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)
