Details
| Original language | English |
|---|---|
| Article number | 111000 |
| Journal | Composite Structures |
| Volume | 224 |
| Early online date | 23 May 2019 |
| Publication status | Published - 15 Sept 2019 |
Abstract
High-accuracy deformation analysis of composite structures is an important topic in the field of civil engineering and increasing attention is given to geometry-based analytical model, such as B-splines where the determination of the parameter values has a great influence on the accuracy of the B-spline approximation. In this paper, B-spline approximation is carried out with point cloud data of an arch structure obtained with terrestrial laser scanner (TLS)and the parameter control point is investigated with the aid of laser tracker (LT)and corner cube reflectors (CCRs). We focused on the discussion about the influence factors of the optimal parameters, such as CCR uncertainty, curvature of object, and order of the B-spline. The innovation of this paper is that we adopt LT to optimize the parameters of B-spline fitting, and the results are compared and verified by Bayesian information criterion.
Keywords
- B-spline approximation, Bayesian information criterion, Multi-sensor technology, Point cloud data, Terrestrial laser scanning
ASJC Scopus subject areas
- Materials Science(all)
- Ceramics and Composites
- Engineering(all)
- Civil and Structural Engineering
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In: Composite Structures, Vol. 224, 111000, 15.09.2019.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Multi-sensor technology for B-spline modelling and deformation analysis of composite structures
AU - Yang, Hao
AU - Xu, Xiangyang
N1 - Funding information: The publication of this article was funded by the Open Access Fund of the Leibniz Universitaet Hannover and also supported by Natural Science Foundation of Jiangsu Province (no. BK20160558 ).
PY - 2019/9/15
Y1 - 2019/9/15
N2 - High-accuracy deformation analysis of composite structures is an important topic in the field of civil engineering and increasing attention is given to geometry-based analytical model, such as B-splines where the determination of the parameter values has a great influence on the accuracy of the B-spline approximation. In this paper, B-spline approximation is carried out with point cloud data of an arch structure obtained with terrestrial laser scanner (TLS)and the parameter control point is investigated with the aid of laser tracker (LT)and corner cube reflectors (CCRs). We focused on the discussion about the influence factors of the optimal parameters, such as CCR uncertainty, curvature of object, and order of the B-spline. The innovation of this paper is that we adopt LT to optimize the parameters of B-spline fitting, and the results are compared and verified by Bayesian information criterion.
AB - High-accuracy deformation analysis of composite structures is an important topic in the field of civil engineering and increasing attention is given to geometry-based analytical model, such as B-splines where the determination of the parameter values has a great influence on the accuracy of the B-spline approximation. In this paper, B-spline approximation is carried out with point cloud data of an arch structure obtained with terrestrial laser scanner (TLS)and the parameter control point is investigated with the aid of laser tracker (LT)and corner cube reflectors (CCRs). We focused on the discussion about the influence factors of the optimal parameters, such as CCR uncertainty, curvature of object, and order of the B-spline. The innovation of this paper is that we adopt LT to optimize the parameters of B-spline fitting, and the results are compared and verified by Bayesian information criterion.
KW - B-spline approximation
KW - Bayesian information criterion
KW - Multi-sensor technology
KW - Point cloud data
KW - Terrestrial laser scanning
UR - http://www.scopus.com/inward/record.url?scp=85066447947&partnerID=8YFLogxK
U2 - 10.1016/j.compstruct.2019.111000
DO - 10.1016/j.compstruct.2019.111000
M3 - Article
AN - SCOPUS:85066447947
VL - 224
JO - Composite Structures
JF - Composite Structures
SN - 0263-8223
M1 - 111000
ER -