Title :
Element free method forward modeling for GPR based on improved sarma absorbing boundary
Author :
Qian-wei, Dai ; De-shan, Feng ; Hong-Hua, Wang ; De-peng, Chen
Author_Institution :
Sch. of Geosci. & Inf.-Phys., Central South Univ., Changsha, China
Abstract :
In order to improve the resolution and accuracy of the Ground-Penetrating Radar (GPR) forward modeling, this paper will focus on applying the mesh less algorithm-Element Free Method(EFM)which is widely used in the electromagnetism field into the radar numerical simulation. The EFM is dispensed with the concepts of elements, just needs a mass of node information and adopts the Moving Least Squares Method (MLS) to structure shape function. So the EFM has many advantages, such as simple preprocessing, high accuracy and high successive independent variable solutions. This paper, which is based on the radar wave equation, deduces the detailed solution of the element free method solving for GPR wave equation, and discusses the improved combination way of the improved sarma absorbing boundary and EFM using in the GPR forward modeling. And then, the paper compiles the matlab program of corresponding EFM GPR forward modeling, involving this program in a typical geo-electric model forward modeling. The result shows that EFM based on improved sarma absorbing boundary can gain complete and travel-time-precious GPR wave section with satisfaction in both precision and stability.
Keywords :
electromagnetic fields; ground penetrating radar; numerical analysis; wave equations; GPR; electromagnetism field; element free method forward modeling; ground-penetrating radar; improved sarma absorbing boundary; matlab program; meshless algorithm; moving least squares method; radar numerical simulation; radar wave equation; structure shape function; Educational institutions; Finite difference methods; Finite element methods; Ground penetrating radar; Mathematical model; Numerical models; Propagation; Absorbing boundary; Ground Penetrating Radar; Numerical simulation; element free method;
Conference_Titel :
Ground Penetrating Radar (GPR), 2012 14th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2662-9
DOI :
10.1109/ICGPR.2012.6254859