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Inverse analysis of thermal conductivities in transient non-homogeneous and non-linear heat conductions using BEM based on complex variable differentiation method 被引量:1

Inverse analysis of thermal conductivities in transient non-homogeneous and non-linear heat conductions using BEM based on complex variable differentiation method
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摘要 This paper presents a new inverse analysis approach to sensitivity analysis and material property identification in transient non-homogeneous and non-linear heat conduction Boundary Element Method (BEM) analysis based on Complex Variable Differentiation Method (CVDM). In this approach, the material properties are taken as the optimization variables, and the sensitivity coefficients are computed by CVDM. The advantages of using CVDM are that the computation of partial derivatives of an implicit function is reduced to function calculation in a complex domain, and the parameter sensitivity coefficients can be determined in a more accurate way than the traditional Finite Difference Method (FDM). Based on BEM and CVDM in evaluation of the sensitivity matrix of heat flux, the parameter such as thermal conductivity can be accurately identified. Six numerical examples are given to demonstrate the potential of the proposed approach. The results indicate that the presented method is efficient for identifying the thermal conductivity with single or multiple parameters. This paper presents a new inverse analysis approach to sensitivity analysis and material property identification in transient non-homogeneous and non-linear heat conduction Boundary Element Method (BEM) analysis based on Complex Variable Differentiation Method (CVDM). In this approach, the material properties are taken as the optimization variables, and the sen- sitivity coefficients are computed by CVDM. The advantages of using CVDM are that the computation of partial derivatives of an implicit function is reduced to function calculation in a complex domain, and the parameter sensitivity coefficients can be determined in a more accurate way than the traditional Finite Difference Method (FDM). Based on BEM and CVDM in evalu- ation of the sensitivity matrix of heat flux, the parameter such as thermal conductivity can be accurately identified. Six numer- ical examples are given to demonstrate the potential of the proposed approach. The results indicate that the presented method is efficient for identifying the thermal conductivity with single or multiple parameters.
出处 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2013年第5期966-973,共8页 中国科学:物理学、力学、天文学(英文版)
基金 supported by the National Natural Science Foundation of China (Grant Nos.11172055, 51206014) the Fundamental Research Funds for the Central universities (Grant Nos.DUT11ZD(G)01,DUT11LK09)
关键词 parameter identification boundary element method complex-variable-differentiation method inverse heat conduction 瞬态热传导 反分析方法 边界元法 热导率 非线性 基础 非齐次 灵敏度系数
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参考文献19

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同被引文献15

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  • 2S. Khajehpour,M.R. Hematiyan,L. Marin.A domain decomposition method for the stable analysis of inverse nonlinear transient heat conduction problems[J]. International Journal of Heat and Mass Transfer . 2013 (1-2)
  • 3Balázs Czél,Gyula Gróf.Inverse identification of temperature-dependent thermal conductivity via genetic algorithm with cost function-based rearrangement of genes[J]. International Journal of Heat and Mass Transfer . 2012 (15-16)
  • 4Fung-Bao Liu.Particle Swarm Optimization-based algorithms for solving inverse heat conduction problems of estimating surface heat flux[J]. International Journal of Heat and Mass Transfer . 2011 (7-8)
  • 5Guangjun Wang,Lina Zhu,Hong Chen.A decentralized fuzzy inference method for solving the two-dimensional steady inverse heat conduction problem of estimating boundary condition[J]. International Journal of Heat and Mass Transfer . 2011 (13)
  • 6A. Fr?ckowiak,J.v. Wolfersdorf,M. Cia?kowski.Solution of the inverse heat conduction problem described by the Poisson equation for a cooled gas-turbine blade[J]. International Journal of Heat and Mass Transfer . 2010 (5)
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  • 8Movahedian B,Boroomand B.The Solution of Direct and Inverse TransientHeat Conduction Problems with Layered Materials Using Exponential BasisFunctions. International Journal of Thermal Sciences . 2014
  • 9Lyness N,Moler C B.Numerical differentiation ofanalytic functions. SIAM Journal on NumericalAnalysis . 1967
  • 10Cui Miao,Zhu Qianghua,Gao Xiaowei.A modified conjugate gradient method for transient nonlinear inverse heat conduction problems:a case study for identifying temperature-dependent thermal conductivities. Journal of Heat Transfer . 2014

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