Methodology for the ovalization monitoring of newly built circular train tunnels based on laser scanning: Liefkenshoek Rail Link (Belgium)

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

doi:10.1016/j.autcon.2014.02.017

Cited by 74 publications

(47 citation statements)

References 19 publications

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“…Argüelles-Fraga et al [30] discussed the impact factors of the laser scan process and recommended to set the TLS equipment at the centre of the tunnel to increase the incidence angle. Many application reports of TLS in tunneling and caves can be found in the literature [31][32][33] With regards to its application in mining, Ghabraie et al [34] used the TLS to study the strata mechanics behavior during earth source extraction in laboratory, and developed a physical modelling protocol for equivalent materials methodology. On the field scale, Lian and Hu [35] used TLS to evaluate the stability of surface high-voltage towers at different mining periods.…”

Section: Application Of Tls In Deformation Monitoringmentioning

confidence: 99%

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Yang¹,

Zhang²,

Liu³

et al. 2017

Preprint

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Abstract:The deformation of underground gateroads tends to be asymmetric and complex. Traditional instrumentation fails to accurately and conveniently monitor the full cross-sectional deformation of underground gateroads. Here, a full cross-sectional laser scanner was developed together with a visualization software package. The developed system used polar coordinate measuring method and the full cross-sectional measurement was realized by 360° rotation of laser sensor driven by an electrical motor. Later on, the potential impact of gateroad wall flatness, roughness and geometrical profile as well as coal dust environment on the performance of the developed laser scanner were evaluated. The studies show that a high-level flatness is favorable in application of the developed full cross-sectional deformation monitoring system. For a smooth surface of gateroad, the sensor cannot receive reflected light when the incidence angle of laser beam is large, causing data loss. Conversely, the roughness surface shows its priority as the diffuse reflection light can be received by the sensor. With regards to the coal dust in measurement environment, the fine particles of floating coal dust in the air can lead to the loss of measurement data to some certain due to scattering of laser beam.

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Section: Application Of Tls In Deformation Monitoringmentioning

confidence: 99%

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Yang¹,

Zhang²,

Liu³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…So the proposed processing method chooses the radial deformation as the monitor indicator to reflect the safety condition of tunnel structure. Timothy et al [18] calculated the algebraic deviations and mean absolute error and root mean square error between the measured radius value and the design radius to assess the condition of tunnels.…”

Section: Extraction Of Circle Tunnel Deformationmentioning

confidence: 99%

“…Timothy Nuttens et al [18] observed the differences between average radius values during the first three months after construction of a circular tunnel structure. But the authors manually processed the data; it wasn't automatic.…”

Section: Introductionmentioning

confidence: 99%

Automatic Processing Method for Deformation Monitoring of Circle Tunnels Based on 3D LiDAR Data

Xie¹,

Zhao²,

He³

et al. 2018

Preprint

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Abstract:The application of 3D LiDAR technology has become increasingly extensive in tunnel monitoring due to the large density and high accuracy of the acquired spatial data. The proposed processing method aims at circle tunnels and provides a clear workflow to automatically process raw point data and easily interpretable results to analyze tunnel health state. The proposed automatic processing method employs a series of algorithms to extract point cloud of a single tunnel segment without obvious noise from entire raw tunnel point cloud mainly by three steps: axis acquisition, segments extraction and denoising. Tunnel axis is extracted by fitting boundaries of the tunnel point cloud rejection in plane with RANSAC algorithm. With guidance of axis, the entire preprocessed tunnel point cloud is segmented by equal division to get a section of tunnel point cloud which corresponds to a single tunnel segment. Then the noise in every single point cloud segment is removed by clustering algorithm twice, based on distance and intensity. Finally, clean point clouds of tunnel segments are processed by effective deformation extraction processor to get ovality and three-dimensional deformation nephogram.

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“…(Lindenbergh and Pfeifer, 2005;Monserrat and Crosetto, 2008;Abellán et al, 2009). Monitoring of railway infrastructure, such as newly constructed tunnels, using TLS has also introduced the development of tunnel deformation analysis techniques (van Goslgia et al, 2006;Nuttens et al, 2014).…”

Section: Related Workmentioning

confidence: 99%

Extracting Rail Track Geometry from Static Terrestrial Laser Scans for Monitoring Purposes

Soni

Robson

Gleeson

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper presents the capabilities of detecting relevant geometry of railway track for monitoring purposes from static terrestrial laser scanning (TLS) systems at platform level. The quality of the scans from a phased based scanner (Scanner A) and a hybrid timeof-flight scanner (Scanner B) are compared by fitting different sections of the track profile to its matching standardised rail model. The various sections of track investigated are able to fit to the model with an RMS of less than 3mm. Both scanners show that once obvious noise and artefacts have been removed from the data, the most confident fit of the point cloud to the model is the section closest to the scanner position. The results of the fit highlight the potential to use this method as a bespoke track monitoring tool during major redevelopment projects where traditional methods, such as robotic total stations, results in missed information, for example due to passing trains or knocked prisms and must account for offset target locations to compute track parameters.

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Methodology for the ovalization monitoring of newly built circular train tunnels based on laser scanning: Liefkenshoek Rail Link (Belgium)

Cited by 74 publications

References 19 publications

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Automatic Processing Method for Deformation Monitoring of Circle Tunnels Based on 3D LiDAR Data

Extracting Rail Track Geometry from Static Terrestrial Laser Scans for Monitoring Purposes

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