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首页> 外文期刊>Mathematical Problems in Engineering >Research on the Recognition Algorithm concerning Geometric Boundary regarding Heat Conduction Based on BEM and CGM
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Research on the Recognition Algorithm concerning Geometric Boundary regarding Heat Conduction Based on BEM and CGM

机译:基于BEM和CGM的导热几何边界识别算法研究。

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摘要

An inverse algorithm on boundary element method and conjugate gradient method is proposed to solve the problem of thermal conduction inverse of geometric shape. The direct problem is solved with the boundary element method, while the solution to the inverse problem is obtained through optimizing the objective function in the conjugate gradient method. Taking into account the identification of different material specimens when the unknown boundary is sinusoidal, step function, or circular shape, the influence of initial value, temperature error, thermal conductivity, and thermal intensity on the precision of inversion solution is discussed. The experimental results show that the method can recognize various irregular boundaries and is insensitive to initial values, measurement errors, and heat intensity. The thermal conductivity has a certain effect on this method. The inversion accuracy is higher on the condition that the thermal conductivity is smaller.
机译:提出了一种边界元法和共轭梯度法的逆算法,以解决几何形状的热传导逆问题。直接问题用边界元法解决,而反问题的解法是通过优化共轭梯度法的目标函数获得的。考虑到当未知边界为正弦曲线,阶跃函数或圆形时识别不同材料样本的方法,讨论了初始值,温度误差,导热系数和热强度对反演精度的影响。实验结果表明,该方法可以识别各种不规则边界,并且对初始值,测量误差和热强度不敏感。导热率对该方法有一定影响。在导热系数较小的条件下,反演精度较高。

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