Target‐driven cloud evolution using position‐based fluids

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

doi:10.1002/cav.1937

Target‐driven cloud evolution using position‐based fluids

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

Authors

Zili Zhang

Dr Frederick Li frederick.li@durham.ac.uk
Associate Professor

Bailin Yang

Dr Frederick Li frederick.li@durham.ac.uk
Associate Professor

Xiaohui Liang

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

Files

Accepted Journal Article (2.6 Mb)
PDF

Copyright Statement
This is the peer reviewed version of the following article:Zhang, Zili, Li, Yunfei, Yang, Bailin, Li, Frederick W. B. & Liang, Xiaohui (2020). Target‐driven cloud evolution using position‐based fluids. Computer Animation and Virtual Worlds 31(6)., which has been published in final form at https://doi.org/10.1002/cav.1937. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.