Solid-Fluid Interaction on Particle Flow Maps
Year: 2024
Type: article
Abstract: We propose a novel solid-fluid interaction method for coupling elastic solids with impulse flow maps. Our key idea is to unify the representation of fluid and solid components as particle flow maps with different lengths and dynamics. The solid-fluid coupling is enabled by implementing two novel mechanisms: first, we developed an impulse-to-velocity transfer mechanism to unify the exchanged physical quantities; second, we devised a particle path integral mechanism to accumulate coupling forces along each flow-map trajectory. Our framework integrates these two mechanisms into an Eulerian-Lagrangian impulse fluid simulator to accommodate traditional coupling models, exemplified by the Material Point Method (MPM) and Immersed Boundary Method (IBM), within a particle flow map framework. We demonstrate our method's efficacy by simulating solid-fluid interactions exhibiting strong vortical dynamics, including various vortex shedding and interaction examples across swimming, falling, breezing, and combustion.
Source: ACM Transactions on Graphics
DOI: 10.1145/3687959
Authors: Duowen Chen, Zhiqi Li, Junwei Zhou, Fan Feng, Tao Du, Bo Zhu
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Awards: Label-free Detection of Opioids in Liquid Using Zinc Oxide Nanophotonic Sensor, G2006266351, Collaborative Research: HCC: Medium: Aerodynamic Virtual Human Simulation on Face, Body, and Crowd, IRES Track I: Computational Co-Design of Physical Systems with Embodied Intelligence by Integrating Data, Simulation, and User Interface, G5808151519, Collaborative Research: HCC: Medium: Computational Design of Complex Fluidic Systems, MRI: Track-1: Acquisition of marine multirobot systems for underwater monitoring and construction, Collaborative Research: HCC: Medium: Computational Design of Complex Fluidic Systems
OpenAlex ID: W4404526664