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Article . 2001 . Peer-reviewed
License: Elsevier TDM
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zbMATH Open
Article
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DBLP
Article . 2020
Data sources: DBLP
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Physics-Based Explosion Modeling

Physics-based explosion modeling
Authors: Byron Bashforth; Yee-Hong Yang;

Physics-Based Explosion Modeling

Abstract

Summary: Explosions are among the most common special effects employed in the entertainment industry. Producing real explosions, however, is costly and potentially dangerous and special effects technicians have been turning to software to generate explosion sequences. Software tools typically allow artists to re-create the appearance of an explosion but ignore physical processes. More accurate techniques, used in scientific research, produce physically correct results but demand substantial computational resources and do not provide support for artistic expression. This paper discusses an explosion animation system, X-Sim, that incorporates physical principles relevant to the generation of an explosion in a compressible medium. Diverse explosion effects can be created automatically while still allowing the animator to adjust the processes involved. Computational issues concerning X-Sim are addressed and a multiresolution scheme is introduced that focuses computation on turbulent regions of the environment. Results generated with X-Sim, evaluated qualitatively and quantitatively, indicate that the system can generate explosion phenomena with reasonable accuracy. Animations produced with this system also point to its flexibility and utility.

Related Organizations
Keywords

Computing methodologies and applications, Computer graphics; computational geometry (digital and algorithmic aspects), explosion, Computing methodologies for image processing, physically based animation, animation systems

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
gold