Details
| Original language | English |
|---|---|
| Pages (from-to) | 814-820 |
| Number of pages | 7 |
| Journal | Composite structures |
| Volume | 184 |
| Publication status | Published - 15 Jan 2018 |
Abstract
With the development of city constructions, tunnels are becoming important structures for underground transportation. Tunnels constitute layered composite structures with concrete, reinforcement, waterproof layers, etc. Deformation monitoring of this kind of wide-ranging composite structure is significant to assure their safety considering the development of their complexity. Terrestrial laser scanning (TLS) is one of the most accurate and fast measurement technologies for deformation analysis. It has been applied widely in survey fields with the advantages of non-contact and panoramic acquisition of information. In this situation, TLS instruments are being developed rapidly, which necessitates high requirements regarding software aspects, especially concerning high-accuracy model construction. Therefore, developing a reliable method for 3D modeling with complex and massive point clouds is urgent. In this paper, we propose an adaptive expectation maximization (EM) method based on the scaled t-distribution for B-spline estimation, where automation is achieved for the best approximation with the maximum probability density. The innovation of this paper lies in offering a robust, automatic and time-efficient solution to model practical tunnel structures with a complex point cloud.
Keywords
- B-spline approximation, EM algorithm, Point cloud, Probability density, Robust estimation, Terrestrial laser scanning, Tunnel structure
ASJC Scopus subject areas
- Materials Science(all)
- Ceramics and Composites
- Engineering(all)
- Civil and Structural Engineering
Sustainable Development Goals
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In: Composite structures, Vol. 184, 15.01.2018, p. 814-820.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - TLS-based profile model analysis of major composite structures with robust B-spline method
AU - Xu, Xiangyang
AU - Kargoll, Boris
AU - Bureick, Johannes
AU - Yang, Hao
AU - Alkhatib, Hamza
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 - With the development of city constructions, tunnels are becoming important structures for underground transportation. Tunnels constitute layered composite structures with concrete, reinforcement, waterproof layers, etc. Deformation monitoring of this kind of wide-ranging composite structure is significant to assure their safety considering the development of their complexity. Terrestrial laser scanning (TLS) is one of the most accurate and fast measurement technologies for deformation analysis. It has been applied widely in survey fields with the advantages of non-contact and panoramic acquisition of information. In this situation, TLS instruments are being developed rapidly, which necessitates high requirements regarding software aspects, especially concerning high-accuracy model construction. Therefore, developing a reliable method for 3D modeling with complex and massive point clouds is urgent. In this paper, we propose an adaptive expectation maximization (EM) method based on the scaled t-distribution for B-spline estimation, where automation is achieved for the best approximation with the maximum probability density. The innovation of this paper lies in offering a robust, automatic and time-efficient solution to model practical tunnel structures with a complex point cloud.
AB - With the development of city constructions, tunnels are becoming important structures for underground transportation. Tunnels constitute layered composite structures with concrete, reinforcement, waterproof layers, etc. Deformation monitoring of this kind of wide-ranging composite structure is significant to assure their safety considering the development of their complexity. Terrestrial laser scanning (TLS) is one of the most accurate and fast measurement technologies for deformation analysis. It has been applied widely in survey fields with the advantages of non-contact and panoramic acquisition of information. In this situation, TLS instruments are being developed rapidly, which necessitates high requirements regarding software aspects, especially concerning high-accuracy model construction. Therefore, developing a reliable method for 3D modeling with complex and massive point clouds is urgent. In this paper, we propose an adaptive expectation maximization (EM) method based on the scaled t-distribution for B-spline estimation, where automation is achieved for the best approximation with the maximum probability density. The innovation of this paper lies in offering a robust, automatic and time-efficient solution to model practical tunnel structures with a complex point cloud.
KW - B-spline approximation
KW - EM algorithm
KW - Point cloud
KW - Probability density
KW - Robust estimation
KW - Terrestrial laser scanning
KW - Tunnel structure
UR - http://www.scopus.com/inward/record.url?scp=85032305066&partnerID=8YFLogxK
U2 - 10.1016/j.compstruct.2017.10.057
DO - 10.1016/j.compstruct.2017.10.057
M3 - Article
AN - SCOPUS:85032305066
VL - 184
SP - 814
EP - 820
JO - Composite structures
JF - Composite structures
SN - 0263-8223
ER -