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Boundary integral formulation for 2D and 3D thermal problems exibiting a linearly varying stochastic conductivity

机译:2D 和 3D 热问题的边界积分公式,该问题存在线性变化的随机电导率

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摘要

This work examines steady-state heat conduction in a stochastic, heterogeneous medium where the thermal conductivity varies linearly along one direction and its slope consists of a constant plus a zero-mean random part. As a first step, the governing Laplace's equation is solved using a coordinate transformation of the independent spatial variables and the exact Green's functions in both two and three dimensions are obtained for a linearly varying conductivity profile. In addition, a boundary integral equation statement in which the Green's functions appear as kernels is concurrently obtained. Next, material stochasticity is introduced and the perturbation approach is employed for deriving the mean value and covariance of the Green's functions using up to second order terms. Perturbations are also used in conjuction with the discretized boundary integral equation statement so that a mean vector and a covariance matrix for the response (temperature, heat flux) are also obtained. An example involving steady-state temperature distribution in a block along the direction where conductivity varies on the horizontal plane due to a buried heat source serves to illustrate the method. Finally, comparisons are made with Monte Carlo simulations.
机译:这项工作研究了随机非均质介质中的稳态热传导,其中热导率沿一个方向线性变化,其斜率由一个常数加一个零均值随机部分组成。作为第一步,使用独立空间变量的坐标变换求解控制拉普拉斯方程,并针对线性变化的电导率分布获得二维和三维的精确格林函数。此外,还同时得到了格林函数作为核出现的边界积分方程语句。接下来,引入材料随机性,并采用微扰方法推导格林函数的平均值和协方差,使用高达二阶项。扰动还用于与离散化边界积分方程语句的共轭,因此还可以获得响应(温度、热通量)的平均向量和协方差矩阵。一个涉及稳态温度分布在块中沿方向分布的示例,其中由于埋入热源,电导率在水平面上发生变化,用于说明该方法。最后,与蒙特卡罗模拟进行了比较。

著录项

  • 来源
    《computational mechanics》 |2004年第6期|406-417|共页
  • 作者

    G.D.Manolis; R.P.Shaw;

  • 作者单位

    Aristotle University;

    State University of New York;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
  • 关键词

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