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A spectral element solution to generate wellconditioned system matrices at any desired frequency

机译:一种频谱元素解决方案,可以在任何所需频率下生成条件良好的系统矩阵

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摘要

Electromagnetic methods have been applied in many advanced applications, such as circuit design, geophysical exploration, medical imaging, and environmental perception. Since it can represent a high-fidelity virtual experiment quite close to the real world, these methods are more reliable than approximate methods. However, as working frequency gets smaller and smaller, the discretized linear system become poorly conditioned and thus difficult to solve. Typical examples include Airborne Transient Electromagnetics (ATEM) systems and Control-Source Electromagnetics (CSEM) Systems, either in time domain or in frequency domain. The purpose of this study is to develop an effective method for solving any desired frequency system especially including these low-frequency electromagnetic models. Here we propose a spectral element method (SEM) with the divergence free constraint and apply it to solve subsurface electromagnetic exploration problem. Because Gauss' law is now explicitly enforce, making system matrix well-conditioned even at extremely low frequency, we have capability to solve the linear system which cannot be solved correctly before. Several numerical experiments show that the proposed method is accuracy and efficiency.
机译:电磁方法已应用于许多高级应用中,例如电路设计,地球物理勘探,医学成像和环境感知。由于它可以代表非常接近真实世界的高保真虚拟实验,因此这些方法比近似方法更可靠。但是,随着工作频率越来越小,离散线性系统的状态变得较差,因此难以求解。典型示例包括时域或频域的机载瞬态电磁(ATEM)系统和控制源电磁(CSEM)系统。这项研究的目的是开发一种有效的方法来求解任何所需的频率系统,尤其是包括这些低频电磁模型的系统。在这里,我们提出了一种具有无散度约束的谱元方法(SEM),并将其应用于解决地下电磁勘探问题。由于高斯定律现在已明确执行,即使在极低的频率下也能使系统矩阵处于良好状态,因此我们有能力解决以前无法正确求解的线性系统。数值实验表明,该方法具有较高的准确性和效率。

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