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《Engineering Mechanics》 2005-03
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APPLICATION OF IMPROVED GENETIC ALGORITHM TO SOLVING INVERSE HEAT CONDUCTION PROBLEMS

LI Shou-ju , LIU Ying-xi ( State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, China)  
The inverse problem of estimating the heat transfer coefficient and surface temperature is formulated. An algorithm is proposed based on the minimization of the least-square errors between the measured temperatures and calculated temperatures by the finite element model. The solution is sought by genetic algorithm which is able to search for optimal solution. To speed up the convergence rate and enhance inversion precision, the real genetic algorithm is applied. Numerical results show that the strategy developed in the paper is capable of dealing with both unknown heat transfer coefficient and unknown surface temperature, and has the ability to suppress measurement noise.
【Fund】: 国家自然科学基金资助项目(10072014)
【CateGory Index】: TK124
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