GPR evaluation of the Damaoshan highway tunnel: A case study

Xiang, Lei; Zhou, Huilin; Zhang, Shu; Tan, Si-hao; Guoqing, Liang; Zhu, Jian

doi:10.1016/j.ndteint.2013.05.004

Cited by 63 publications

(20 citation statements)

References 19 publications

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“…The waveforms of one-dimensional data (A-Scan) and two-dimensional radargrams (B-Scan) contain information about the internal characteristics of the analyzed specimen. Xiang et al [14] explained that the reflected wave produces hyperbolae, with the top of each hyperbola denoting the corresponding rebar position in the GPR images. Unfortunately, the waveforms also contain a variety of complex interference waves, increasing the difficulty of feature identification.…”

Section: Brief Description Of Other Studies Using the Methods To Imagementioning

confidence: 99%

Object Detection of Ground-Penetrating Radar Signals Using Empirical Mode Decomposition and Dynamic Time Warping

Senalik

Wacker

et al. 2020

Forests

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An object detection method of ground-penetrating radar (GPR) signals using empirical mode decomposition (EMD) and dynamic time warping (DTW) is proposed in this study. Two groups of timber specimens were examined. The first group comprised of Douglas fir (Pseudotsuga menziesii) timber sections prepared in the laboratory with inserts of known internal characteristics. The second group comprised of timber girders salvaged from the timber bridges on historic Route 66 over 80 years. A GSSI Subsurface Interface Radar (SIR) System 4000 with a 2 GHz palm antenna was used to scan these two groups of specimens. GPR sensed differences in dielectric constants (DC) along the scan path caused by the presence of water, metal, or air within the wood. This study focuses on the feature identification and defect classification. The results show that the processing methods were efficient for the illustration of GPR information.

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Section: Brief Description Of Other Studies Using the Methods To Imagementioning

confidence: 99%

Object Detection of Ground-Penetrating Radar Signals Using Empirical Mode Decomposition and Dynamic Time Warping

Senalik

Wacker

et al. 2020

Forests

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“…To ensure safety and quality service to passengers, Llanca et al established an expert diagnosis system by combining qualitative and quantitative methods to make up for the shortcomings of visual inspections [22]. Taking Damashan tunnel in Fujian province as an example, Xiang et al evaluated the condition of the lining structure by combining GPR and finite-difference time-domain (FDTD) technology and showed that the average qualified rate of lining thickness was 79.87% of the design parameters [23]. To ensure that GPR satisfies the requirements of lining defect investigation and regular inspection, Zan et al developed a new method with remote detection (vehicle-mounted GPR), which provided a fast, interference-free method for periodic inspections and health assessments of existing tunnels [24].…”

Section: State Of the Artmentioning

confidence: 99%

Thickness Identification of Tunnel Lining Structure by Time–Energy Density Analysis based on Wavelet Transform

Zhang¹,

He²,

Li³

et al. 2019

JESTR

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The concrete thickness of the tunnel lining structure and cover depth is insufficient. Such condition seriously affects the safety and stability of the lining structure. The lining structure thickness is difficult to identify using radar profile horizon tracing method because of the strong interference of steel bars to electromagnetic wave propagation. To explore the reflection characteristics of electromagnetic wave signals at the interface between deep concrete and surrounding rock, a time-energy density analysis based on wavelet transform (TEDAWT) was proposed in this study. Ground-penetrating radar (GPR) forward modelling of the lining structure with different thicknesses of plain and reinforced concrete was carried out by using different central frequencies, namely, 1600 and 900 MHz, respectively. On this basis, the GPR detection signals for the plain and reinforced concrete lining structures were analyzed by employing the TEDAWT method. The feasibility of the TEDAWT method in GPR quantitative identification was verified using physical experiment. Results demonstrate that the identification accuracy of different thicknesses of plain and reinforced concrete structure is high regardless of the method used in either forward modelling or physical experiment, and the relative error is less than 5%. In the identification of concrete cover depth, the resolution of a 1600 MHz antenna is higher than that of a 900 MHz antenna, and the relative error is also less than 5%. The results indicate the application potential of the proposed method for quantitative identification of tunnel lining thickness by non-destructive testing. The proposed method provides not only the thickness distribution of the plain concrete structure but also the distribution of the reinforced concrete structure and concrete cover depth compared with traditional radar profile horizon tracing method.

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“…There are successful works in detecting thicknesses of both lining and backfill grouting layers behind the concrete lining (Liu et al 2012), as well as to identify defects in lining such as voids and cracks (Karlovšek et al 2012). Additional information can be obtained to define rebar geometry, including corrosion detection (Xiang et al 2013). Variations in water content, and other aspects, as the presence of reinforcement elements embedded in lining (Parkinson and Ékes 2008), can be also obtained by GPR.…”

Section: Tunnelsmentioning

confidence: 99%

Applications of GPR in Association with Other Non-destructive Testing Methods in Surveying of Transport Infrastructures

Solla

Lorenzo

Martínez-Sánchez

et al. 2015

Civil Engineering Applications of Ground Penetrating Radar

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Preservation and maintenance of transport infrastructure is a global concern that affects social and economic development in all countries. During the last decades, there has been a continuous increase in the use of non-destructive testing (NDT) applied to many aspects related to civil engineering field. Ground Penetrating Radar (GPR) has become an established method of inspection. This paper presents a compilation of works in the frame of the applications of GPR and other NDT methods in the evaluation of transport infrastructures. Published works in roads and pavements, concrete and masonry structures, and tunnel testing are mentioned. It has been demonstrated that such methods have significantly benefited the procedures for inspection and also, successfully solved some of the limitations of traditional methods.

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GPR evaluation of the Damaoshan highway tunnel: A case study

Cited by 63 publications

References 19 publications

Object Detection of Ground-Penetrating Radar Signals Using Empirical Mode Decomposition and Dynamic Time Warping

Object Detection of Ground-Penetrating Radar Signals Using Empirical Mode Decomposition and Dynamic Time Warping

Thickness Identification of Tunnel Lining Structure by Time–Energy Density Analysis based on Wavelet Transform

Applications of GPR in Association with Other Non-destructive Testing Methods in Surveying of Transport Infrastructures

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