DocumentCode :
23226
Title :
The First-Order Symplectic Euler Method for Simulation of GPR Wave Propagation in Pavement Structure
Author :
Fang, Hongyuan ; Lin, Gao ; Zhang, Ruili
Author_Institution :
Fac. of Infrastruct. Eng., Dalian Univ. of Technol., Dalian, China
Volume :
51
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
93
Lastpage :
98
Abstract :
Construction of electromagnetic wave propagation model in layered pavement structure is a key problem for applying ground penetrating radar (GPR) to the road quality detection. A first-order explicit symplectic Euler method with Higdon absorbing boundary condition is presented to simulate GPR wave propagation in 2-D pavement structure. The incident wave is considered as line source and plane wave source, respectively. The total-field/scatter-field technique is used to simulate plane wave excitation. Numerical examples are provided to verify the accuracy and efficiency of the proposed algorithm. It can be observed that the symplectic Euler method achieves almost the same level of accuracy as the finite-difference time-domain scheme, while saving CPU time considerably.
Keywords :
electromagnetic wave propagation; finite difference time-domain analysis; geotechnical engineering; geotechnical structures; ground penetrating radar; inspection; roads; structural engineering; GPR wave propagation; Higdon absorbing boundary condition; electromagnetic wave propagation model; finite-difference time-domain scheme; first-order symplectic Euler method; ground penetrating radar; incident wave; layered pavement structure; line source; plane wave excitation simulation; plane wave source; road quality detection; scatter-field technique; total-field technique; Atmospheric modeling; Computational modeling; Finite difference methods; Ground penetrating radar; Numerical models; Propagation; Time domain analysis; Forward simulation; higdon absorbing boundary condition; pavement structure; symplectic euler method; total-field/scatter-field technique;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2012.2202121
Filename :
6236131
Link To Document :
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