An efficient collocation method for long-time simulation of heat and mass transport on evolving surfaces

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Zhuochao Tang
  • Zhuojia Fu
  • Meng Chen
  • Jingfang Huang

Organisationseinheiten

Externe Organisationen

  • Hohai University
  • Nanjing University of Aeronautics and Astronautics
  • Nanchang University
  • University of North Carolina
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer111310
FachzeitschriftJournal of computational physics
Jahrgang463
Frühes Online-Datum18 Mai 2022
PublikationsstatusVeröffentlicht - 15 Aug. 2022

Abstract

This paper presents an efficient collocation method which combines the generalized finite difference method (GFDM) with the Krylov deferred correction (KDC) method for the long-time simulation of heat and mass transport on evolving surfaces. The KDC method utilizes a pseudo-spectral-type temporal collocation formulation to discretize the time-dependent surface heat and mass transport equation in each time marching step, where the time derivatives at the collocation points are introduced as the new unknown variables. A low-order time marching scheme is then applied as an effective preconditioner in the Jacobian-Free Newton-Krylov framework to decouple the spatial surface PDEs at different collocation nodes. Each decoupled surface PDE is then solved by the meshless GFDM, where both the continuous-form evolving surfaces defined by parametric equations and discretized-form evolving surfaces composed of point clouds are considered in the GFDM spatial discretization. Numerical experiments show that the combined GFDM-KDC solver is a promising numerical scheme for long-time evolution simulation of heat and mass transport on intractable evolving surfaces.

ASJC Scopus Sachgebiete

Zitieren

An efficient collocation method for long-time simulation of heat and mass transport on evolving surfaces. / Tang, Zhuochao; Fu, Zhuojia; Chen, Meng et al.
in: Journal of computational physics, Jahrgang 463, 111310, 15.08.2022.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Tang Z, Fu Z, Chen M, Huang J. An efficient collocation method for long-time simulation of heat and mass transport on evolving surfaces. Journal of computational physics. 2022 Aug 15;463:111310. Epub 2022 Mai 18. doi: 10.1016/j.jcp.2022.111310
Download
@article{6fa645511d6540a3b63c17187ff19ed2,
title = "An efficient collocation method for long-time simulation of heat and mass transport on evolving surfaces",
abstract = "This paper presents an efficient collocation method which combines the generalized finite difference method (GFDM) with the Krylov deferred correction (KDC) method for the long-time simulation of heat and mass transport on evolving surfaces. The KDC method utilizes a pseudo-spectral-type temporal collocation formulation to discretize the time-dependent surface heat and mass transport equation in each time marching step, where the time derivatives at the collocation points are introduced as the new unknown variables. A low-order time marching scheme is then applied as an effective preconditioner in the Jacobian-Free Newton-Krylov framework to decouple the spatial surface PDEs at different collocation nodes. Each decoupled surface PDE is then solved by the meshless GFDM, where both the continuous-form evolving surfaces defined by parametric equations and discretized-form evolving surfaces composed of point clouds are considered in the GFDM spatial discretization. Numerical experiments show that the combined GFDM-KDC solver is a promising numerical scheme for long-time evolution simulation of heat and mass transport on intractable evolving surfaces.",
keywords = "Evolving surface, Generalized finite difference method, Krylov deferred correction method, Point clouds",
author = "Zhuochao Tang and Zhuojia Fu and Meng Chen and Jingfang Huang",
note = "Funding Information: The authors thank the reviewers for their insightful suggestions which make the paper of better quality. This work was supported by the National Science Foundation of China (Grant No. 12122205 , No. 12001261 ), Fundamental Research Funds for the Central Universities (Grant No. B220203018 ), Alexander von Humboldt Research Fellowship (ID: 1195938 ), Six Talent Peaks Project in Jiangsu Province of China (Grant No. 2019-KTHY-009 ) and the Jiangxi Provincial Natural Science Foundation (Grant No. 20212BAB211020 ). Part of the work was done when Z. Tang was a visiting scholar at the University of North Carolina at Chapel Hill. ",
year = "2022",
month = aug,
day = "15",
doi = "10.1016/j.jcp.2022.111310",
language = "English",
volume = "463",
journal = "Journal of computational physics",
issn = "0021-9991",
publisher = "Academic Press Inc.",

}

Download

TY - JOUR

T1 - An efficient collocation method for long-time simulation of heat and mass transport on evolving surfaces

AU - Tang, Zhuochao

AU - Fu, Zhuojia

AU - Chen, Meng

AU - Huang, Jingfang

N1 - Funding Information: The authors thank the reviewers for their insightful suggestions which make the paper of better quality. This work was supported by the National Science Foundation of China (Grant No. 12122205 , No. 12001261 ), Fundamental Research Funds for the Central Universities (Grant No. B220203018 ), Alexander von Humboldt Research Fellowship (ID: 1195938 ), Six Talent Peaks Project in Jiangsu Province of China (Grant No. 2019-KTHY-009 ) and the Jiangxi Provincial Natural Science Foundation (Grant No. 20212BAB211020 ). Part of the work was done when Z. Tang was a visiting scholar at the University of North Carolina at Chapel Hill.

PY - 2022/8/15

Y1 - 2022/8/15

N2 - This paper presents an efficient collocation method which combines the generalized finite difference method (GFDM) with the Krylov deferred correction (KDC) method for the long-time simulation of heat and mass transport on evolving surfaces. The KDC method utilizes a pseudo-spectral-type temporal collocation formulation to discretize the time-dependent surface heat and mass transport equation in each time marching step, where the time derivatives at the collocation points are introduced as the new unknown variables. A low-order time marching scheme is then applied as an effective preconditioner in the Jacobian-Free Newton-Krylov framework to decouple the spatial surface PDEs at different collocation nodes. Each decoupled surface PDE is then solved by the meshless GFDM, where both the continuous-form evolving surfaces defined by parametric equations and discretized-form evolving surfaces composed of point clouds are considered in the GFDM spatial discretization. Numerical experiments show that the combined GFDM-KDC solver is a promising numerical scheme for long-time evolution simulation of heat and mass transport on intractable evolving surfaces.

AB - This paper presents an efficient collocation method which combines the generalized finite difference method (GFDM) with the Krylov deferred correction (KDC) method for the long-time simulation of heat and mass transport on evolving surfaces. The KDC method utilizes a pseudo-spectral-type temporal collocation formulation to discretize the time-dependent surface heat and mass transport equation in each time marching step, where the time derivatives at the collocation points are introduced as the new unknown variables. A low-order time marching scheme is then applied as an effective preconditioner in the Jacobian-Free Newton-Krylov framework to decouple the spatial surface PDEs at different collocation nodes. Each decoupled surface PDE is then solved by the meshless GFDM, where both the continuous-form evolving surfaces defined by parametric equations and discretized-form evolving surfaces composed of point clouds are considered in the GFDM spatial discretization. Numerical experiments show that the combined GFDM-KDC solver is a promising numerical scheme for long-time evolution simulation of heat and mass transport on intractable evolving surfaces.

KW - Evolving surface

KW - Generalized finite difference method

KW - Krylov deferred correction method

KW - Point clouds

UR - http://www.scopus.com/inward/record.url?scp=85130534690&partnerID=8YFLogxK

U2 - 10.1016/j.jcp.2022.111310

DO - 10.1016/j.jcp.2022.111310

M3 - Article

AN - SCOPUS:85130534690

VL - 463

JO - Journal of computational physics

JF - Journal of computational physics

SN - 0021-9991

M1 - 111310

ER -