An automatic and intelligent optimal surface modeling method for composite tunnel structures

authored by: Hao Yang, Xiangyang Xu, Boris Kargoll, Ingo Neumann
Abstract: Automatically modeling and intelligently monitoring composite tunnel structures is of great significance considering the development of composite and diverse tunnel construction materials. Therefore, how to efficiently analyze the deformation of all kinds of tunnel structures with its expanding application is becoming increasingly important. In this paper, we analyze the over- and under-fitting problems under different point cloud profiles to generate an automatic and robust B-spline model which is a suitable method for high accuracy approximation capable of optimizing the composite tunnel model by adjusting the parameters. The innovation of this research is that we combine the maximum likelihood function and the degree of freedom to obtain the optimal parameters model of composite tunnels, which are validated by the various profiles.
Organisation(s): Geodetic Institute
External Organisation(s): Jiangsu University of Science and Technology
Type: Article
Journal: Composite structures
Volume: 208
Pages: 702-710
No. of pages: 9
ISSN: 0263-8223
Publication date: 15.01.2019
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Ceramics and Composites, Civil and Structural Engineering
Electronic version(s): https://doi.org/10.1016/j.compstruct.2018.09.082 (Access: Closed)
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