GPR tomography based on regularization method for concrete defect detection

Hu, Shengdan; Zhao, Yonghui; Rao, Chunfeng; Tan, Qiaoyan; An, Chao; Ge, Shuangcheng

doi:10.1109/icgpr.2016.7572665

Cited by 2 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Currently, subsurface radar devices (GPR) are used for diagnostics. There are various modifications of the devices that have found wide commercial application [5][6][7][8][9][10][11][12][13][14][15]. In our country, in practice, there is an experience of using ground-penetrating radars produced in such countries as Russia and Latvia [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

The Use of Radar Technologies in the Trace Engineering

Oralbekova¹,

Omarkhanova²,

Zhartybayeva³

et al. 2021

Preprint

View full text Add to dashboard Cite

The paper presents experimental studies on the geophysical survey of Almaty – Nur-Sultan highway sections, which located 100 km. from Almaty, Almaty region of the Republic of Kazakhstan. As the object of study selected highway sections in 3 places: on the highway section with a well-preserved coating to identify layers; on the highway section with obvious damage (with holes, potholes, horizontal and grid cracks); on the section of the highway with a drainage pipe. Since the formulation of the problem requires the use of a non-destructive, fast method that gives an idea of the layer structures with an accuracy of ± 0.1 m., experimental studies were conducted using the ground penetrating radar (GPR) «Loza B» using different antennas, with different profile steps for accuracy. The results of the geophysical survey of the structure of the underlying layers and asphalt for the detection of defects and their causes are presented. The results of this work can be used to develop compositions of asphalt concrete mixtures with high temperature stability, strength and durability, considering the climatic conditions in order to ensure the safety of road surfaces during operation.

show abstract

Section: Introductionmentioning

confidence: 99%

The Use of Radar Technologies in the Trace Engineering

Oralbekova¹,

Omarkhanova²,

Zhartybayeva³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The crosshole ground penetrating radar (GPR) is an effective tool to map the subsurface properties, and found widespread application in soil moisture estimation [1,2], hydraulic parameter qualification [3,4], geological investigation [5][6][7], and civil structure inspection [8,9]. This method uses a transmitting antenna in one borehole to emit high-frequency (10 MHz to 1 GHz) electromagnetic (EM) waves and a receiving antenna in an adjacent borehole to receive them.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Straight-Ray Forward Model for Bayesian Inversion of Crosshole Ground Penetrating Radar Data

2019

View full text Add to dashboard Cite

Bayesian inversion of crosshole ground penetrating radar (GPR) data is capable of characterizing the subsurface dielectric properties and qualifying the associated uncertainties. Markov chain Monte Carlo (MCMC) simulations within the Bayesian inversion usually require thousands to millions of forward model evaluations for the parameters to hit their posterior distributions. Therefore, the CPU cost of the forward model is a key issue that influences the efficiency of the Bayesian inversion method. In this paper we implement a widely used straight-ray forward model within our Bayesian inversion framework. Based on a synthetic unit square relative permittivity model, we simulate the crosshole GPR first-arrival traveltime data using the finite-difference time-domain (FDTD) and straight-ray solver, respectively, and find that the straight-ray simulator runs 450 times faster than its FDTD counterpart, yet suffers from a modeling error that is more than 7 times larger. We also perform a series of numerical experiments to evaluate the performance of the straight-ray model within the Bayesian inversion framework. With modeling error disregarded, the inverted posterior models fit the measurement data nicely, yet converge to the wrong set of parameters at the expense of unreasonably large number of iterations. When the modeling error is accounted for, with a quarter of the computational burden, the main features of the true model can be identified from the posterior realizations although there still exist some unwanted artifacts. Finally, a smooth constraint on the model structure improves the inversion results considerably, to the extent that it enhances the inversion accuracy approximating to those of the FDTD model, and further reduces the CPU demand. Our results demonstrate that the use of the straight-ray forward model in the Bayesian inversion saves computational cost tremendously, and the modeling error correction together with the model structure constraint are the necessary amendments that ensure that the model parameters converge correctly.

show abstract

GPR tomography based on regularization method for concrete defect detection

Cited by 2 publications

References 14 publications

The Use of Radar Technologies in the Trace Engineering

The Use of Radar Technologies in the Trace Engineering

Evaluation of a Straight-Ray Forward Model for Bayesian Inversion of Crosshole Ground Penetrating Radar Data

Contact Info

Product

Resources

About