang56ORCID
Affiliation:
1. School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China 2. Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China 3. College of Forestry of Beijing Forestry University, Beijing Forestry University, Beijing 100083, China 4. School of Technology, Beijing Forestry University, Beijing 100083, China 5. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 6. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract
Flight simulation of catkins using computer technology helps their prevention and control. However, this is a challenging task due to the complex characteristics, and irregular shapes of catkins, while existing methods mainly focus on rain and snow, which are not suitable for catkins. In this paper, we propose a physics-based algorithm for the dynamic simulation of fluttering catkins. Our approach includes an L-system based 3D modeling method for simulating the natural phenomena of the catkin. We consider the motion of wind, free fall of catkins, and the dynamics of catkins under the joint action of attraction between them, while adhering to the physical motion law of catkins. To provide wind force, we first establish a three-dimensional wind field based on Boltzmann’s equation. We then use the kernel function idea to calculate the attraction force between catkins and finally update the position of the catkin. We incorporate the phenomena of collision and adhesion, attraction, and accumulation of catkins while simulating motion states depending on the adjusted wall height and ground humidity parameters. Our approach overcomes limitations of previous models by achieving good simulation while using relatively less code to simulate various realistic motion states. According to our users’ study, more than 71% of users found the simulation results to be acceptable, authentic, and realistic, confirming the authenticity of our simulation. Our method can generate highly realistic effects, significantly improving efficiency by several orders of magnitude compared to manual modeling. In addition, it can effectively simulate the dynamics of catkins in different scales, providing a decision-making reference for catkin control.
Funder
the National Natural Science Foundation of China the Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University the Personalized Viewing System for the Museum Project of College Students’ innovation and entrepreneurship training program, Beijing Forestry University
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