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Solution of a Second Order Elliptic Partial Differential Equation with Varying Complex Coefficients: An Application for Computing Effective Complex Electrical Properties of Materials represented by 3D Images

机译:变系数二阶椭圆型偏微分方程的解:一种用于计算3D图像表示的材料的有效复电特性的应用

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摘要

Materials may be characterised by using their electrical properties which establish how they interact when an electric field is applied at various frequency ranges. This interaction is used to determine properties of materials such as moisture content, bulk density, bio-content, chemical concentration and stress-strain. In the case of the physical characteristics of rocks, the response of the minerals under the influence of an electric field is different at distinct frequencies due to their chemical compounds. It affects the electrical properties.;The computing of complex effective permittivity and complex effective conductivity of materials plays an important role due to its applications in different fields. The response of these properties under the influence of an alternating current field is used to characterise materials. The development of an approach to calculate these properties involves the solution of the second order elliptic partial differential equation as ▿ [Q(w)▿ u(x, y, z)] = 0, where Q(w)∈C3x3 represents the physical parameters of the different phases in the material, and u(x,y,z) is the electric potential. The main difficulty in solving this equation comes from the high contrast of the coefficients in the distinct phases of the material.;There is an efficient approach that is used to compute the effective electrical conductivity of material under the influence of a static field. The material is represented in a 3D image. The Finite Element method and periodic boundary conditions are used to build an energy function which is minimised using the Conjugate Gradient algorithm. It allows to obtain the electric potentials, and then the computation of the conductivity is carried out. Moreover, this approach can also be used to calculate effective permittivity of material when a static field is applied, just by making a few changes in the approach. However, it is not possible to modify this approach to compute complex effective permittivity and complex effective conductivity because if one wants to obtain the electric potentials, a complex energy function has to be minimised.;This research is focused on developing a numerical scheme that allows to solve the second order elliptic partial differential equation with varying complex coefficients in order to obtain the electrical potentials. In the initial stage, a few tools of functional analysis are used to transfer the strong formulation into the variational or weak formulation in the appropriate functional space. A demonstration is made to prove that the sesquilinear form is bounded and V$-elliptic. These conditions are necessary to use the Lax-Milgram theorem which guarantees that there is a solution, and that it is unique. In order to find the best approximation uh to the solution u of the variational problem, the Galerkin method and the orthogonality condition between u and uh are used to produce the best uh in a given approximating subspace in a finite-dimensional space. The process of construction of the finite-dimensional subspace is carried out using the Finite Element method.;The first stage of the numerical scheme consists in constructing a complex system of linear equations that arises from the second order elliptic partial differential equation. This is carried out by using the physical parameters of the material represented in a 3D image, the frequency where an electric field is applied, the employment of the Finite Element method, and the application of the Dirichlet and the Neumann boundary conditions. The second phase in the numerical scheme focuses on solving the complex system. The solution is computed using the technique of Hierarchical Matrices in combination with a Linear Method and the Generalised Minimal Residual Method algorithm. A C code was written to implement the scheme. The code uses the NetCDF library to read the 3D image and the H-Lib(Pro) library to work with the Hierarchical Matrices.;The scheme was evaluated using three artificial materials and three types of rocks with their 3D images, their electrical parameters, and their ranges of frequencies where the electric fields are applied. A complex system of linear equations is generated by each frequency within the range of each sample. In total, there are 199 complex systems of linear equations generated from the six different samples that were used to assess the scheme. The performance of the scheme is measured in terms of the convergence rate and the frequency. The numerical results show that the scheme is a robust tool to solve the second order elliptic partial differential equation to obtain the electric potentials, which are needed to compute the complex effective electrical properties.
机译:材料可以通过使用其电特性来表征,该电特性确定了在各种频率范围内施加电场时它们如何相互作用。这种相互作用用于确定材料的特性,例如水分含量,堆积密度,生物含量,化学浓度和应力应变。就岩石的物理特性而言,由于它们的化学成分,矿物质在电场作用下的响应在不同的频率下是不同的。材料的复数有效介电常数和复数有效电导率的计算由于其在不同领域的应用而起着重要的作用。这些特性在交流电场的影响下的响应用于表征材料。计算这些特性的方法的发展涉及二阶椭圆偏微分方程为▿的解。 [Q(w)▿ u(x,y,z)] = 0,其中Q(w)∈C3x3表示材料中不同相的物理参数,而u(x,y,z)是电势。解决该方程式的主要困难来自材料不同相中系数的高对比度。有一种有效的方法可用来计算在静电场影响下材料的有效电导率。材质以3D图像表示。使用有限元方法和周期性边界条件来构建能量函数,使用共轭梯度算法将其最小化。它允许获得电势,然后进行电导率的计算。此外,仅在方法中进行一些更改,该方法也可以用于在施加静态场时计算材料的有效介电常数。但是,不可能修改这种方法来计算复数有效介电常数和复数有效电导率,因为如果要获得电势,则必须使复数能量函数最小化。求解具有变化复数系数的二阶椭圆偏微分方程,以获得电势。在初始阶段,使用了一些功能分析工具将强公式转换为适当功能空间中的变式或弱公式。进行了演示,以证明半线性形式是有界的,并且是V $椭圆形。这些条件是使用Lax-Milgram定理所必需的,该定理可保证存在一个解决方案,并且它是唯一的。为了找到变分问题解u的最佳近似uh,Galerkin方法和u与uh之间的正交性条件用于在有限维空间中给定的近似子空间中产生最佳uh。有限维子空间的构造过程是使用有限元方法进行的。数值方案的第一阶段是构造一个复杂的线性方程组,该系统由二阶椭圆型偏微分方程产生。这是通过使用3D图像中表示的材料的物理参数,施加电场的频率,采用有限元方法以及应用Dirichlet和Neumann边界条件来执行的。数值方案的第二阶段着重于求解复杂系统。使用层次矩阵技术结合线性方法和广义最小残差方法算法来计算解决方案。编写了C代码来实现该方案。该代码使用NetCDF库读取3D图像,并使用H-Lib(Pro)库与分层矩阵配合使用。该方案是使用三种人造材料和三种类型的岩石及其3D图像,其电参数,以及施加电场的频率范围。每个样本范围内的每个频率都会生成一个复杂的线性方程组。总共有199个复杂的线性方程组系统,这些系统由六个不同的样本生成,用于评估方案。该方案的性能是根据收敛速度和频率来衡量的。数值结果表明,该方案是求解二阶椭圆偏微分方程以获得电势的鲁棒工具,计算复杂的有效电性能需要电势。

著录项

  • 作者

    Valbuena Soler, Johnny.;

  • 作者单位

    The Australian National University (Australia).;

  • 授予单位 The Australian National University (Australia).;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生理学;
  • 关键词

  • 入库时间 2022-08-17 11:36:46

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