Using The Polynomial Particle-In-Cell Method For Liquid-Fabric Interaction

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Dennison, Robert, Maddock, Steve
Format: Preprint
Publié: 2023
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866914757883199488
author Dennison, Robert
Maddock, Steve
author_facet Dennison, Robert
Maddock, Steve
contents Liquid-fabric interaction simulations using particle-in-cell (PIC) based models have been used to simulate a wide variety of phenomena and yield impressive visual results. However, these models suffer from numerical damping due to the data interpolation between the particles and grid. Our paper addresses this by using the polynomial PIC (PolyPIC) model instead of the affine PIC (APIC) model that is used in current state-of-the-art wet cloth models. The affine transfers of the APIC model are replaced by the higher order polynomials of PolyPIC, thus reducing numerical dissipation and improving resolution of vorticial details. This improved energy preservation enables more dynamic simulations to be generated although this is at an increased computational cost.
format Preprint
id arxiv_https___arxiv_org_abs_2308_01060
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Using The Polynomial Particle-In-Cell Method For Liquid-Fabric Interaction
Dennison, Robert
Maddock, Steve
Graphics
Liquid-fabric interaction simulations using particle-in-cell (PIC) based models have been used to simulate a wide variety of phenomena and yield impressive visual results. However, these models suffer from numerical damping due to the data interpolation between the particles and grid. Our paper addresses this by using the polynomial PIC (PolyPIC) model instead of the affine PIC (APIC) model that is used in current state-of-the-art wet cloth models. The affine transfers of the APIC model are replaced by the higher order polynomials of PolyPIC, thus reducing numerical dissipation and improving resolution of vorticial details. This improved energy preservation enables more dynamic simulations to be generated although this is at an increased computational cost.
title Using The Polynomial Particle-In-Cell Method For Liquid-Fabric Interaction
topic Graphics
url https://arxiv.org/abs/2308.01060