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Evaluation of Tunnel Contour Quality Index on the Basis of Terrestrial Laser Scanning Data

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Tunnel Contour Quality Index (TCI) is an index established by Kim and Bruland for an effective management of a tunnel contour quality. It is estimated on a basis of measurements of two contour profiles within a single blasting round, using a laser profiler. However, the representativeness of measurement results obtained that way for the assessment of a contour quality of the entire blasting round is disputable. Terrestrial laser scanning (TLS) technology, combined with available numerical surface modeling tools, enables development of three-dimensional models of a monitored surface. The article reports results of TCI calculations based on TLS data. The presented TLS technique is based not only on selected cross-sections of the tunnel contour but also on the description of the morphology of the tunnel contour surface. The case study concerns measurements of the "Mały Luboń" tunnel niche, located in Naprawa, Poland. The TCI values for three blasting rounds were determined in accordance with Kim and Bruland’s guidelines and were compared to TCI values determined with the proposed TLS technique. On a basis of this comparison, it can be concluded that the results obtained with the TLS technique are more reliable and representative for description of the contour quality of the entire blasting round than results obtained with the laser profiling technique.
Wydawca
Rocznik
Strony
255--269
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
autor
  • AGH University of Science and Technology, Faculty of Mining and Geoengineering, 30-059 Cracow, al. Mickiewicza 30, Poland
  • AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, 30-059 Cracow al. Mickiewicza 30, Poland
  • AGH University of Science and Technology, Faculty of Mining and Geoengineering, 30-059 Cracow, al. Mickiewicza 30, Poland
Bibliografia
  • [1] Kim, Y., & Bruland, A. (2019). Analysis and evaluation of tunnel contour quality index. Automation in Construction, 99, 223-237.
  • [2] Costamagna, E., Oggeri, C., Segarra, P., Castedo, R., & Navarro, J. (2018). Assessment of contour profile quality in D&B tunnelling. Tunnelling and Underground Space Technology, 75, 67-80.
  • [3] Soilán, M., Sánchez-Rodríguez, A., del Río-Barral, P., Perez-Collazo, C., Arias, P., & Riveiro, B. (2019). Review of laser scanning technologies and their applications for road and railway infrastructure monitoring. Infrastructures, 4(4), 58.
  • [4] Zogg, H. M., & Ingensand, H. (2008). Terrestrial laser scanning for deformation monitoring: Load tests on the Felsenau Viaduct (CH). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B5), 555-562.
  • [5] Xu, H., Li, H., Yang, X., Qi, S., & Zhou, J. (2019). Integration of terrestrial laser scanning and nurbs modeling for the deformation monitoring of an earth-rock dam. Sensors, 19(1), 22.
  • [6] Lenda, G., Siwiec, J., & Kudrys, J. (2020). Multi-Variant TLS and SfM Photogrammetric Measurements Affected by Different Factors for Determining the Surface Shape of a Thin-Walled Dome. Sensors, 20(24), 7095.
  • [7] Brazeal, R. (2013). Low cost spherical registration targets for terrestrial laser scanning. SUR 6905-point cloud analysis.
  • [8] Bazarnik, M. (2014). The potential of terrestrial 3D laser scanning in inventory and monitoring of tunnel railway (in Polish). Zeszyty Naukowo-Techniczne Stowarzyszenia Inżynierów i Techników Komunikacji w Krakowie. Seria: Materiały Konferencyjne.
  • [9] Suchocki, C., Damięcka-Suchocka, M., & Katzer, J. 5. Influence of factors on the value of the reflection strength of a laser beam in terrestrial laser scanning (in Polish).
  • [10] Lemmens, M. (2011). Terrestrial laser scanning. In Geo-information (pp. 101-121). Springer, Dordrecht.
  • [11] Remondino, F. (2003). From point cloud to surface: the modeling and visualization problem. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34.
  • [12] Sanchez, T., Conciatori, D., Ben-Ftima, M., & Massicotte, B. (2020). Terrestrial laser scanning for structural inspection with Kriging interpolation. Structure and Infrastructure Engineering, 1-10.
