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识别含热源瞬态热传导问题的热扩散系数.

Authors :
周焕林
严 俊
余 波
陈豪龙
Source :
Applied Mathematics & Mechanics (1000-0887). Feb2018, Vol. 39 Issue 2, p160-169. 10p.
Publication Year :
2018

Abstract

An improved cuckoo search (ICS) algorithm was developed to identify the thermal diffusion coefficients for inverse transient heat conduction problems with heat sources. The heat conduction problem with heat source was transformed into one without heat source. The direct problem was solved with the boundary element method. The thermal diffusion coefficient was treated as the optimization variable, and the difference between the calculated temperature and the measured temperature was taken as the objective function. The thermal diffusion coefficient was optimized through minimization of the objective function with the ICS algorithm. Comparison between the results of the conjugate gradient method (CGM), the cuckoo search (CS) al⁃ gorithm and the ICS algorithm indicates that the ICS algorithm is less sensitive to iterative initialization than the CGM, and the ICS algorithm has higher efficient convergence than the CS algorithm. The numerical examples were devoted to the influences of the measured point number, the nest number and the measured noise. The result accuracy decreases with the measured point number, and the iteration number decreases with the nest number. Moreover, the higher the measured noise goes, the lower the result accuracy will be. The results show that the ICS algorithm is accurate and efficient for the identification of thermal diffusion coefficients. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10000887
Volume :
39
Issue :
2
Database :
Academic Search Index
Journal :
Applied Mathematics & Mechanics (1000-0887)
Publication Type :
Academic Journal
Accession number :
128976320
Full Text :
https://doi.org/10.21656/1000⁃0887.380199