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Bulletin of Engineering Geology and the Environment

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19-08-2020 | Original Paper

Formation mechanism and risk assessment of unstable rock mass at the Yumenkou tunnel entrance, Shanxi province, China

Authors: Zhong Fu Wang, Si Ming He, Han Dong Liu, Dong Dong Li

Published in: Bulletin of Engineering Geology and the Environment | Issue 2/2021

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Abstract

The Yumenkou tunnel is located on the left bank of the Yellow River on the border between Shanxi and Shaanxi provinces, China. It is connected to the Longmen Yellow River Bridge of the Menghua railway. Many unstable rock masses have developed on the cliff above the tunnel entrance, threatening the construction and operation of the tunnel and the bridge. Based on a high-precision three-dimensional (3D) digital terrain model obtained by unmanned air vehicle (UAV) photogrammetry, information of the structural surface which controls the stability of the rock mass in the study area was obtained by manual identification and extraction. We combined the UAV imaging with field survey data to obtain the spatial distribution, shape, scale, and potential failure modes of the unstable rock masses. A 3D numerical model of the unstable rock mass and surface morphology was constructed using a 3D discrete element method. The 3D path and impact energy of the moving unstable rock mass were analyzed. Based on the lithology, topography, structural surface, and other factors, three types of potential rock failure modes were identified in the study area: sliding, toppling, and falling. Differential weathering and the structure plane and stress-unloading cracks are two main factors affecting the stability of the unstable rock mass. According to the result of 3D discrete element method, once the unstable rock masses fail, about 50% of which might hit the portal of the tunnel, and the maximum rebound height at the portal would be about 1.2 m. To prevent such catastrophic failure, active protective net was recommend at each unstable rock zone, and retaining wall with a height of 5 m behind the portal. The results of this study confirm the effectiveness of a UAV photogrammetry-based method for reliable and cost-effective engineering geological surveying of unstable rock mass in complex terrain.

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Bellian JA, Kerans C, Jennette DC (2005) Digital outcrop models: applications of terrestrial scanning lidar technology in stratigraphic modeling. J Sediment Res 75(2):166–176CrossRef

Bemis SP, Micklethwaite S, Turner D et al (2014) Ground-based and UAV-based photogrammetry: a multi-scale, high-resolution mapping tool for structural geology and paleoseismology. J Struct Geol 69(2014):163–178CrossRef

Buyer A, Schubert W (2017) Calculation the spacing of discontinuities from 3D point clouds. Procedia Eng 191:270–278CrossRef

Cawood AJ, Bond CE, Howell JA et al (2017) LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models. J Struct Geol 98(2017):67–82. https://doi.org/10.1016/j.jsg.2017.04.004CrossRef

Chen J, Zhu H, Li X (2016) Automatic extraction of discontinuity orientation from rock mass surface 3D point cloud. Comput Geosci 95:18–31. https://doi.org/10.1016/j.cageo.2016.06.015CrossRef

Chesley JT, Leier AL, White S et al (2017) Using unmanned aerial vehicles and structure-from-motion photogrammetry to characterize sedimentary outcrops: an example from the Morrison formation, Utah, USA. Sediment Geol 354(2017):1–8. https://doi.org/10.1016/j.sedgeo.2017.03.013CrossRef

Cundall PA, Strack OD (1979) A discrete numerical model for granular assemblies. Geotechnique 29(1):47–65. https://doi.org/10.1680/geot.1979.29.1.47CrossRef

Fanti R, Gigli G, Lombardi L et al (2013) Terrestrial laser scanning for rockfall stability analysis in the cultural heritage site of Pitigliano (Italy). Landslides 10(4):409–420. https://doi.org/10.1007/s10346-012-0329-5CrossRef

Fekete S, Diederichs M (2013) Integration of three-dimensional laser scanning with discontinuum modelling for stability analysis of tunnels in blocky rockmasses. Int J Rock Mech Min Sci 57(1):11–23CrossRef

Fekete S, Diederichs M, Lato M (2010) Geotechnical and operational applications for 3-dimensional laser scanning in drill and blast tunnels. Tunn Undergr Space Technol 25(5):614–628CrossRef

Fisher JE, Shakoor A, Watts CF (2014) Comparing discontinuity orientation data collected by terrestrial LiDAR and transit compass methods. Eng Geol 181:78–92. https://doi.org/10.1016/j.enggeo.2014.08.014CrossRef

Giani GP (1992) Rock slope stability analysis. A. A. Balkema, Rotterdam, p 361

Gigli G, Casagli N (2011) Semi-automatic extraction of rock mass structural data from high resolution LIDAR point clouds. Int J Rock Mech Min Sci 48(2):187–198. https://doi.org/10.1016/j.ijrmms.2010.11.009CrossRef

Gomes RK, de Oliveira LP, Gonzaga L Jr et al (2016) An algorithm for automatic detection and orientation estimation of planar structures in LiDAR-scanned outcrops. Comput Geosci 90(2016):170–178CrossRef

Guo J, Liu S, Zhang P et al (2017) Towards semi-automatic rock mass discontinuity orientation and set analysis from 3D point clouds[J]. Comput Geosci 103(2017):164–172CrossRef

