Quality monitoring of metro grouting behind segment using ground penetrating radar

Yu, Qiming; Zhou, Huilin; Wang, Yu-hao; Duan, Rongxing

doi:10.1016/j.conbuildmat.2015.12.109

Cited by 30 publications

(10 citation statements)

References 18 publications

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“…• Thickness of concrete segment/lining [186][187][188][189][190][191][192][193][194][195][196][197][198][199].…”

Section: Overview On Gpr In Tunnelingmentioning

confidence: 99%

“…Numerical simulations are set up to predict the performance of the radar-wave and to recognize typical reflection patterns, which allows one to obtain an accurate interpretation more easily. There are some noteworthy studies showing that additional forward modelling has increased the reliability of GPR results when inspecting internal rebar location and possible damage, or even thickness of segments and grouting [189,[194][195][196].…”

Section: Tunneling Inspectionmentioning

confidence: 99%

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A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

2021

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The non-destructive testing and diagnosis of transport infrastructures is essential because of the need to protect these facilities for mobility, and for economic and social development. The effective and timely assessment of structural health conditions becomes crucial in order to assure the safety of the transportation system and time saver protocols, as well as to reduce excessive repair and maintenance costs. Ground penetrating radar (GPR) is one of the most recommended non-destructive methods for routine subsurface inspections. This paper focuses on the on-site use of GPR applied to transport infrastructures, namely pavements, railways, retaining walls, bridges and tunnels. The methodologies, advantages and disadvantages, along with up-to-date research results on GPR in infrastructure inspection are presented herein. Hence, through the review of the published literature, the potential of using GPR is demonstrated, while the main limitations of the method are discussed and some practical recommendations are made.

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“…• Thickness of concrete segment/lining [186][187][188][189][190][191][192][193][194][195][196][197][198][199].…”

Section: Overview On Gpr In Tunnelingmentioning

confidence: 99%

Section: Tunneling Inspectionmentioning

confidence: 99%

A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

2021

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“…Jiang et al proposed a quantitative system for health inspection and evaluation of the tunnel lining to ensure safety of the lining structure; such approach could effectively extract cracks and accurately evaluate the tunnel lining conditions [20]. On the basis of the grouting effect detected by the GPR image of Nanchang Metro Line 1, Yu et al determined the thickness and distribution of grouting layer and obtained the GPR image features, such as gaps and cracks [21]. 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].…”

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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“…According to the investigation of Nanchang Metro Line 1, GPR was combined with image processing by Yu et al to determine the effectiveness of grouting evaluation method. The simulation of the FDTD method was used to assist the map interpretation of GPR, which ensured the construction quality of the metro tunnel and reduced the potential operational risk [14]. Fourier time-frequency analysis [15][16], wavelet analysis [17][18], and Hilbert-Huang transform [19] have been proposed to analyze GPR detection data, and many feasible ideas have also been introduced.…”

Section: State Of the Artmentioning

confidence: 99%

Wavelet Packet Analysis of Ground–Penetrating Radar Simulated Signal for Tunnel Cavity Fillings

Zhang¹,

Li²,

Fu³

et al. 2018

JESTR

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Quality defects, such as noncompactness, cavity, and water leakage, typically appear behind tunnel linings given the lack of standardization and loose management in tunnel construction. Thus, a method for acquiring characteristic information from tunnel lining cavity fillings using frequency band energy of wavelet packet transform (FBEWPT) was proposed in this study to master the reflection characteristics of ground-penetrating radar (GPR) signal. A forward simulation of tunnel lining cavity fillings, including air, wet clay, silt, and water, was explored through finite-difference time-domain method. The spectrum characteristics of tunnel cavity fillings were analyzed from time, frequency, and time-frequency domains. Results demonstrate that amplitude reflection clearly occurs at the inhomogeneous interface when GPR electromagnetic waves collide with the tunnel lining cavity fillings. However, the degree of attenuations is different considering the various dielectric constants of objects. These relative dielectric constants reveal the reflection interface position and other information between lining and fillings. With the increase in the difference in relative dielectric constants for lining cavity fillings, the attenuation of FBEWPT for GPR signals increasingly strengthens, and the variance and standard deviation of the FBEWPT for GPR signals constantly decrease, thereby reflecting the strong reflection and attenuation of GPR signals that appear in the propagation process. This study provides a favourable reference for obtaining GPR signal spectrum interpretation for tunnel lining cavity fillings in actual projects.

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Quality monitoring of metro grouting behind segment using ground penetrating radar

Cited by 30 publications

References 18 publications

A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

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

Wavelet Packet Analysis of Ground–Penetrating Radar Simulated Signal for Tunnel Cavity Fillings

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