Application and validation of profile–image method for measuring deformation of tunnel wall

Wang, Tai‐Tien; Jaw, Jen-Jer; Chang, Yo-Ho; Jeng, Fu‐Shu

doi:10.1016/j.tust.2008.05.008

Cited by 42 publications

(24 citation statements)

References 9 publications

(14 reference statements)

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“…With reference to absolute coordinates, tunnel lining displacement can be further decomposed into translational and deformational components, providing direct and strong evidence for diagnosing causes of tunnel deformation. We recommend periodic tunnel inspections via a 3D geodetic survey with absolute coordinates on transverse cross sections spaced at intervals ≤ 0.5 m to assess tunnel displacement or, conversely, the profile-image method (Wang et al, 2009a(Wang et al, , 2009b should be adopted. Via periodic profile measurements of tunnel cross sections at small intervals, the tunnel lining can be also utilized for landslide monitoring in combination with conventional slope monitoring instruments.…”

Section: Discussion and Recommendationsmentioning

confidence: 99%

Characterizing crack patterns on tunnel linings associated with shear deformation induced by instability of neighboring slopes

Wang

2010

Engineering Geology

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Section: Discussion and Recommendationsmentioning

confidence: 99%

Characterizing crack patterns on tunnel linings associated with shear deformation induced by instability of neighboring slopes

Wang

2010

Engineering Geology

Self Cite

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“…In topography and photogrammetry, the problem is solved using specific instruments and methods (Wang et al, 2009). In the case of kinematic, photogrammetric or laser scanners, systems must be used to check the distances and turns of the sensors used, for example odometers and inertial systems (INSs) (Gräfe, 2007).…”

Section: D Acquisition Techniquesmentioning

confidence: 99%

“…In tunnels, it can be very useful to obtain elements to make management easier (Yoon et al, 2009), in geometry extraction (Gikas and Stratakos, 2012;Seo et al, 2008;Han et al, 2013), and in deformation analysis of vaults and walls (Wang et al, 2009), among other tasks.…”

Section: Laser Scanningmentioning

confidence: 99%

The use of geomatic techniques to improve the management of metro infrastructure

et al. 2017

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The management of large infrastructures requires comprehensive knowledge of their general characteristics and the elements that constitute them. It is essential to know which elements are involved and where they are located. At the same time, it is vital to understand the overall geometry. The accuracy and precision required for both types of information is different: much greater accuracy is required in the understanding of the geometry. However, it is difficult to obtain this information about underground infrastructures due to their lighting characteristics, hazards, lack of GNSS (Global Navigation Satellite System) signals, and time available. In this case, to achieve the required quality in both tasks, the mobile mapping systems that are widely used in large surveys and urban inventories have to be adapted to obtain data in underground conditions. To achieve this, considerable geodesic support is necessary. The GNSS positioning system should be replaced by IMU sensors, and infrared sensor cameras are used, among other pieces of equipment. To establish the trajectory, additional information extracted from the targets detected in the laser scanning point clouds must be used. Therefore, a laser scanning and kinematic photogrammetry survey was carried out to obtain the centimetric precision and complete information that is still used today. This paper presents an adaptation of these systems for use in the Ferrocarril Metropolità de Barcelona.

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“…These estimations are generally conducted based on sparsely sampled points that are surveyed using a total station. This approach requires a considerable amount of time and effort, although non-prism total stations are now available [1]. However, it is often difficult to survey and analyze the construction sites and tunnels that are currently in use.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is often difficult to survey and analyze the construction sites and tunnels that are currently in use. Many recent studies have discussed using digital photogrammetry to determine the internal cross sections of tunnels [1,2]. However, in many cases, it is difficult to discriminate the subjects using photography because of the restricted light sources in the poor environments and working conditions in tunnels, and it is difficult to capture the characteristics of irregular internal cross sections of tunnels.…”

Section: Introductionmentioning

confidence: 99%

Continuous Extraction of Subway Tunnel Cross Sections Based on Terrestrial Point Clouds

Zhang

Tuo³

et al. 2014

Remote Sensing

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An efficient method for the continuous extraction of subway tunnel cross sections using terrestrial point clouds is proposed. First, the continuous central axis of the tunnel is extracted using a 2D projection of the point cloud and curve fitting using the RANSAC (RANdom SAmple Consensus) algorithm, and the axis is optimized using a global extraction strategy based on segment-wise fitting. The cross-sectional planes, which are orthogonal to the central axis, are then determined for every interval. The cross-sectional points are extracted by intersecting straight lines that rotate orthogonally around the central axis within the cross-sectional plane with the tunnel point cloud. An interpolation algorithm based on quadric parametric surface fitting, using the BaySAC (Bayesian SAmpling Consensus) algorithm, is proposed to compute the cross-sectional point when it cannot be acquired directly from the tunnel points along the extraction direction of interest. Because the standard shape of the tunnel cross section is a circle, circle fitting is implemented using RANSAC to reduce the noise. The proposed approach is tested on terrestrial point clouds that cover a 150-m-long segment of a Shanghai subway tunnel, which were acquired using a LMS VZ-400 laser scanner. The results indicate that OPEN ACCESSRemote Sens. 2014, 6 858 the proposed quadric parametric surface fitting using the optimized BaySAC achieves a higher overall fitting accuracy (0.9 mm) than the accuracy (1.6 mm) obtained by the plain RANSAC. The results also show that the proposed cross section extraction algorithm can achieve high accuracy (millimeter level, which was assessed by comparing the fitted radii with the designed radius of the cross section and comparing corresponding chord lengths in different cross sections) and high efficiency (less than 3 s/section on average).

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Application and validation of profile–image method for measuring deformation of tunnel wall

Cited by 42 publications

References 9 publications

Characterizing crack patterns on tunnel linings associated with shear deformation induced by instability of neighboring slopes

Characterizing crack patterns on tunnel linings associated with shear deformation induced by instability of neighboring slopes

The use of geomatic techniques to improve the management of metro infrastructure

Continuous Extraction of Subway Tunnel Cross Sections Based on Terrestrial Point Clouds

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