土壤非线性电离效应是影响接地体散流能力的重要因素。为了研究冲击电流作用下土壤非线性电离对接地体泄流能力的影响规律,以单根水平接地体为研究对象,采用三维时域有限差分(3-D FDTD)数值分析方法,基于L-D(Liew and Darveniza)提出的...土壤非线性电离效应是影响接地体散流能力的重要因素。为了研究冲击电流作用下土壤非线性电离对接地体泄流能力的影响规律,以单根水平接地体为研究对象,采用三维时域有限差分(3-D FDTD)数值分析方法,基于L-D(Liew and Darveniza)提出的土壤非线性电离效应模型;根据电磁场理论,建立了水平接地体仿真模型,然后从暂态冲击接地电阻、最大暂态地电位升(GPR)和电导率分布等接地体特性参数角度来研究水平接地体冲击散流的物理过程。研究表明:1雷电流在接地体及其周围土壤的散流是复杂的电磁暂态过程,接地体的散流极不均匀;2土壤非线性电离效应减小暂态冲击接地电阻,而且考虑了土壤非线性电离效应的最大暂态地电位升要远远低于未考虑土壤非线性电离的情况;3接地体端部附近土壤电离区域大于中部附近电离区域,具有明显的端部效应。展开更多
We calculate the multicomponent responses of surface-hole transient electromagnetic method. The methods and models are unsuitable as geoelectric models of conductive surrounding rocks because they are based on regular...We calculate the multicomponent responses of surface-hole transient electromagnetic method. The methods and models are unsuitable as geoelectric models of conductive surrounding rocks because they are based on regular local targets. We also propose a calculation and analysis scheme based on numerical simulations of the subsurface transient electromagnetic fields. In the modeling of the electromagnetic fields, the forward modeling simulations are performed by using the finite-difference time-domain method and the discrete image method, which combines the Gaver–Stehfest inverse Laplace transform with the Prony method to solve the initial electromagnetic fields. The precision in the iterative computations is ensured by using the transmission boundary conditions. For the response analysis, we customize geoelectric models consisting of near-borehole targets and conductive wall rocks and implement forward modeling simulations. The observed electric fields are converted into induced electromotive force responses using multicomponent observation devices. By comparing the transient electric fields and multicomponent responses under different conditions, we suggest that the multicomponent-induced electromotive force responses are related to the horizontal and vertical gradient variations of the transient electric field at different times. The characteristics of the response are determined by the varying the subsurface transient electromagnetic fields, i.e., diffusion, attenuation and distortion, under different conditions as well as the electromagnetic fields at the observation positions. The calculation and analysis scheme of the response consider the surrounding rocks and the anomalous field of the local targets. It therefore can account for the geological data better than conventional transient field response analysis of local targets.展开更多
The authors state briefly the possibility of various simulators to handle propagation of electromagnetic waves along some interconnections, in 3D RF (Radio Frequency) circuits. The studies are first derived in the t...The authors state briefly the possibility of various simulators to handle propagation of electromagnetic waves along some interconnections, in 3D RF (Radio Frequency) circuits. The studies are first derived in the time domain: a Finite-Difference Time-Domain method is applied, taking spectra via FFTs (Fast Fourier Transform) as post-processors. Electric and magnetic field distributions, pulse propagations along stripline structures or vias are highlighted. The scattering parameters for various cases are extracted and compared. Some original issue of this work is an insight on crosstalk or shielding phenomena between lines.展开更多
The reverse time migration(RTM)of ground penetrating radar(GPR)is usually implemented in its two-dimensional(2D)form,due to huge computational cost.However,2D RTM algorithm is difficult to focus the scattering signal ...The reverse time migration(RTM)of ground penetrating radar(GPR)is usually implemented in its two-dimensional(2D)form,due to huge computational cost.However,2D RTM algorithm is difficult to focus the scattering signal and produce a high precision subsurface image when the object is buried in a complicated subsurface environment.To better handle the multi-off set GPR data,we propose a three-dimensional(3D)prestack RTM algorithm.The high-order fi nite diff erence time domian(FDTD)method,with the accuracy of eighth-order in space and second-order in time,is applied to simulate the forward and backward extrapolation electromagnetic fi elds.In addition,we use the normalized correlation imaging condition to obtain pre-stack RTM result and the Laplace fi lter to suppress the low frequency noise generated during the correlation process.The numerical test of 3D simulated GPR data demonstrated that 3D RTM image shows excellent coincidence with the true model.Compared with 2D RTM image,the 3D RTM image can more clearly and accurately refl ect the 3D spatial distribution of the target,and the resolution of the imaging results is far better.Furthermore,the application of observed GPR data further validates the eff ectiveness of the proposed 3D GPR RTM algorithm,and its fi nal image can more reliably guide the subsequent interpretation.展开更多
