Target‐driven cloud evolution using position‐based fluids

Zhang, Zili; Li, Yunfei; Yang, Bailin; Li, Frederick W.B.; Liang, Xiaohui

Abstract

To effectively control particle‐based cloud evolution without imposing strict position constraints, we propose a novel method integrating a control force field and a phase transition control into the position‐based fluids (PBF) framework. To produce realistic cloud simulation, we incorporate both fluid dynamics and thermodynamics to govern cloud particle movement. The fluid dynamics is simulated through our novel driving and damping force terms. As these terms are only formulated based on cloud particle density and position, they simplify the inputs and make our method free from artificial positional constraints. The thermodynamics is implemented by our phase transition control, which can effectively simulate cloud evolution between discrepant initial and target shapes, producing plausible results. Uniquely, our method can also support target shape change during cloud simulation. Experiment results have demonstrated our method surpasses existing methods.

Citation

Zhang, Z., Li, Y., Yang, B., Li, F. W., & Liang, X. (2020). Target‐driven cloud evolution using position‐based fluids. Computer Animation and Virtual Worlds, 31(6), https://doi.org/10.1002/cav.1937

• Journal Article Type: Article
• Acceptance Date: Jun 8, 2020
• Online Publication Date: Sep 6, 2020
• Publication Date: 2020
• Deposit Date: Oct 8, 2020
• Publicly Available Date: Sep 6, 2021
• Journal: Computer Animation and Virtual Worlds
• Print ISSN: 1546-4261
• Electronic ISSN: 1546-427X
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 6
• DOI: https://doi.org/10.1002/cav.1937
• Public URL: https://durham-repository.worktribe.com/output/1290551