Preview-based sampling for controlling gaseous simulations

Ruoguan Huang, Zeki Melek, John Keyser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Scopus citations

Abstract

In this work, we describe an automated method for directing the control of a high resolution gaseous fluid simulation based on the results of a lower resolution preview simulation. Small variations in accuracy between low and high resolution grids can lead to divergent simulations, which is problematic for those wanting to achieve a desired behavior. Our goal is to provide a simple method for ensuring that the high resolution simulation matches key properties from the lower resolution simulation. We first let a user specify a fast, coarse simulation that will be used for guidance. Our automated method samples the data to be matched at various positions and scales in the simulation, or allows the user to identify key portions of the simulation to maintain. During the high resolution simulation, a matching process ensures that the properties sampled from the low resolution simulation are maintained. This matching process keeps the different resolution simulations aligned even for complex systems, and can ensure consistency of not only the velocity field, but also advected scalar values. Because the final simulation is naturally similar to the preview simulation, only minor controlling adjustments are needed, allowing a simpler control method than that used in prior keyframing approaches. Copyright © 2011 by the Association for Computing Machinery, Inc.
Original languageEnglish (US)
Title of host publicationProceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation - SCA '11
PublisherAssociation for Computing Machinery (ACM)
Pages177-186
Number of pages10
ISBN (Print)9781450309233
DOIs
StatePublished - 2011
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: We would like to thank Vivek Sarin and Shu-Wei Hsu forhelpful discussions. This work was supported in part by NSFGrant IIS-0917286. This publication is based in part on worksupported by Award No. KUS-C1-016-04, made by KingAbdullah University of Science and Technology (KAUST).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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