Fast Vortex Particle Method for Fluid-Character Interaction

Publikation: Bidrag til tidsskriftKonferenceartikelForskning

Standard

Fast Vortex Particle Method for Fluid-Character Interaction. / Meldgaard, Asger; Darkner, Sune; Erleben, Kenny.

I: OpenReview.net, Bind 2022, 2022.

Publikation: Bidrag til tidsskriftKonferenceartikelForskning

Harvard

Meldgaard, A, Darkner, S & Erleben, K 2022, 'Fast Vortex Particle Method for Fluid-Character Interaction', OpenReview.net, bind 2022.

APA

Meldgaard, A., Darkner, S., & Erleben, K. (2022). Fast Vortex Particle Method for Fluid-Character Interaction. OpenReview.net, 2022.

Vancouver

Meldgaard A, Darkner S, Erleben K. Fast Vortex Particle Method for Fluid-Character Interaction. OpenReview.net. 2022;2022.

Author

Meldgaard, Asger ; Darkner, Sune ; Erleben, Kenny. / Fast Vortex Particle Method for Fluid-Character Interaction. I: OpenReview.net. 2022 ; Bind 2022.

Bibtex

@inproceedings{36c8fb6347cd4915bd9a5e6a27831f69,
title = "Fast Vortex Particle Method for Fluid-Character Interaction",
abstract = "High fidelity interactions between game characters and gaseous effects like smoke, fire and explosions are often neglected in real-time applications due to the high computational cost of detailed fluid simulation. We present a purely vortex particle based fluid model for games which is capable of resolving the collision between fluids and complex objects such as moving game characters in real time. Contrary to most other vorticity based methods, we use a simple inversion free approach to obtain the collision velocity field on surfaces while at the same time avoiding the expensive pressure projection step associated with pressure based fluid solvers. This entails that our method fits within the restricted computational budget of most games. We showcase the efficacy of our method with simulations involving over 1 M GPU particles and simulation times below 1 ms. ",
author = "Asger Meldgaard and Sune Darkner and Kenny Erleben",
year = "2022",
language = "Dansk",
volume = "2022",
journal = "OpenReview.net",

}

RIS

TY - GEN

T1 - Fast Vortex Particle Method for Fluid-Character Interaction

AU - Meldgaard, Asger

AU - Darkner, Sune

AU - Erleben, Kenny

PY - 2022

Y1 - 2022

N2 - High fidelity interactions between game characters and gaseous effects like smoke, fire and explosions are often neglected in real-time applications due to the high computational cost of detailed fluid simulation. We present a purely vortex particle based fluid model for games which is capable of resolving the collision between fluids and complex objects such as moving game characters in real time. Contrary to most other vorticity based methods, we use a simple inversion free approach to obtain the collision velocity field on surfaces while at the same time avoiding the expensive pressure projection step associated with pressure based fluid solvers. This entails that our method fits within the restricted computational budget of most games. We showcase the efficacy of our method with simulations involving over 1 M GPU particles and simulation times below 1 ms.

AB - High fidelity interactions between game characters and gaseous effects like smoke, fire and explosions are often neglected in real-time applications due to the high computational cost of detailed fluid simulation. We present a purely vortex particle based fluid model for games which is capable of resolving the collision between fluids and complex objects such as moving game characters in real time. Contrary to most other vorticity based methods, we use a simple inversion free approach to obtain the collision velocity field on surfaces while at the same time avoiding the expensive pressure projection step associated with pressure based fluid solvers. This entails that our method fits within the restricted computational budget of most games. We showcase the efficacy of our method with simulations involving over 1 M GPU particles and simulation times below 1 ms.

M3 - Konferenceartikel

VL - 2022

JO - OpenReview.net

JF - OpenReview.net

ER -

ID: 307094831