Terrestrial laser scanning as a key element in the integrated monitoring of tidal influences on a twin‐tube concrete tunnel

Nuttens, Timothy; Stal, Cornelis; Backer, Hans De; Schotte, Ken; Bogaert, Philippe Van; Detry, Pierre; Wulf, Alain De

doi:10.1111/phor.12080

Cited by 13 publications

(4 citation statements)

References 22 publications

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“…During operative process of work high level of optimization of field and laboratory workflow has been achieved. Ultimately it is important to remind, that one epoch measurement provided valuable input data for many engineering spatial parameters interpretations [1,2,3,5,6].…”

Section: Discussionmentioning

confidence: 99%

The Usability of Terrestrial 3D Laser Scanning Technology for Tunnel Clearance Analysis Application

Novaković¹,

Lazar²,

Kovačič³

et al. 2014

AMM

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After building underground constructions, spatial parameters monitoring is essential due to safety and statuary reasons. Therefore after completion of work in tunnels often supervision projects follow which include cross sections measurements, as well as ground and secondary wall layer deformations monitoring during consolidation era. Conventional approaches to achieve this type of documentations are different, however their downside is often that they are time consuming and even with combination of independent contractors, collected data is often deficient and corrupted with rough interpolations. Terrestrial 3D laser scanning (TLS) represents alternative approach to conventional monitoring methods [1]. With engineer planning approach, field work and data interpretation, TLS technology allows systematical and fast acquisition of shape and spatial orientation of complex objects and all their components. In case of shorter railway tunnels (up to 360 m) data for clearance analysis in correlation of standard cargo and tunnel surface, was captured with terrestrial 3D laser scanning method. Control of tunnel clearance is usually performed analogously and on conventional low equidistant cross section survey method. Considering that in this article we deal with relative old tunnels, in which there is no constant transversal profile but huge amount of geometric anomalies, simulation verification could be performed only with hi-grid definition survey method. With TLS larger amount of tunnels were measured and clearance analysis simulations for real case of standard cargo profile was made, based on radius and railway inclination of the tunnel. Standard or non-standard cargo transport planning with computer simulation now can be done in relatively short time. In this article is presented integration of TLS in case study of short railway tunnels with focus on clearance analysis applications with interactive and user friendly visualization for data interpretation. Other methods for different spatial parameters interpretations in underground constructions are presented as well.

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Section: Discussionmentioning

confidence: 99%

The Usability of Terrestrial 3D Laser Scanning Technology for Tunnel Clearance Analysis Application

Novaković¹,

Lazar²,

Kovačič³

et al. 2014

AMM

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“…Walton et al [ 21 ] employed the geometric genetic algorithm proposed by Ray and Srivastava [ 22 ] in tunnel deformation analysis. Nuttens et al [ 23 , 24 , 25 ] employed a TLS system to inspect the deformation of a tunnel from immediately after placement until three months after construction; investigate a tunnel’s deformation under the influence of estuarine tides; and monitor the ovalization of a tunnel, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

Automated As-Built Model Generation of Subway Tunnels from Mobile LiDAR Data

Arastounia

2016

Sensors

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This study proposes fully-automated methods for as-built model generation of subway tunnels employing mobile Light Detection and Ranging (LiDAR) data. The employed dataset is acquired by a Velodyne HDL 32E and covers 155 m of a subway tunnel containing six million points. First, the tunnel’s main axis and cross sections are extracted. Next, a preliminary model is created by fitting an ellipse to each extracted cross section. The model is refined by employing residual analysis and Baarda’s data snooping method to eliminate outliers. The final model is then generated by applying least squares adjustment to outlier-free data. The obtained results indicate that the tunnel’s main axis and 1551 cross sections at 0.1 m intervals are successfully extracted. Cross sections have an average semi-major axis of 7.8508 m with a standard deviation of 0.2 mm and semi-minor axis of 7.7509 m with a standard deviation of 0.1 mm. The average normal distance of points from the constructed model (average absolute error) is also 0.012 m. The developed algorithm is applicable to tunnels with any horizontal orientation and degree of curvature since it makes no assumptions, nor does it use any a priori knowledge regarding the tunnel’s curvature and horizontal orientation.

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“…Three-dimensional laser scanners have gained popularity owing to their data acquisition speed and degree of automation [1][2][3]. The three-dimensional laser scanning method, which has the advantages of high precision, high density, and high efficiency for data collection [4][5][6], has wide application in tunnel engineering and is gradually replacing traditional tunnel monitoring methods [7,8]. At present, research on three-dimensional laser scanning technology for tunnel monitoring includes direct analysis based on scanning point clouds and indirect analysis for the centerline and cross-section of the tunnel, which was initially constructed based on the scanning point clouds.…”

Section: Introductionmentioning

confidence: 99%

Automatic extraction of tunnel centerline and cross-sections from 3D point clouds

Yu¹,

Lv²,

Mao³

et al. 2022

Eng. Res. Express

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An automatic data extraction method for a tunnel centerline and cross-section is proposed based on the three-dimensional laser scanning data of the tunnel space. A k-dimensional tree index is first constructed based on the horizontal projection of the tunnel point clouds, and then a series of seed points is selected as the center of several neighborhood point sets with different radii; the difference set region, which will be used to calculate the tunnel horizontal centerline point based on the convex hull operation, is obtained. Then, according to the horizontal centerline, the cross-section of the tunnel point clouds is extracted and fitted to obtain the tunnel cross-section parameters and three-dimensional centerline. Based on the design values of the three-dimensional centerline and tunnel radius, the overall model of the tunnel can be constructed and applied to the visual analysis of tunnel deformation. The experimental results show that the proposed method can accurately obtain the tunnel centerline and cross-section parameters, with a minimal 0.011-cm error for the extraction of the horizontal centerline. The proposed tunnel model could simulate the undulation of the tunnel surface well and provide reference values for similar cases.

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Terrestrial laser scanning as a key element in the integrated monitoring of tidal influences on a twin‐tube concrete tunnel

Cited by 13 publications

References 22 publications

The Usability of Terrestrial 3D Laser Scanning Technology for Tunnel Clearance Analysis Application

The Usability of Terrestrial 3D Laser Scanning Technology for Tunnel Clearance Analysis Application

Automated As-Built Model Generation of Subway Tunnels from Mobile LiDAR Data

Automatic extraction of tunnel centerline and cross-sections from 3D point clouds

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