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Inverse analysis applied to retrieval of parameters and reconstruction of temperature field in a transient conduction-radiation heat transfer problem involving mixed boundary conditions

机译:逆分析在涉及混合边界条件的瞬态传导-辐射传热问题中的参数检索和温度场重构

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This article deals with the application of the inverse method for simultaneous retrieval of parameters and reconstruction of the temperature field in a transient conduction-radiation problem with mixed boundary conditions. The conducting-radiating medium is absorbing, emitting and isotropically scattering. The boundaries are diffuse gray. One boundary of the planar medium is at a prescribed temperature, while the other boundary is at a prescribed heat flux. A method involving lattice Boltzmann method (LBM), the finite volume method (FVM) is used to obtain the temperature field in the mixed boundary problem which in the present work is termed as the direct method. Next, random perturbations are imposed on this exact temperature field and then simultaneous reconstruction of the same and estimation of properties are accomplished by minimizing the square of the error between the exact and guessed temperature fields. This error, that in the present work is termed as the objective function, is minimized using the genetic algorithm (GA). The impact of different genetic parameters on the accuracy of the estimation is also investigated. It is observed that subject to the proper selection of the genetic parameters, simultaneous reconstruction of the temperature field along with a reasonably good estimation of the unknown parameters can be achieved using the LBM-FVM-GA.
机译:本文讨论了逆方法在混合边界条件下瞬态传导辐射问题中参数的同时获取和温度场重构的应用。导电辐射介质正在吸收,发射和各向同性散射。边界是弥散的灰色。平面介质的一个边界处于规定的温度,而另一边界处于规定的热通量。一种涉及晶格玻尔兹曼法(LBM)的方法,即有限体积法(FVM),用于获得混合边界问题中的温度场,在本工作中被称为直接方法。接下来,在此精确温度场上施加随机扰动,然后通过最小化精确温度场与推测温度场之间的误差平方来完成相同的重构和属性估计。使用遗传算法(GA)可将这种误差(在本工作中称为目标函数)最小化。还研究了不同遗传参数对估计准确性的影响。观察到,在适当选择遗传参数的情况下,可以使用LBM-FVM-GA实现温度场的同时重建以及对未知参数的合理良好估计。

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