首页> 美国卫生研究院文献>Scientific Reports >Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer
【2h】

Crosswell electromagnetic modeling from impulsive source: Optimization strategy for dispersion suppression in convolutional perfectly matched layer

机译:脉冲源的Crosswell电磁建模:卷积完美匹配层中色散抑制的优化策略

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This study applied the finite-difference time-domain (FDTD) method to forward modeling of the low-frequency crosswell electromagnetic (EM) method. Specifically, we implemented impulse sources and convolutional perfectly matched layer (CPML). In the process to strengthen CPML, we observed that some dispersion was induced by the real stretch κ, together with an angular variation of the phase velocity of the transverse electric plane wave; the conclusion was that this dispersion was positively related to the real stretch and was little affected by grid interval. To suppress the dispersion in the CPML, we first derived the analytical solution for the radiation field of the magneto-dipole impulse source in the time domain. Then, a numerical simulation of CPML absorption with high-frequency pulses qualitatively amplified the dispersion laws through wave field snapshots. A numerical simulation using low-frequency pulses suggested an optimal parameter strategy for CPML from the established criteria. Based on its physical nature, the CPML method of simply warping space-time was predicted to be a promising approach to achieve ideal absorption, although it was still difficult to entirely remove the dispersion.
机译:该研究将有限差分时域(FDTD)方法应用于低频井间电磁(EM)方法的正向建模。具体来说,我们实现了脉冲源和卷积完美匹配层(CPML)。在加强CPML的过程中,我们观察到,实际拉伸κ引起了一些色散,同时横向电平面波的相速度也发生了角变化。结论是该分散与实际拉伸呈正相关,并且几乎不受网格间隔的影响。为了抑制CPML中的色散,我们首先导出了磁偶极子脉冲源在时域中的辐射场的解析解。然后,通过高频脉冲对CPML吸收进行数值模拟,通过波场快照定性地放大了色散规律。使用低频脉冲的数值模拟从既定标准中提出了CPML的最佳参数策略。基于其物理性质,简单地扭曲时空的CPML方法被认为是实现理想吸收的一种有前途的方法,尽管仍然很难完全去除色散。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号