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THE INVERSE LEAST-SQUARES FINITE ELEMENT METHOD APPLIED TO THE CONVECTION-DIFFUSION EQUATION

机译:应用于对流扩散方程的逆最小二乘有限元方法

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A Least Squares Finite Element Method (LSFEM) formulation for the detection of unknown boundary conditions in problems governed by the steady convection-diffusion equation will be presented. The method is capable of determining temperatures, and heat fluxes in location where such quantities are unknown provided such quantities are sufficiently over-specified in other locations. For the current formulation it is assumed the velocity field is known. The current formulation is unique in that it results in a sparse square system of equations even for partial differential equations that are not self-adjoint. Since this formulation always results in a symmetric positive-definite matrix, the solution can be found with standard sparse matrix solvers such as preconditioned conjugate gradient method. In addition, the formulation allows for equal order approximation of temperature and heat fluxes as it is not subject to the inf-sup condition. The formulation allow for a treatment of over-specified boundary conditions. Also, various forms of regularization can be naturally introduced within the formulation. Details of the discretization and sample results will be presented.
机译:将呈现最小二乘有限元方法(LSFEM)用于检测由稳态对流扩散方程治理的问题的未知边界条件的制剂。该方法能够确定温度,以及在其他数量未知的位置中的热通量,提供这种数量在其他位置上充分地过度指定。对于当前制剂,假设速度场是已知的。目前的制剂是唯一的,因为它即使对于不自行伴随的部分微分方程,它也导致稀疏方程式系统。由于该制剂总是导致对称的正面矩阵,因此可以使用标准稀疏矩阵溶剂(例如预先处理的共轭梯度法)找到解决方案。另外,制剂允许温度和热通量的相等近似,因为它不受INF-SUP条件的影响。制剂允许治疗过度指定的边界条件。而且,可以在制剂内自然地引入各种形式的正则化。将提出离散化和样本结果的详细信息。

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