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

verfasst von
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.

Organisationseinheit(en)
Geodätisches Institut
Externe Organisation(en)
Jiangsu University of Science and Technology (JUST)
Typ
Artikel
Journal
Composite structures
Band
208
Seiten
702-710
Anzahl der Seiten
9
ISSN
0263-8223
Publikationsdatum
15.01.2019
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Keramische und Verbundwerkstoffe, Tief- und Ingenieurbau
Elektronische Version(en)
https://doi.org/10.1016/j.compstruct.2018.09.082 (Zugang: Geschlossen)
 

Details im Forschungsportal „Research@Leibniz University“