Numerical Analysis of Low-Cost Recognition of Tunnel Cracks with Compressive Sensing along the Railway
Source abstract
Abstract
Currently, the use of microseismic detection technology for crack detection and localization in rock masses has great potential in detecting structural damage. As engineering safety has always been a very important issue, this study investigated the problem of multi-crack identification in rock masses within the environment of track tunnels using transient waves. A tunnel rock was modeled using MIDAS GTS NX software (2019.v1.2) and a crack transient wave model in the frequency domain was obtained through data analysis and simulation. Then, this was combined with compressive sensing techniques to locate and detect multiple cracks in tunnel rock. The performance of the proposed approach was validated through experimental simulations, which included experiments on differences in the number of cracks, as well as spatial samples. The experimental results indicate that the technique performs well for single-crack localization in tunnel rock mass, where the average localization error is 4 m. Meanwhile, the localization error is larger in multi-crack localization, and the number of spatial sample points set using compressive sensing also has a large impact on the experimental results.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geophysical Methods and Applications · Ultrasonics and Acoustic Wave Propagation · Seismic Waves and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China
School of Electronic and Information Engineering, Tongji University, Shanghai 200070, China
Funding
Shanghai Municipal Commission of Economy and Information Technology · Central Universities
References (36)
Show source-provided references
1. Coupled numerical analysis of strain localization induced by shallow tunnels in saturated soils10.1016/j.compgeo.2004.01.004 ↗
2. Analysis of phased attenuation characteristics of elastic wave in coal measure strata
3. Effect of frequency and flow rate of pulsating hydraulic fracturing on crack evolution
4. Theory analysis and experimental study of the spread and attenuation of acoustic emission in rock body
5. Study of mechanical properties and acoustic emission characteristics of coal measures under water-rock interaction
6. Acoustic Emission Sensing for Crack Monitoring in Prefabricated and Prestressed Reinforced Concrete Bridge Girders10.1061/(ASCE)BE.1943-5592.0001377 ↗
7. Strain and crack analysis within concrete members using distributed fibre optic sensors10.1177/1475921718804466 ↗
8. Research on MSFM-based microseismic source location of rock mass with complex velocities
9. Estimating elastic properties and attenuation factor from different frequency components of observed seismic data10.1093/gji/ggz476 ↗
10. Seismic frequency component inversion for elastic parameters and maximum inverse quality factor driven by attenuating rock physics models10.1007/s10712-020-09593-6 ↗
11. Propagation characteristics of Rayleigh waves in unsaturated soils
12. Compressive Sensing-Based Multiple-Leak Identification for Smart Water Supply Systems10.1109/JIOT.2018.2812163 ↗
13. Inverse transient analysis in pipe networks10.1061/(ASCE)0733-9429(1994)120:8(934) ↗
14. Efficient inverse transient analysis in series pipe systems10.1061/(ASCE)0733-9429(1999)125:7(761) ↗
15. Leak detection and calibration using transients and genetic algorithms10.1061/(ASCE)0733-9496(2000)126:4(262) ↗
16. Case studies of leak detection and location in water pipe systems by inverse transient analysis10.1061/(ASCE)0733-9496(2010)136:2(248) ↗
17. Leak detection in pipelines using the damping of fluid transients10.1061/(ASCE)0733-9429(2002)128:7(697) ↗
18. Range of validity of the transient damping leakage detection method10.1061/(ASCE)0733-9429(2006)132:9(944) ↗
19. Transient test-based technique for leak detection in outfall pipes10.1061/(ASCE)0733-9496(1999)125:5(302) ↗
20. Application of hydraulic transients for leak detection in water supply systems10.2166/ws.2004.0127 ↗
21. Pipeline leak detection by impulse response extraction10.1115/1.2820746 ↗
22. Leak detection in pipes by frequency response method10.1061/(ASCE)0733-9429(2001)127:2(134) ↗
23. Pipe system diagnosis and leak detection by unsteady-state tests. 1. Harmonic analysis10.1016/S0309-1708(02)00101-X ↗
24. Standing wave difference method for leak detection in pipeline systems10.1061/(ASCE)0733-9429(2005)131:12(1106) ↗
25. Frequency domain analysis for detecting pipeline leaks10.1061/(ASCE)0733-9429(2005)131:7(596) ↗
26. Identification of multiple leaks in pipeline: Linearized model, maximum likelihood, and super-resolution localization10.1016/j.ymssp.2018.01.042 ↗
27. Compressed sensing10.1109/TIT.2006.871582 ↗
28. Compressive Sensing as Applied to Inverse Problems for Imaging: Theory, applications, current trends and open challenges10.1109/MAP.2017.2731204 ↗
29. An Introduction To Compressive Sampling10.1109/MSP.2007.914731 ↗
30. Compressive sensing image re- construction based on multiple regulation constraints10.1007/s00034-016-0432-2 ↗
31. Compressive Sensing SAR Image Reconstruction Based on Bayesian Framework and Evolutionary Computation10.1109/TIP.2010.2104159 ↗
32. Ultra-Wideband Compressed Sensing: Channel Estimation10.1109/JSTSP.2007.906657 ↗
33. Wylie, E.B., Streeter, V.L., and Suo, L. (1993). Fluid Transients in Systems, Englewood Cliffs, Prentice Hall.
34. Chaudhry, M.H. (1979). Applied Hydraulic Transients, Van Nostrand Reinhold.
35. A simple proof of the restricted isometry property for random ma-trices10.1007/s00365-007-9003-x ↗
36. The restricted isometry property and its implications for compressed sensing10.1016/j.crma.2008.03.014 ↗