基于GPU并行辛算法的复杂地电结构电磁响应高效数值模拟

Jianwei Lei, H. Fang
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引用次数: 0

摘要

对于大尺寸、精细结构的正演模拟,由于稳定性条件和密集的网格数,数值精度和计算效率不高。本文将辛欧拉算法、表面保形技术和GPU加速技术相结合,建立了复杂地电结构中电磁波传播的精确、高效的数值模型。实现了任意形状地下目标电磁响应的精细化、高效计算。结果表明,探地雷达(GPR)正演模拟的精度和效率均有较大提高,为准确解释探地雷达探测数据提供了理论依据,并为反演成像提供了准确高效的正演模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-efficiency Numerical Simulation of Electromagnetic Response of Complex Geoelectric Structures Based on GPU Parallel Symplectic Algorithm
For forward modeling of large size and fine structures, the numerical accuracy and computational efficiency are not high due to the stability conditions and dense grid number. In this paper, the symplectic Euler algorithm, surface conformal technique and GPU acceleration technique were combined to establish a precise and high-efficiency numerical model of electromagnetic wave propagation in complex geoelectric structures. And we realized the refined and efficient calculation of the electromagnetic response of arbitrary shape underground target. The results show that the accuracy and efficiency of ground penetrating radar (GPR) forward modeling are greatly improved, which provides a theoretical basis for accurately interpreting GPR detection data, and provides an accurate and efficient forward modeling for the inversion imaging.
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