Experimental Research and Numerical Simulation on Grouting Quality of Shield Tunnel Based on Impact Echo Method

Yao, Fei; Chen, Guangyu; Su, Jianhong

doi:10.1155/2016/1025276

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…The impact echo method is an NDT testing method that is widely used in concrete flaw detection [78][79][80][81]. The impact echo method uses a steel ball or magnetostriction as a seismic source, where the source hits the concrete surface and the structural strength or defect location is judged according to the primary wave (P-wave) signals [82]. Compared with GPR, the impact echo method is more economically friendly, has fewer interferences caused by steel bars, and provides better detection of air-filled defects.…”

Section: Elastic Wave Prospectingmentioning

confidence: 99%

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Recent Advances in the GPR Detection of Grouting Defects behind Shield Tunnel Segments

et al. 2021

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Injecting grout into the gaps between tunnel shield segments and surrounding rocks can reduce ground subsidence and prevent ground water penetration. However, insufficient grouting and grouting defects may cause serious geological disasters. Ground penetrating radar (GPR) is widely used as a nondestructive testing (NDT) method to evaluate grouting quality and determine the existence of defects. This paper provides an overview of GPR applications for grouting defect detection behind tunnel shield segments. State-of-the-art methodologies, field cases, experimental tests and signal processing methods are discussed. The reported field cases and model test results show that GPR can detect grouting defects behind shield tunnel segments by identifying reflected waves. However, some subsequent problems still exist, including the interference of steel bars and small differences in the dielectric constants among media. Recent studies have focused on enhancing the signal-to-noise ratio and imaging methods. Advanced GPR signal processing methods, including full waveform inversion and machine learning methods, are promising for detecting imaging defects. Additionally, we conduct a preliminary experiment to investigate environmental noise, antenna configuration and coupling condition influences. Some promising topics, including multichannel configuration, rapid evaluation methods, elastic wave method scanning equipment for evaluating grout quality and comprehensive NDT methods, are recommended for future studies.

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Section: Elastic Wave Prospectingmentioning

confidence: 99%

“…Yao et al [82] used the impact method to detect the grouting defects behind shield tunnel segments in both numerical simulation and segment model experiments. The results show that the impact echo method can be applied for monitoring grouting defects behind walls.…”

Section: Elastic Wave Prospectingmentioning

confidence: 99%

Recent Advances in the GPR Detection of Grouting Defects behind Shield Tunnel Segments

et al. 2021

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show abstract

“…Various non-destructive detection methods targeting at tunnel defects have been invented and applied in practical engineering. At present, the widely used techniques for void defect detection include the ground penetrating radar detection technique [10][11][12][13], acoustic techniques represented by the ultrasonic detection method [14][15][16], and the impact-echo method [17][18][19][20]. Some of these techniques have been successfully applied in tunneling projects to detect void defects.…”

Section: Introductionmentioning

confidence: 99%

Intelligent recognition of voids behind tunnel linings using deep learning and percussion sound

Zhang,

Lin,

Zhang

et al. 2023

Journal of Intelligent Construction

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Keywords tunnel void defect deep learning percussion method MFCCsVoids behind tunnel linings are critical factors affecting tunnels' safety and durability. For automatic, rapid, and accurate detection of void defects behind tunnel linings, this paper proposes an intelligent recognition method of void detection based on deep learning (DL) and percussion method. Extensive indoor percussion experiments were first conducted to obtain a total of 77,925 percussion signals. Afterward, the mel-frequency cepstrum coefficients (MFCCs) are utilized for signal feature extraction, based on which a convolutional neural network (CNN) is developed for automatic void defect diagnosis. The void automated diagnosis tests are subsequently performed, and the impact of three key factors on the recognition results is investigated. The results show that the proposed CNN can accurately identify voids ranging from 0.10 to 0.30 m, with an average accuracy of 94.96% and an F1 score of 72.29%. The exploration of the slab thickness indicates that the proposed method is capable of detecting voids with an average accuracy of 94.37% and an F1 score of 74.55%, with the slab thicknesses ranging from 0.10 to 0.30 m. Furthermore, the boundary effects of concrete slabs are analyzed. Finally, an onsite validation is carried out, and the good agreements between the developed method and ultrasonic detection method indicate that the CNN-aided percussion method is feasible in practical tunnel lining void inspection tasks.

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Non-destructive Detection of Grouting Defects Behind Shield Tunnel Wall by Combining Ground Penetrating Radar with Seismic Wave Method

Han¹,

Huang²,

Li³

et al. 2023

Lecture Notes in Civil Engineering

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The shield construction is a mature tunnel construction technology. Grouting behind segment wall synchronously during shield construction is an important measure to control stratum deformation, reduce ground settlement and prevent tunnel water seepage. The quality of grouting can significantly affect the quality of tunnel construction. The method of grouting quality judgment in early tunnel construction is inefficient and uncertain. To ensure the safety of tunnel structure, it is an urgent technical innovation to study the non-destructive testing technology for grouting effect of shield segment wall. Nowadays, the general Non-destructive testing methods include ground penetrating radar detection and seismic wave detection. These two methods can meet most of the needs of grouting defect detection behind the wall, but also have their own advantages and disadvantages. Therefore, this study proposes the combination of ground penetrating radar and seismic wave method of shield tunnel wall after grouting defects Non-destructive detection method, first, ground penetrating radar is used for scanning probe shield wall after grouting, and then according to the seismic wave method is used to further verify the results for some suspected injury, while ensure the detection efficiency to improve recognition accuracy. Finally, the defect detection and verification of the proposed method was carried out based on the shield segment model test platform, and this proposed method was successfully applied to the actual project of a metro line in Foshan.

show abstract

Experimental Research and Numerical Simulation on Grouting Quality of Shield Tunnel Based on Impact Echo Method

Cited by 5 publications

References 18 publications

Recent Advances in the GPR Detection of Grouting Defects behind Shield Tunnel Segments

Recent Advances in the GPR Detection of Grouting Defects behind Shield Tunnel Segments

Intelligent recognition of voids behind tunnel linings using deep learning and percussion sound

Non-destructive Detection of Grouting Defects Behind Shield Tunnel Wall by Combining Ground Penetrating Radar with Seismic Wave Method

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