Inverse analysis of three dimensional unsteady temperature field with genetic algorithms
  Revised:May 02, 2002
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DOI:10.7511/jslx20043060
KeyWord:temperature field,inverse problem,thermal parameters,finite element/Genetic Algorithms
Zhang Yuxin1  2  Song Yupu*2  Wang Denggang3
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Abstract:
      Suitable temperature control is a very important matter for the construction of mass concrete structures. However some material parameters needed in temperature computation cannot be acquired by direct measurement. According to some values easily to acquire, the Inverse computation is needed to get the accurate parameters. Based on the finite element solution theory for three-dimensional transient temperature field, the paper establishes an inverse problem solution model for three-dimensional transient temperature field. By using the genetic algorithms to get the optimum solution of nonlinear inverse problem, the method put forward can obtain multi-thermal parameters, such as adiabatic temperature, temperature conduction, heat conduction and heat exchanging parameters simultaneously with only temperature values of a few test points. Numerical examples proved high accuracy and numerical stability of the method.