中国科学:技术科学(英文版)2024,Vol.67Issue(4) :992-1006.DOI:10.1007/s11431-022-2389-8

Numerical manifold method for steady-state nonlinear heat conduction using Kirchhoff transformation

ZHANG LiMei KONG Heng ZHENG Hong
中国科学:技术科学(英文版)2024,Vol.67Issue(4) :992-1006.DOI:10.1007/s11431-022-2389-8

Numerical manifold method for steady-state nonlinear heat conduction using Kirchhoff transformation

ZHANG LiMei 1KONG Heng 2ZHENG Hong1
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作者信息

  • 1. Key Laboratory of Urban Security and Disaster Engineering,Ministry of Education,Beijing University of Technology Beijing 100124,China
  • 2. Beijing Municipal Construction Co.,Ltd.,Beijing 100048,China
  • 折叠

Abstract

The numerical manifold method(NMM)introduces the mathematical and physical cover to solve both continuum and dis-continuum problems in a unified manner.In this study,the NMM for solving steady-state nonlinear heat conduction problems is presented,and heat conduction problems consider both convection and radiation boundary conditions.First,the nonlinear governing equation of thermal conductivity,which is dependent on temperature,is transformed into the Laplace equation by introducing the Kirchhoff transformation.The transformation reserves linearity of both the Dirichlet and the Neumann boundary conditions,but the Robin and radiation boundary conditions remain nonlinear.Second,the NMM is employed to solve the Laplace equation using a simple iteration procedure because the nonlinearity focuses on parts of the problem domain boundaries.Finally,the temperature field is retrieved through the inverse Kirchhoff transformation.Typical examples are analyzed,de-monstrating the advantages of the Kirchhoff transformation over the direct solution of nonlinear equations using the Newton-Raphson method.This study provides a new method for calculating nonlinear heat conduction.

Key words

numerical manifold method/nonlinear heat conduction/temperature-dependent thermal conductivity/Kirchhoff transformation/convection and radiation boundary conditions

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基金项目

国家自然科学基金(52079002)

国家自然科学基金(52130905)

出版年

2024
中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子:1.056
ISSN:1674-7321
参考文献量60
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