Displacement Mapping of Point Clouds for Retaining Structure Considering Shape of Sheet Pile and Soil Fall Effects during Excavation
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 148, Issue 5
Abstract
An entire large-scale retaining structure can be monitored by simulating a three-dimensional point cloud obtained by laser scanning. The behavior of a retaining structure composed of sheet piles according to excavation was analyzed by the displacement mapping method in this paper. The displacement errors can be generated due to inclined sections, U-shaped protrusions of sheet piles and cutting point clouds, and the fall and deposition of soil adhering to the sheet pile. Therefore, the analysis error was minimized by pretreatment of the point cloud considering the shape of the sheet pile before displacement mapping. For displacement mapping, the cloud to mesh (C2M) distance was calculated by segmenting the point cloud of the retaining structure into 5 rows and 20 columns, which have about 100 elements. Analysis of seven monitoring results from Day 0 to Day 35 was performed, and the maximum displacement occurrence point and the expansion of displacement with time were evaluated by displacement mapping. In an in-depth analysis after displacement mapping, it was possible to estimate the displacement variation in the vertical direction of a pile in which the excessive displacement occurred as well as the change pattern of the displacement in the horizontal direction of the entire pile head. A crack found at the top of a sheet pile occurred due to excessive displacement, which was verified by visual inspection.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request, including point cloud data.
References
Acikgoz, S., K. Soga, and J. Woodhams. 2017. “Evaluation of the response of a vaulted masonry structure to differential settlements using point cloud data and limit analyses.” Constr. Build. Mater. 150 (Sep): 916–931. https://doi.org/10.1016/j.conbuildmat.2017.05.075.
Allen, T. M., R. J. Bathurst, and R. R. Berg. 2002. “Global level of safety and performance of geosynthetic walls: An historical perspective.” Geosynth. Int. 9 (5–6): 395–450. https://doi.org/10.1680/gein.9.0224.
Anderson, W. F., T. H. Hanna, and M. N. Abdel-Malek. 2015. “Overall stability of anchored retaining walls.” J. Geotech. Eng. 109 (11): 1416–1433. https://doi.org/10.1061/(ASCE)0733-9410(1983)109:11(1416).
Benjamim, C. V. S., B. S. Bueno, and J. G. Zornberg. 2007. “Field monitoring evaluation of geotextile-reinforced soil-retaining walls.” Geosynth. Int. 14 (2): 100–118. https://doi.org/10.1680/gein.2007.14.2.100.
Bilgin, Ö. 2010. “Numerical studies of anchored sheet pile wall behavior constructed in cut and fill conditions.” Comput. Geotech. 37 (3): 399–407. https://doi.org/10.1016/j.compgeo.2010.01.002.
Bosché, F., M. Ahmed, Y. Turkan, C. T. Haas, and R. Haas. 2015. “The value of integrating Scan to BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components.” Autom. Constr. 49 (Jan): 201–213. https://doi.org/10.1016/j.autcon.2014.05.014.
Brilakis, I., M. Lourakis, R. Sacks, S. Savarese, S. Christodoulou, J. Teizer, and A. Makhmalbaf. 2010. “Toward automated generation of parametric BIMs based on hybrid video and laser scanning data.” Adv. Eng. Inf. 24 (4): 456–465. https://doi.org/10.1016/j.aei.2010.06.006.
Brodu, N., and D. Lague. 2012. “3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology.” ISPRS J. Photogramm. Remote Sens. 68: 121–134.
Cherubini, C. 2000. “Probabilistic approach to the design of anchored sheet pile walls.” Comput. Geotech. 26 (3–4): 309–330. https://doi.org/10.1016/S0266-352X(99)00044-0.
Hain, A., and A. E. Zaghi. 2020. “Applicability of photogrammetry for inspection and monitoring of dry-stone masonry retaining walls.” Transp. Res. Rec. 2674 (9): 287–297. https://doi.org/10.1177/0361198120929184.
Han, F., R. Salgado, M. Prezzi, and J. Lim. 2017. “Shaft and base resistance of non-displacement piles in sand.” Comput. Geotech. 83 (Mar): 184–197. https://doi.org/10.1016/j.compgeo.2016.11.006.
Jiang, Y., and Y. Bai. 2020. “Estimation of construction site elevations using drone-based orthoimagery and deep learning.” J. Constr. Eng. Manage. 146 (8): 04020086 https://doi.org/10.1061/(ASCE)CO.1943-7862.0001869.
Kalenjuk, S., W. Lienhart, and M. J. Rebhan. 2021. “Processing of mobile laser scanning data for large-scale deformation monitoring of anchored retaining structures along highways.” Comput.-Aided Civ. Infrastruct. Eng. 36 (6): 678–694. https://doi.org/10.1111/mice.12656.
Lague, D., N. Brodu, and J. Leroux. 2013. “Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z).” ISPRS J. Photogramm. Remote Sens. 82 (Aug): 10–26. https://doi.org/10.1016/j.isprsjprs.2013.04.009.
Li, Y., P. Liu, H. Li, and F. Huang. 2021. “A comparison method for 3d laser point clouds in displacement change detection for arch dams.” ISPRS Int. J. Geo-Inf. 10 (3): 184. https://doi.org/10.3390/ijgi10030184.
