Prediction of rock mass rating using TSP method and statistical analysis in Semnan Rooziyeh spring conveyance tunnel

Esmailzadeh, Akbar; Mikaeil, Reza; Shafei, Erfan; Sadegheslam, Golsa

doi:10.1016/j.tust.2018.05.001

Cited by 23 publications

(11 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The geological conditions of underground space are very complicated, potential geological disasters such as karst caves, faults and hidden rivers may be encountered in tunneling or underground construction, which seriously threaten the life and property of the construction personnel [1,2]. To ensure the safe and efficient construction of tunnels, many experts and scholars have studied a variety of tunnel geological prediction technologies [3][4][5], among which the most commonly used method is the TSP method [6,7]. However, the acquired seismic records are often accompanied by strong environmental noise, which makes it difficult to extract high-quality target signals.…”

Section: Introductionmentioning

confidence: 99%

Tunnel environment noise suppression by SVD-DSW method

Yue,

Zeng,

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

There is strong random noise in seismic records of tunnel seismic advance detection, which makes it difficult to obtain the underground lithology information in front of tunnel face accurately. Aiming at the problem that random noise is difficult to suppress in tunnel environment, a method of SVD-DSW is proposed in our research. Different from the directional seismic wave method, the proposed method is to stack the target signal after leveling. Then, the target signal with stronger coherence is extracted by singular value decomposition and target signal reconstruction, and finally reverse correct the extracted coherent signal to get the target signal. Simulation results and field data analysis show that the SVD-ICA theoretical approach is feasible for improving the SNR of the target signal in three-component seismogram, which is of great significance to increase detection range and resolution of tunnel seismic advance prediction.

show abstract

Section: Introductionmentioning

confidence: 99%

Tunnel environment noise suppression by SVD-DSW method

Yue,

Zeng,

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…In addition, reflected wave advanced detection technologies for tunnels are also used in mine roadways, mainly including the negative apparent velocity method, TSP, HSP, TRT, TST, ISIS, TGP, etc. (Bohlen et al, 2007;Lüth et al, 2008;Chen J. L et al, 2014;Esmailzadeh et al, 2018). Compared with the tunnel advanced detection (Luo et al, 2020;Liu et al, 2022), the reflected-wave received in small observation apertures of coal mine roadways is difficult to identify the position of true reflections (Chen F. et al, 2014), and its imaging with a lack of vertical resolution is ineffective in identifying the fault inclination (Wang and Huag, 2022).…”

Section: Introductionmentioning

confidence: 99%

Advanced detection for faults in front of coal mine roadways using seismic scattered waves

Zhang

Xiao

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

An unsuspected fault in front of a roadway is a key hidden disaster-causing factor that can result in major accidents in coal mines; therefore, the accurate advanced detection of faults is important for the safe coal mining. However, existing seismic advanced detection methods are difficult to execute because of the narrow space limits of roadways. Therefore, on the basis of the generalized theory of scattered waves and the scenes of advanced detections in roadways, we construct a new and superior advanced detection method using scattered waves. In this method, a virtual equivalent survey line perpendicular to the roadway strike is established to reconstruct scattered wave records and a polarization filter function is built to dynamically and accurately extract different types of scattered waves in the target area. An analysis of numerical simulations indicates the following. 1) The true reflection position of a fault in front of a rock roadway is closely related to its dip, and the proposed method can accurately extract and image the scattered multiwaves generated at the true reflection position to identify the inclination of the fault, which can avoid the arc-shaped illusion problem caused by the false reflection signal. 2) Under the condition that the scattered waves at the breakpoint of a broken coal seam are significantly disturbed by the coal seam waveguide effect, the fault inclination of the coal roadway can be determined by the joint imaging and interpretation on the reflected channel wave of the hanging wall breakpoint and the scattered wave of the footwall breakpoint. A field study was performed to verify the effectiveness of the proposed method. The results indicate that this method can effectively identify the position and inclination of faults and provide an effective new means for the accurate detection of faults in front of coal mine roadways.

show abstract

“…Although velocity analysis has made great progress in the field of the surface seismic prospecting (Ashida and Sassa 1993;Grechka et al, 2002;Koren and Ravve 2006;Buske et al, 2009;Brossier, 2011;Joudaki et al, 2018), some problems are still faced during the tunneling applications of the advanced prospecting method (Yamamoto et al, 2011;Zhang et al, 2019;Chao et al, 2021). This is mainly because it is difficult to generate effective lateral offset of the observation system in the narrow space of a tunnel, and faults of different dips and inclinations may exist in the area to be excavated, which increases the difficulty of prospecting (Esmailzadeh et al, 2018). Amberg Company built an advanced velocity model with prestack diffraction migration (Dickmann and Sander 1996).…”

Section: Introductionmentioning

confidence: 99%

A Polarization Migration Velocity Model Building Method for Geological Prediction Ahead of the Tunnel Face

Wang

Huang

2022

Front. Earth Sci.

View full text Add to dashboard Cite

It has been difficult to establish velocity models that use reflected seismic signals with advanced prediction ahead of the tunnel face. The accurate establishment of advanced velocity models face issues including artifacts in migration results and incorrect calculation of velocity. This study presents a polarization migration velocity model building method to solve these issues. First, the artifacts in migration interfaces were eliminated by the polarization characteristics of three-component reflected signals. Second, the optimum velocity ahead of the tunnel face was determined according to the energy stack characteristics of common interface points. Finally, the velocity model was established based on optimum velocity parameters and corresponding polarization migration interfaces using a three-dimensional and three-component numerical simulation conducted on faults with high dip and different inclinations. The results indicate that the velocity errors in the advanced velocity model were 1 and 2% for each of the two layers, and the position errors of the two interfaces were smaller than 3 and 2%. The experimental results of the Maanshan tunnel verified the effectiveness of the polarization migration velocity model building method.

show abstract

Prediction of rock mass rating using TSP method and statistical analysis in Semnan Rooziyeh spring conveyance tunnel

Cited by 23 publications

References 16 publications

Tunnel environment noise suppression by SVD-DSW method

Tunnel environment noise suppression by SVD-DSW method

Advanced detection for faults in front of coal mine roadways using seismic scattered waves

A Polarization Migration Velocity Model Building Method for Geological Prediction Ahead of the Tunnel Face

Contact Info

Product

Resources

About