Generalized non-reflecting boundaries for fluid re-simulation Conference Paper


Author(s): Bojsen-Hansen, Morten; Wojtan, Chris
Title: Generalized non-reflecting boundaries for fluid re-simulation
Title Series: ACM Transactions on Graphics
Affiliation IST Austria
Abstract: When aiming to seamlessly integrate a fluid simulation into a larger scenario (like an open ocean), careful attention must be paid to boundary conditions. In particular, one must implement special "non-reflecting" boundary conditions, which dissipate out-going waves as they exit the simulation. Unfortunately, the state of the art in non-reflecting boundary conditions (perfectly-matched layers, or PMLs) only permits trivially simple inflow/outflow conditions, so there is no reliable way to integrate a fluid simulation into a more complicated environment like a stormy ocean or a turbulent river. This paper introduces the first method for combining nonreflecting boundary conditions based on PMLs with inflow/outflow boundary conditions that vary arbitrarily throughout space and time. Our algorithm is a generalization of stateof- the-art mean-flow boundary conditions in the computational fluid dynamics literature, and it allows for seamless integration of a fluid simulation into much more complicated environments. Our method also opens the door for previously-unseen postprocess effects like retroactively changing the location of solid obstacles, and locally increasing the visual detail of a pre-existing simulation.
Keywords: fluid simulation; Non-reflecting boundaries; Perfectly matched layers; Re-simulation; Stay noided
Conference Title: ACM SIGGRAPH
Volume: 35
Issue 4
Conference Dates: July 24-28, 2016
Conference Location: Anaheim, CA, USA
ISBN: 1558-4569
Publisher: ACM  
Date Published: 2016-07-01
Start Page: Article number: 96
Copyright Statement: CC-BY 4.0
URL:
DOI: 10.1145/2897824.2925963
Notes: We thank David Hahn, Stefan Jeschke and Rok Grah for help proofreading our paper, the IST Austria Visual Computing group for helpful feedback throughout the project, and the anonymous reviewers for useful comments on our work. Finally, we thank Side Effects Software for Houdini licences. This project has received funding from the Euro- pean Research Council (ERC) under the European Union’s Horizon 2020 research and innovation pro- gramme under grant agreement No 638176.
Open access: yes (OA journal)
IST Austria Authors
  1. Chris Wojtan
    34 Wojtan
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