Canal Reach Deformation Monitoring Technology Based on Terrestrial LIDAR Scanning Technology

Abstract:

Canal reach soil of the south to north water transfer project has a certain expansibility. Concrete lining plates is puring on the soil. After about half a year of water immersion test, a certain plastic deformation has happened on the lining plates because of the expansion in the soil. In order to monitoring the whole lining plates deformation pre and post water immersion test, point clouds is collected by Terrestrial LIDAR and total station. After constructing of triangular mesh and endowing the specific color, the two group of mesh can be overlapping displayed. Deformation area can be found easily by color distortion on superposition chart. And then deformation tendency is concluded.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 4175-4179
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.4175
• Online since: November 2011
• Authors: Jun Liang, Xian Quan Han, Bo Hu, Yong Tan
• Keywords: Canal Reach, Deformation Monitoring, Ground LIDAR, Point Cloud

References

[1] Kayen, Robert, Bays. Ground-LIDAR visualization of surface and structural deformations of the niigata ken chuetsu. Earthquake Spectra, (22): (2005), pp.147-162.

DOI: 10.1193/1.2173020

[2] Stuart Gordon, Derek Lichti, Mike Stewart. Application of a High-Resolution, Ground-Based Laser Scanner for Deformation Measurements. The 10th FIG International Symposium on Deformation measurements. (2001), pp.19-22 March Orange, California, USA.

[3] Thomas A. WUNDERLICH. Terrestrial Laser Scanning-an Important Step towards Construction Information. FIG Working Week Paris, France, April (2003. ), pp.13-17.

[4] Derek D. Lichti, Stuart J. Gordon. Error Propagation in Diredtly georeferenced Terrestrial Laser Scanner Point Clouds for Cultural Heritage Recording. FIG Working weep 2004. Athens, Greece, May (2004), pp.22-27.

[5] Thorsten SCHULZ, Hilmar INGENSAND. Terrestrial Laser Scanning-Inverstigations and Applications for High Precision Scanning. FIG Working Week. Athens, Greece (2004), pp.22-27.

[6] Novaes, A.G., de Cursi, J.E.S., Silva, A.L. and Souza, J.C. Solving Continuous Location-Districting Problems with Voronoi Diagrams, paper submitted for publication, Computers & Operations Research. (2007).

DOI: 10.1016/j.cor.2007.07.004

[7] Okabe, A., Boots, B., Sugihara, K. and Chiu, S. N., Spatial tessellations: concepts and applications of Voronoi diagrams. Second edn, John Wiley & Sons Ltd., Chichester. With a foreword by D. G. Kendall. (2000).

DOI: 10.1002/bimj.4710360203

[8] BOOTS, B., and SHIODE, N., Recursive Voronoi diagrams, Environment and Planning B: Planning and Design, 30, (2003), pp.113-124.

DOI: 10.1068/b12984

[9] OKABE, A., BOOTS, B., SUGIHARA, K., and CHIU, S.N., Spatial Tessellations: Concepts and Applications of Voronoi Diagrams. Second edn. (Chichester: John Wiley & Sons). (2000).

DOI: 10.1002/bimj.4710360203