Skip to main content

Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges.

Wang, X., Xu, Y., Liu, S., Ren, B., Kosinka, J., Telea, A. C., Wang, J., Song, C., Chang, J., Li, C., Zhang, J. J. and Ban, X., 2024. Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges. Computational Visual Media, 10, 803-858.

Full text available as:

[img]
Preview
PDF (OPEN ACCESS ARTICLE)
s41095-023-0368-y.pdf - Published Version
Available under License Creative Commons Attribution.

16MB
[img] PDF (OPEN ACCESS ARTICLE)
s41095-023-0368-y.pdf - Published Version
Restricted to Repository staff only
Available under License Creative Commons Attribution.

16MB

DOI: 10.1007/s41095-023-0368-y

Abstract

Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency. Novel techniques have emerged to deal with complex boundaries, multiphase fluids, gas–liquid interfaces, and fine details. The parallel use of machine learning, image processing, and fluid control technologies has brought many interesting and novel research perspectives. In this survey, we provide an introduction to theoretical concepts underpinning physics-based fluid simulation and their practical implementation, with the aim for it to serve as a guide for both newcomers and seasoned researchers to explore the field of physics-based fluid simulation, with a focus on developments in the last decade. Driven by the distribution of recent publications in the field, we structure our survey to cover physical background; discretization approaches; computational methods that address scalability; fluid interactions with other materials and interfaces; and methods for expressive aspects of surface detail and control. From a practical perspective, we give an overview of existing implementations available for the above methods. (Figure presented.)

Item Type:Article
ISSN:2096-0433
Uncontrolled Keywords:computer graphics; physical simulation; fluid simulation; fluid coupling
Group:Faculty of Media & Communication
ID Code:39854
Deposited By: Symplectic RT2
Deposited On:22 May 2024 08:41
Last Modified:29 Nov 2024 16:25

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -