Details
| Original language | English |
|---|---|
| Pages (from-to) | 591-596 |
| Number of pages | 6 |
| Journal | Composite structures |
| Volume | 184 |
| Early online date | 6 Oct 2017 |
| Publication status | Published - 15 Jan 2018 |
Abstract
How to obtain a three-dimensional (3D) model efficiently and extract the feature information of larger-scale composite structures, such as tunnels, accurately is a significant issue in the field of health monitoring. Therefore, an effective method based on TLS measurement is proposed and developed using surface-based non-destructive technology. In this paper, terrestrial laser scanning (TLS) technology is adopted to investigate the tunnel structure, focusing on the extraction of the characteristic section and central curve, which could be applied in deformation monitoring. Point cloud data from TLS measurement is processed in four steps: section extraction, section projection, calculation of central points and curve approximation. The innovation of this paper lies in the projection and iterative filtering of the ring data and rasterization of the point clouds for vertical and horizontal lines. The random sample consensus (RANSAC) algorithm is implemented to approximate the vertical and horizontal lines. The central curve, approximated from the central points, agrees with the general design model and the accuracy falls within the millimeter range.
Keywords
- Central line, Cross section, Curve approximation, Point cloud, Terrestrial laser scanning, Tunnel structure
ASJC Scopus subject areas
- Materials Science(all)
- Ceramics and Composites
- Engineering(all)
- Civil and Structural Engineering
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In: Composite structures, Vol. 184, 15.01.2018, p. 591-596.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A feature extraction method for deformation analysis of large-scale composite structures based on TLS measurement
AU - Xu, Xiangyang
AU - Yang, Hao
AU - Neumann, Ingo
N1 - Funding Information: The authors of this paper are supported by Deutsche Forschungsgemeinschaft . The authors also would like to acknowledge the support of Natural Science Foundation of Jiangsu Province (No: BK20160558 ). The authors wish to acknowledge the support of all the colleagues in Geodetic Institute of Leibniz University Hanover for their valid information and help.
PY - 2018/1/15
Y1 - 2018/1/15
N2 - How to obtain a three-dimensional (3D) model efficiently and extract the feature information of larger-scale composite structures, such as tunnels, accurately is a significant issue in the field of health monitoring. Therefore, an effective method based on TLS measurement is proposed and developed using surface-based non-destructive technology. In this paper, terrestrial laser scanning (TLS) technology is adopted to investigate the tunnel structure, focusing on the extraction of the characteristic section and central curve, which could be applied in deformation monitoring. Point cloud data from TLS measurement is processed in four steps: section extraction, section projection, calculation of central points and curve approximation. The innovation of this paper lies in the projection and iterative filtering of the ring data and rasterization of the point clouds for vertical and horizontal lines. The random sample consensus (RANSAC) algorithm is implemented to approximate the vertical and horizontal lines. The central curve, approximated from the central points, agrees with the general design model and the accuracy falls within the millimeter range.
AB - How to obtain a three-dimensional (3D) model efficiently and extract the feature information of larger-scale composite structures, such as tunnels, accurately is a significant issue in the field of health monitoring. Therefore, an effective method based on TLS measurement is proposed and developed using surface-based non-destructive technology. In this paper, terrestrial laser scanning (TLS) technology is adopted to investigate the tunnel structure, focusing on the extraction of the characteristic section and central curve, which could be applied in deformation monitoring. Point cloud data from TLS measurement is processed in four steps: section extraction, section projection, calculation of central points and curve approximation. The innovation of this paper lies in the projection and iterative filtering of the ring data and rasterization of the point clouds for vertical and horizontal lines. The random sample consensus (RANSAC) algorithm is implemented to approximate the vertical and horizontal lines. The central curve, approximated from the central points, agrees with the general design model and the accuracy falls within the millimeter range.
KW - Central line
KW - Cross section
KW - Curve approximation
KW - Point cloud
KW - Terrestrial laser scanning
KW - Tunnel structure
UR - http://www.scopus.com/inward/record.url?scp=85031764765&partnerID=8YFLogxK
U2 - 10.1016/j.compstruct.2017.09.087
DO - 10.1016/j.compstruct.2017.09.087
M3 - Article
AN - SCOPUS:85031764765
VL - 184
SP - 591
EP - 596
JO - Composite structures
JF - Composite structures
SN - 0263-8223
ER -