Title :
A hybrid time-domain model of electromagnetic induction from conducting, permeable targets
Author :
Moss, Christopher D. ; Grzegorczyk, Tomasz M. ; O´Neill, Kevin ; Kong, Jin Au
Author_Institution :
BAE Syst., Burlington, MA
Abstract :
Electromagnetic induction (EMI) is a popular technique to detect and discriminate buried unexploded ordnance (UXO). However, modeling of the EMI response from many types of UXO is difficult due to the small skin depth of the interior fields. In grid-based numerical methods, meshing the target volume or surface to resolve the skin depth is often highly impractical, yet a failure to do so yields inaccurate results. This paper addresses the problem with a time-domain hybrid technique based on thin-skin approximation (TSA) that is very accurate for small skin depths. The TSA method is applied to axisymmetric problems and is shown to be both fast and accurate when the skin depth is small. The method is compared with analytical results, and excellent agreement is obtained. For magnetic materials (such as steel), the TSA method is accurate for the complete time-domain EMI response. In such cases, the TSA method provides an improved accuracy along with an order-of-magnitude reduction in CPU time compared to a dense-mesh finite-element method (FEM). For nonmagnetic materials, the TSA loses accuracy as time progresses and must be combined with a coarse-mesh FEM. In such cases, the combined method still provides greater accuracy with comparable CPU time
Keywords :
buried object detection; electromagnetic induction; finite element analysis; method of moments; time-domain analysis; buried unexploded ordnance; coarse-mesh finite-element method; dense-mesh finite-element method; electromagnetic induction; grid-based numerical methods; magnetic materials; skin depth; steel; thin-skin approximation; time-domain hybrid technique; Electromagnetic induction; Electromagnetic interference; Electromagnetic modeling; Electromagnetic scattering; Geometry; Magnetic materials; Radar scattering; Skin; Solid modeling; Time domain analysis; Buried object detection; electromagnetic induction (EMI); finite-element method (FEM); method of moments (MoM);
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2006.876714