  • [13] Wang, W., Zhao, W., Huang, L., Vimarlund, V., & Wang, Z. (2014). Applications of terrestrial laser scanning for tunnels: a review. Journal of Traffic and Transportation Engineering (English Edition), 1(5), 325-337.
  • [14] Xie, X., & Lu, X. (2017). Development of a 3D modeling algorithm for tunnel deformation monitoring based on terrestrial laser scanning. Underground Space, 2(1), 16-29.
  • [15] Yang, Q., Zhang, Z., Liu, X., & Ma, S. (2017). Development of laser scanner for full cross-sectional deformation monitoring of underground gateroads. Sensors, 17(6), 1311.
  • [16] Cheng, Y. J., Qiu, W., & Lei, J. (2016). Automatic extraction of tunnel lining cross-sections from terrestrial laser scanning point clouds. Sensors, 16(10), 1648.
  • [17] Han, S., Cho, H., Kim, S., Jung, J., & Heo, J. (2013). Automated and efficient method for extraction of tunnel cross sections using terrestrial laser scanned data. Journal of computing in civil engineering, 27(3), 274-281.
  • [18] Barla, G., Antolini, F., & Gigli, G. (2016). 3D Laser scanner and thermography for tunnel discontinuity mapping. Geomechanics and Tunnelling, 9(1), 29-36.
  • [19] Tan, K., Cheng, X., Ju, Q., & Wu, S. (2016). Correction of mobile TLS intensity data for water leakage spots detection in metro tunnels. IEEE geoscience and remote sensing letters, 13(11), 1711-1715.
  • [20] Živec, T., Anžur, A., & Verbovšek, T. (2019). Determination of rock type and moisture content in flysch using TLS intensity in the Elerji quarry (south-west Slovenia). Bulletin of Engineering Geology and the Environment, 78(3), 1631-1643.
  • [21] Pejić, M. (2013). Design and optimisation of laser scanning for tunnels geometry inspection. Tunnelling and underground space technology, 37, 199-206.
  • [22] Thiel, K. (1995). Physico-mechanical properties and models of rock massifs of the Polish flysch Carpathians (in Polish). IBW PAN Gdańsk, Biblioteka Naukowa Hydrotechnika, (19).
  • [23] Faro Focus Laser Scanners, (2021), FARO,https://www.faro.com/en/Products/Hardware/Focus-Laser-Scanners.
  • [24] SCENE User Manual, (2020), FARO, https://faro.app.box. com/s/uivkgf3jyrxcxn5ofazlohjnadddknhr/file/730718082810
  • [25] ReCap Support and learning, (2021), Autodesk, https://knowledge.autodesk.com/support/recap/learn?fbclid=IwAR0tmnHo5wFwwVauarBL_dUZruBnsjZOvlbQDVoqFL_ fry5QfqgAU71jvPw
  • [26] AutoCAD Civil 3D 2010 User’s Guide, (2009), Autodesk, http://images.autodesk.com/adsk/files/civil3d_ ug.pdf?fbclid=IwAR1k-Im5CB61VP7GpvuNbWZh3Fumhd9ndLgQFSTHYmwAuonzNUIdAz67Lls
  • [27] Niedbalski, Z., Małkowski, P., & Majcherczyk, T. (2018). Application of the NATM method in the road tunneling works in difficult geological conditions–The Carpathian flysch. Tunnelling and Underground Space Technology, 74, 41-59.
  • [28] Ye, Z., & Zhang, C. (2020). Influence of Loose Contact between Tunnel Lining and Surrounding Rock on the Safety of the Tunnel Structure. Symmetry, 12(10), 1733.
  • [29] Kim, Y., & Bruland, A. (2015). A study on the establishment of Tunnel Contour Quality Index considering construction cost. Tunnelling and Underground Space Technology, 50, 218-225.
  • [30] Geometrical product specifications (GPS) - Surface texture: Areal - Part 2: Terms, definitions and surface texture parameters (ISO 25178-2:2012)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-64addf41-ce01-41da-9461-fc49abde0aa7
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