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One-step GPS for the estimation of temperature-dependent thermal conductivity

机译:一站式GPS估算与温度有关的热导率

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摘要

In this paper we are concerned with the estimation of temperature-dependent thermal conductivity of a one-dimensional inverse heat conduction problem. First, we construct a one-step group-preserving scheme (GPS) for the semi-discretization of quasilinear heat conduction equation, and then derive a quasilinear algebraic equation to determine the unknown thermal conductivity under a given initial temperature and a measured temperature perturbed by noise at time T. The new method does not require any prior information on the functional form of thermal conductivity. Several examples are examined to show that the new approach has high accuracy and efficiency, and the number of iterations spent in solving the quasilinear algebraic equation is smaller than five even in a large temperature range.
机译:在本文中,我们关注一维逆导热问题的温度相关导热系数的估计。首先,我们为准线性热传导方程的半离散化建立了一个单步的群保存方案(GPS),然后推导了一个准线性代数方程,以确定在给定的初始温度和受温度扰动的实测温度下的未知热导率。新方法不需要任何有关热传导功能形式的先验信息。通过几个实例研究表明,该新方法具有较高的准确性和效率,即使在较大的温度范围内,用于求解拟线性代数方程的迭代次数也小于5。

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