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The Effect of Spatially Correlated Roughness and Boundary Conditions on the Conduction of Heat Through a Slab

机译:空间相关粗糙度和边界条件对板坯热传导的影响

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The nominally one-dimensional conduction of heat through a slab becomes two dimensional when one of the surfaces is rough or when the boundary conditions are spatially nonuniform. This paper develops the stochastic equations for a slab whose surface roughness or convective boundary condition is spatially correlated with correlation lengths ranging from 0 (white noise) to a length long in comparison to the slab thickness. The effect is described in terms of the standard deviation and the resulting spatial correlation of the heat flux as a function of depth into the slab. In contrast to the expectation that the effect is monotonic with respect to the correlation length, it is shown that the effect is maximized at an intermediate correlation length. It is also shown that roughness or a random convective heat transfer coefficient have essentially the same effects on the conducted heat, but that the combination results in a much deeper penetration than does each effect individually. In contrast to the usual methods of solving stochastic problems, both the case of a rough edge and a smooth edge with stochastic convective heat transfer coefficients can only be treated with reasonable computational expense by using direct Monte Carlo simulations.
机译:当表面之一粗糙或边界条件在空间上不均匀时,通过平板的名义上的一维热传导将变为二维。本文建立了一个平板的随机方程,该平板的表面粗糙度或对流边界条件在空间上与相关长度(从板坯厚度到0(白噪声)到较长长度)相关。用标准偏差和所产生的热通量的空间相关性(作为进入板坯深度的函数)来描述这种影响。与预期效果关于相关长度是单调的相反,表明在中间相关长度处效果最大。还显示出粗糙度或随机对流传热系数对传导热具有基本相同的影响,但是与单独的每种作用相比,这种组合产生的渗透深度要大得多。与解决随机问题的常用方法相比,具有随机对流传热系数的粗糙边缘和光滑边缘的情况都只能通过使用直接蒙特卡洛模拟方法以合理的计算费用来处理。

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