基金Project(61871389)supported by the National Natural Science Foundation of ChinaProject(22-ZZCX-007)supported by the Research Major Project of the National University of Defense Technology,China+3 种基金Project(1908085MF222)supported by the Anhui Province Natural Science Foundation,ChinaProject(AHL2021ZR04)supported by Foundation of the Anhui Laboratory of Advanced Laser Technology,ChinaProject(SKL2022ZR10)supported by Foundation of the State Key Laboratory of Pulsed Power Laser Technology,ChinaProject(JCVKY2023230C010)supported by the National Defense Basic Scientific Research Program of China。
文摘土壤非线性电离效应是影响接地体散流能力的重要因素。为了研究冲击电流作用下土壤非线性电离对接地体泄流能力的影响规律,以单根水平接地体为研究对象,采用三维时域有限差分(3-D FDTD)数值分析方法,基于L-D(Liew and Darveniza)提出的土壤非线性电离效应模型;根据电磁场理论,建立了水平接地体仿真模型,然后从暂态冲击接地电阻、最大暂态地电位升(GPR)和电导率分布等接地体特性参数角度来研究水平接地体冲击散流的物理过程。研究表明:1雷电流在接地体及其周围土壤的散流是复杂的电磁暂态过程,接地体的散流极不均匀;2土壤非线性电离效应减小暂态冲击接地电阻,而且考虑了土壤非线性电离效应的最大暂态地电位升要远远低于未考虑土壤非线性电离的情况;3接地体端部附近土壤电离区域大于中部附近电离区域,具有明显的端部效应。
基金supported by the Young Scientists Fund of the National Natural Science Foundation of China(No.41304082)the China Postdoctoral Science Foundation(No.2016M590731)+2 种基金the Young Scientists Fund of the Natural Science Foundation of Hebei Province(No.D2014403011)the Program for Young Excellent Talents of Higher Education Institutions of Hebei Province(No.BJ2016046)the Geological survey project of China Geological Survey(No.1212011121197)
文摘We calculate the multicomponent responses of surface-hole transient electromagnetic method. The methods and models are unsuitable as geoelectric models of conductive surrounding rocks because they are based on regular local targets. We also propose a calculation and analysis scheme based on numerical simulations of the subsurface transient electromagnetic fields. In the modeling of the electromagnetic fields, the forward modeling simulations are performed by using the finite-difference time-domain method and the discrete image method, which combines the Gaver–Stehfest inverse Laplace transform with the Prony method to solve the initial electromagnetic fields. The precision in the iterative computations is ensured by using the transmission boundary conditions. For the response analysis, we customize geoelectric models consisting of near-borehole targets and conductive wall rocks and implement forward modeling simulations. The observed electric fields are converted into induced electromotive force responses using multicomponent observation devices. By comparing the transient electric fields and multicomponent responses under different conditions, we suggest that the multicomponent-induced electromotive force responses are related to the horizontal and vertical gradient variations of the transient electric field at different times. The characteristics of the response are determined by the varying the subsurface transient electromagnetic fields, i.e., diffusion, attenuation and distortion, under different conditions as well as the electromagnetic fields at the observation positions. The calculation and analysis scheme of the response consider the surrounding rocks and the anomalous field of the local targets. It therefore can account for the geological data better than conventional transient field response analysis of local targets.
文摘The authors state briefly the possibility of various simulators to handle propagation of electromagnetic waves along some interconnections, in 3D RF (Radio Frequency) circuits. The studies are first derived in the time domain: a Finite-Difference Time-Domain method is applied, taking spectra via FFTs (Fast Fourier Transform) as post-processors. Electric and magnetic field distributions, pulse propagations along stripline structures or vias are highlighted. The scattering parameters for various cases are extracted and compared. Some original issue of this work is an insight on crosstalk or shielding phenomena between lines.
基金This work is supported by the National Natural Science Foundation of China(No.41604039,41604102,41764005,41574078)Guangxi Natural Science Foundation project(No.2020GXNSFAA159121,2016GXNSFBA380215).
文摘The reverse time migration(RTM)of ground penetrating radar(GPR)is usually implemented in its two-dimensional(2D)form,due to huge computational cost.However,2D RTM algorithm is difficult to focus the scattering signal and produce a high precision subsurface image when the object is buried in a complicated subsurface environment.To better handle the multi-off set GPR data,we propose a three-dimensional(3D)prestack RTM algorithm.The high-order fi nite diff erence time domian(FDTD)method,with the accuracy of eighth-order in space and second-order in time,is applied to simulate the forward and backward extrapolation electromagnetic fi elds.In addition,we use the normalized correlation imaging condition to obtain pre-stack RTM result and the Laplace fi lter to suppress the low frequency noise generated during the correlation process.The numerical test of 3D simulated GPR data demonstrated that 3D RTM image shows excellent coincidence with the true model.Compared with 2D RTM image,the 3D RTM image can more clearly and accurately refl ect the 3D spatial distribution of the target,and the resolution of the imaging results is far better.Furthermore,the application of observed GPR data further validates the eff ectiveness of the proposed 3D GPR RTM algorithm,and its fi nal image can more reliably guide the subsequent interpretation.