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

Research output: Contribution to journalArticleResearchpeer review

Authors

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

Research Organisations

External Research Organisations

  • Hohai University
  • Nanjing University of Aeronautics and Astronautics
  • Nanchang University
  • University of North Carolina
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Details

Original languageEnglish
Article number111310
JournalJournal of computational physics
Volume463
Early online date18 May 2022
Publication statusPublished - 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.

Keywords

    Evolving surface, Generalized finite difference method, Krylov deferred correction method, Point clouds

ASJC Scopus subject areas

Cite this

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, Vol. 463, 111310, 15.08.2022.

Research output: Contribution to journalArticleResearchpeer 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 May 18. doi: 10.1016/j.jcp.2022.111310
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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.",
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