Application study of the Tunnel Seismic Prediction method in Qiyueshan tunnel

Lü, Wei; Wu, Jianbing; Li, Shucai; Xu, Zhenhao; Li, Liping; Zhang, Yanhuan; Zhou, Lun

doi:10.2991/ic3me-15.2015.332

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…The 'Tunnel Seismic Prediction' method has been applied in several today's tunneling projects (cf. Lu et al (2015)).…”

Section: Tunnel Environmentmentioning

confidence: 99%

Elastic waveform inversion in the frequency domain for an application in mechanized tunneling

Riedel¹,

Musayev²,

Baitsch³

et al. 2022

Preprint

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The excavation process in mechanized tunneling can be improved by reconnaissance of the geology ahead. A nondestructive exploration can be achieved in means of seismic imaging. A full waveform inversion approach, which works in the frequency domain, is investigated for the application in tunneling. The approach tries to minimize the difference of seismic records from field observations and from a discretized ground model by changing the ground properties. The final ground model might be a representation of the geology. The used elastic wave modeling approach is described as well as the application of convolutional perfectly matched layers. The proposed inversion scheme uses the discrete adjoint gradient method, a multi-scale approach as well as the L-BFGS method. Numerical parameters are identified as well as a validation of the forward wave modeling approach is performed in advance to the inversion of every example. Two-dimensional blind tests with two different ground scenarios and with two different source and receiver station configurations are performed and analyzed, where only the seismic records, the source functions and the ambient ground properties are provided. Finally, an inversion for a three-dimensional tunnel model is performed and analyzed for three different source and receiver station configurations.

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“…The 'Tunnel Seismic Prediction' method has been applied in several today's tunneling projects (cf. Lu et al (2015)).…”

Section: Tunnel Environmentmentioning

confidence: 99%

Elastic waveform inversion in the frequency domain for an application in mechanized tunneling

Riedel¹,

Musayev²,

Baitsch³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…In addition, seismic advanced prediction methods also include tunnel seismic tomography (TST) systems [4], TGP tunnel construction advanced geological prediction (TGP), and other advanced detection methods for use in tunnels. In 2015, Lu et al [5] predicted changes in the geological conditions in front of the palm face in advance based on the engineering geological background of the tunnel, combined with the seismic wave reflection characteristics of typical geological hazards in karst tunnels. They thus proved the feasibility of using earthquake methods for advanced prediction.…”

Section: Introductionmentioning

confidence: 99%

Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data

Li,

Wang,

Wang

et al. 2024

Applied Sciences

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Fracture zones in front of tunnel faces can easily cause falling blocks and landslides during the construction process. Using seismic waves and ground-penetrating radar (GPR) data, we extracted the features of fracture zones and achieved the advanced prediction of tunnel fracture zones. The energy variation in the reflected waves propagated by seismic waves at interfaces with different impedances of contact waves was found to manifest as positive and negative reflections, and the amplitude of reflected signals within the fracture zone areas thus increased. We designed a superimposed velocity spectrum, divided the areas of variation in wave velocity, and constructed the three-dimensional spatial distribution of the tunnel fracture zones. Based on the phase change, increase in amplitude, and increase in the center-frequency characteristics of the one-dimensional time waveform of the electromagnetic waves in the fault zone area (A-scan), we located the characteristic points of the fracture zones and observed the occurrence of in-phase axis misalignment in two-dimensional scanning (B-scan). We then implemented the identification of fracture zones. This method predicted the fractured area in the rock surrounding the Liangwangshan Tunnel, and during the tunnel excavation, the fracture zones appeared in the recognition area.

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Enhancing the safety management of NATM using the tunnel seismic prediction method: a case study

Tzou¹,

Chu²,

Liu³

2020

Innov. Infrastruct. Solut.

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Application study of the Tunnel Seismic Prediction method in Qiyueshan tunnel

Cited by 5 publications

References 2 publications

Elastic waveform inversion in the frequency domain for an application in mechanized tunneling

Elastic waveform inversion in the frequency domain for an application in mechanized tunneling

Recognition of Tunnel Fracture Zones in Seismic Waves and Ground-Penetrating Radar Data

Enhancing the safety management of NATM using the tunnel seismic prediction method: a case study

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