Ground Penetrating Radar

Daniels, David J.

doi:10.1002/0471654507.eme152

Cited by 387 publications

(496 citation statements)

References 11 publications

Supporting

Mentioning

475

Contrasting

Unclassified

Order By: Relevance

“…This nondestructive method uses electromagnetic (EM) radiation in the microwave band (UHF/VHF frequencies) of the radio spectrum, and detects the reflected signals from subsurface structures. GPR can have applications in a variety of media, including rock, soil, ice, fresh water, pavements and has found widespread application and use in civil engineering to detect subsurface objects, changes in material properties, and voids and cracks [1]. Yet, for large civil structures such as giant dams, large pile foundations, and deep diaphragm walls, the EM electromagnetic wave encounters a diffractor (e.g.…”

Section: Introductionmentioning

confidence: 99%

Underground structure defect detection and reconstruction using crosshole GPR and Bayesian waveform inversion

Qin

Xie

Vrugt

et al. 2016

Automation in Construction

View full text Add to dashboard Cite

A B S T R A C TCrosshole ground-penetrating radar (GPR) is a widely used measurement technique to help inspect the structural integrity of man-made underground structures, yet the resulting waveform and travel-time data can be difficult, complex and challenging to interpret. Here, we introduce the elements of a Bayesian inversion method for analyzing crosshole GPR data to guide detection of defects (weakness zones) in underground concrete structures. This framework uses as main building blocks the two-dimensional finite-difference time-domain (FDTD) simulator, the discrete cosine transform (DCT) method, and the DREAM (ZS) algorithm to reconstruct the relative permittivity field of an underground concrete structure from full-waveform GPR inversion. The FDTD simulator solves numerically Maxwell's equations in the time and space domain of the crosshole GPR experiment and simulates iteratively the electromagnetic (EM) waveforms. The DCT algorithm transforms the Cartesian parameterization to the frequency domain and reduces drastically the dimensionality of the parameter space by retaining only the low-frequency DCT-coefficients. Markov chain Monte Carlo (MCMC) simulation with the DREAM (ZS) algorithm is used to estimate the posterior distribution of the DCT-coefficients. The usefulness and applicability of the FDTD−DCT−DREAM (ZS) framework is demonstrated on a synthetic test example involving a unit square concrete structure with a small defect. Our results demonstrate that the proposed method successfully detects and locates defects in concrete structures. The inversion results appear rather insensitive to the noise level of the measured GPR waveforms, and the amount of data used (number of receiving antenna positions), as long as a sufficient number of measurements is available. The more DCT-coefficients that are used to characterize the concrete structure, the more accurate the results, yet the larger the posterior uncertainty of the reconstructed permittivity fields.

show abstract

Section: Introductionmentioning

confidence: 99%

Underground structure defect detection and reconstruction using crosshole GPR and Bayesian waveform inversion

Qin

Xie

Vrugt

et al. 2016

Automation in Construction

View full text Add to dashboard Cite

show abstract

“…One is (Carrier-Free Pulse CFP-GPR), which images the subsurface by transmitting short electromagnetic (EM) pulses and processing the reflections due to permittivity discontinuities in the ground [5]. The other is the stepped-frequency continuous-wave GPR (SFCW-GPR) [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

3d Imaging Method for Stepped Frequency Ground Penetrating Radar Based on Compressive Sensing

Cai¹,

Tong²,

Wang³

et al. 2012

PIER M

View full text Add to dashboard Cite

Abstract-Long data collecting time is one of the bottlenecks of the stepped-frequency continuous-wave ground penetrating radar (SFCW-GPR). We discuss the applicability of the Compressive Sensing (CS) method to three dimensional buried point-like targets imaging for SFCW-GPR. It is shown that the image of the sparse targets can be reconstructed by solving a constrained convex optimization problem based on l 1 -norm minimization with only a small number of data from randomly selected frequencies and antenna scan positions, which will reduce the data collecting time. Target localization ability, performance in noise, the effect of frequency bandwidth, and the effect of the wave travel velocity in the soil are demonstrated by simulated data. Numerical results show that the presented CS method can reconstruct the point-like targets in the right position even with 10% additive Gaussian white noise and some wave travel velocity estimation error.

show abstract

“…Antennas with broadband characteristics have recently found various applications in modern ultra wide band (UWB) communication systems and in ground penetrating radar (GPR) [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Compact Coplanar Broadband Rectangular Slot Antenna With E-Shaped Feeding Structure for GPR Applications

Sagnard¹

2012

PIER B

View full text Add to dashboard Cite

Abstract-A coplanar rectangular slot antenna operating in the very wide frequency band from 0.27 to 3.1 GHz (bandwidth over 166%) has been designed for GPR applications. The antenna, which is supposed to be positioned on the soil surface, appears particularly compact (34 × 29 cm 2 ) and exhibits a low cross-polarization in the E-plane. 3D FDTD simulations have allowed to make a detailed parametric study associated with the antenna dimensional parameters in order to optimize the radiating performances. The slot antenna has also been studied with a shield to be further integrated in a bistatic subsurface radar positioned on the soil surface. Simulated results of the link in the presence of a homogeneous soil then including buried objects met in civil engineering structures are presented and discussed. First experimental results on a sandy soil have been compared to numerical ones.

show abstract

Ground Penetrating Radar

Cited by 387 publications

References 11 publications

Underground structure defect detection and reconstruction using crosshole GPR and Bayesian waveform inversion

Underground structure defect detection and reconstruction using crosshole GPR and Bayesian waveform inversion

3d Imaging Method for Stepped Frequency Ground Penetrating Radar Based on Compressive Sensing

A Compact Coplanar Broadband Rectangular Slot Antenna With E-Shaped Feeding Structure for GPR Applications

Contact Info

Product

Resources

About