Hungr O (1995) A model for the runout analysis of rapid flow slides, debris flows, and avalanches. Can Geotech J 32(4):610–623. https://doi.org/10.1139/t95-063CrossRef

Itasca C (1999) PFC 3D-User manual. Itasca Consulting Group, Minneapolis

Liu HD, Li DD, Wang ZF (2018) Dynamic process of the Wenjiagou rock landslide in Sichuan Province, China. Arab J Geosci 11(10):1–19. https://doi.org/10.1007/s12517-018-3564-9CrossRef

Lo C-M, Lin M-L, Tang C-L et al (2011) A kinematic model of the Hsiaolin landslide calibrated to the morphology of the landslide deposit. Eng Geol 123:22–39. https://doi.org/10.1016/j.enggeo.2011.07.002CrossRef

Lu CY, Tang CL, Chan YC et al (2014) Forecasting landslide hazard by the 3D discrete element method: a case study of the unstable slope in the Lushan hot spring district, central Taiwan. Eng Geol 183(31):14–30CrossRef

Menegoni N, Giordan D, Perotti C et al (2019) Detection and geometric characterization of rock mass discontinuities using a 3D high-resolution digital outcrop model generated from RPAS imagery–Ormea rock slope, Italy. Eng Geol 252(2019):145–163CrossRef

Nex F, Remondino F (2014) UAV for 3D mapping applications: a review vol 6. https://doi.org/10.1007/s12518-013-0120-x

Poisel R, Preh A (2008) 3D landslide run out modelling using the particle flow code PFC3D. In: International Conference on landslide and Engineering Slope

Riquelme AJ, Abellán A, Tomás R (2015) Discontinuity spacing analysis in rock masses using 3D point clouds. Eng Geol 195:185–195CrossRef

Salvini R, Mastrorocco G, Seddaiu M et al (2017) The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling. Geomat Nat Haz Risk 8(1):34–52. https://doi.org/10.1080/19475705.2016.1199053CrossRef

Scaringi G, Fan X, Xu Q et al (2018) Some considerations on the use of numerical methods to simulate past landslides and possible new failures: the case of the recent Xinmo landslide (Sichuan, China). Landslides 15(7):1359–1375. https://doi.org/10.1007/s10346-018-0953-9CrossRef

Slob S, Hack R, van Knapen B et al (2004) Automated identification and characterization of discontinuity sets in outcropping rock masses using 3D terrestrial laser scan survey techniques. In: Proceedings of the ISRM regional symposium Eurock, 2004. pp 439–443

Spreafico MC, Francioni M, Cervi F et al (2016) Back analysis of the 2014 San Leo landslide using combined terrestrial laser scanning and 3D distinct element modelling. Rock Mech Rock Eng 49(6):2235–2251CrossRef

Sturzenegger M, Stead D (2009) Close-range terrestrial digital photogrammetry and terrestrial laser scanning for discontinuity characterization on rock cuts. Eng Geol 106:163–182CrossRef

Su O, Akcin NA (2011) Numerical simulation of rock cutting using the discrete element method. Int J Rock Mech Min Sci 48(3):434–442CrossRef

Tang CL, Hu JC, Lin ML et al (2009) The Tsaoling landslide triggered by the Chi-Chi earthquake, Taiwan: insights from a discrete element simulation. Eng Geol 106(2009):1–19CrossRef

Tannant D, Giordan D, Morgenroth J (2017) Characterization and analysis of a translational rockslide on a stepped-planar slip surface. Eng Geol 220:144–151CrossRef

Turner D, Lucieer A, Wallace L (2014) Direct georeferencing of ultrahigh-resolution UAV imagery. IEEE Trans Geosci Remote Sens 52(5):2738–2745CrossRef

Vöge M, Lato MJ, Diederichs MS (2013) Automated rockmass discontinuity mapping from 3-dimensional surface data. Eng Geol 164:155–162. https://doi.org/10.1016/j.enggeo.2013.07.008CrossRef

Xiu-jun Dong (2007) Application of 3D laser scanning technology to obtain high precision DTM [J]. Journal of Engineering Geology 03:428-432

Zhang P, Du K, Tannant DD et al (2018) Automated method for extracting and analysing the rock discontinuities from point clouds based on digital surface model of rock mass. Eng Geol 239(2018):109–118CrossRef

Zhou GGD, Sun QC (2013) Three-dimensional numerical study on flow regimes of dry granular flows by DEM. Powder Technol 239:115–127. https://doi.org/10.1016/j.powtec.2013.01.057CrossRef

Title: Formation mechanism and risk assessment of unstable rock mass at the Yumenkou tunnel entrance, Shanxi province, China
Authors: Zhong Fu Wang
Si Ming He
Han Dong Liu
Dong Dong Li
Publication date: 19-08-2020
Publisher: Springer Berlin Heidelberg
Published in: Bulletin of Engineering Geology and the Environment / Issue 2/2021
Print ISSN: 1435-9529
Electronic ISSN: 1435-9537
DOI: https://doi.org/10.1007/s10064-020-01953-1

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