Luo, W., J. Li, X. Ma, and W. Wei. 2020. “A novel static deformation measurement and visualization method for wind turbine blades using home-made LiDAR and processing program.” Opt. Lasers Eng. 134 (Nov): 134106206. https://doi.org/10.1016/j.optlaseng.2020.106206.
Ma, Q., Y. Tan, Z. Zhao, Q. Xu, J. Wang, and K. Ding. 2018. “Roadside support schemes numerical simulation and field monitoring of gob-side entry retaining in soft floor and hard roof.” Arabian J. Geosci. 11 (18): 563. https://doi.org/10.1007/s12517-018-3904-9.
Maguire, M., C. Roberts-Wollmann, and T. Cousins. 2018. “Live-load testing and long-term monitoring of the Varina-Enon Bridge: Investigating thermal distress.” J. Bridge Eng. 23 (3): 04018003. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001200.
Olsen, M. J., F. Kuester, B. J. Chang, and T. C. Hutchinson. 2010. “Terrestrial laser scanning-based structural damage assessment.” J. Comput. Civ. Eng. 24 (3): 264–272. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000028.
Oskouie, P., B. Becerik-Gerber, and L. Soibelman. 2016. “Automated measurement of highway retaining wall displacements using terrestrial laser scanners.” Autom. Constr. 65 (May): 86–101. https://doi.org/10.1016/j.autcon.2015.12.023.
Randall, T. 2011. “Construction engineering requirements for integrating laser scanning technology and building information modeling.” J. Constr. Eng. Manage. 137 (10): 797–805. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000322.
Riveiro, B., M. J. Dejong, and B. Conde. 2016. “Automated processing of large point clouds for structural health monitoring of masonry arch bridges.” Autom. Constr. 72 (Dec): 258–268. https://doi.org/10.1016/j.autcon.2016.02.009.
Salgado, R., P. Bandini, and A. Karim. 2000. “Shear strength and stiffness of silty sand.” J. Geotech. Geoenviron. Eng. 126 (5): 451–462. https://doi.org/10.1061/(ASCE)1090-0241(2000)126:5(451).
Salgado, R., D. Loukidis, G. Abou-Jaoude, and Y. Zhang. 2015. “The role of soil stiffness non-linearity in 1-D pile driving simulations.” Géotechnique 65 (3): 169–187. https://doi.org/10.1680/geot.13.P.124.
Scaioni, M., L. Barazzetti, A. Giussani, M. Previtali, F. Roncoroni, and M. I. Alba. 2014. “Photogrammetric techniques for monitoring tunnel deformation.” Earth Sci. Inf. 7 (2): 83–95. https://doi.org/10.1007/s12145-014-0152-8.
Seo, H. 2021. “3D roughness measurement of failure surface in CFA pile samples using three-dimensional laser scanning.” Appl. Sci. 11 (6): 2713. https://doi.org/10.3390/app11062713.
Seo, H., H. Choi, J. Park, and I. M. Lee. 2017. “Crack detection in pillars using infrared thermographic imaging.” Geotech. Test. J. 40 (3): 371–380. https://doi.org/10.1520/GTJ20150245.
Soga, K., V. Kwan, L. Pelecanos, Y. Rui, T. Schwamb, H. Seo, and M. Wilcock. 2015. “The role of distributed sensing in understanding the engineering performance of geotechnical structures.” In Proc., 16th European Conf. on Soil Mechanics and Geotechnical Engineering. London: Institution of Civil Engineers.
Tan, Y., and S. G. Paikowsky. 2008. “Performance of sheet pile wall in peat.” J. Geotech. Geoenviron. Eng. 134 (4): 445–458. https://doi.org/10.1061/(ASCE)1090-0241(2008)134:4(445).
Woo, S. I., and R. Salgado. 2015. “Bounding surface modeling of sand with consideration of fabric and its evolution during monotonic shearing.” Int. J. Solids Struct. 63 (Jun): 277–288. https://doi.org/10.1016/j.ijsolstr.2015.03.005.
Yang, H., M. Omidalizarandi, X. Xu, and I. Neumann. 2017. “Terrestrial laser scanning technology for deformation monitoring and surface modeling of arch structures.” Compos. Struct. 169 (Jun): 173–179. https://doi.org/10.1016/j.compstruct.2016.10.095.
Zhao, X., R. Salgado, and M. Prezzi. 2014. “Centrifuge modelling of combined anchors for slope stability.” Proc. Inst. Civ. Eng. Geotech. Eng. 167 (4): 357–370. https://doi.org/10.1680/geng.12.00076.
Zhao, Y., H. Seo, and C. Chen. 2021. “Displacement mapping of point clouds: Application of retaining structures composed of sheet piles.” J. Civ. Struct. Health Monit. 11 (4): 915–930. https://doi.org/10.1007/s13349-021-00491-y.
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Received: Mar 16, 2021
Accepted: Jan 25, 2022
Published online: Feb 22, 2022
Published in print: May 1, 2022
Discussion open until: Jul 22, 2022
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