Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2095-2449
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment ; volume:16 ; number:2 ; day:29 ; month:3 ; year:2022 ; pages:214-223 ; date:2.2022
Frontiers of structural and civil engineering ; 16, Heft 2 (29.3.2022), 214-223, 2.2022
- Creator
-
Chiaia, Bernardino
Marasco, Giulia
Aiello, Salvatore
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s11709-021-0800-2
- URN
-
urn:nbn:de:101:1-2022070909235145559875
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Chiaia, Bernardino
- Marasco, Giulia
- Aiello, Salvatore
- SpringerLink (Online service)
Other Objects (12)
Multilevel modeling of fiber-reinforced concrete and application to numerical simulations of tunnel lining segments
Multilevel modeling of fiber-reinforced concrete and application to numerical simulations of tunnel lining segments
A variationally consistent hyperstatic reaction method for tunnel lining design
Kanalsanierung : Langrohr-Lining, Kurzrohr-Lining, verformte Rohre
Lightweight defect detection algorithm of tunnel lining based on knowledge distillation
Accurate estimation of concrete consumption in tunnel lining using terrestrial laser scanning
A highly efficient tunnel lining crack detection model based on Mini-Unet
Designing Tunnel Lining in Anhydritic Claystones. Intensity and Distribution of Swelling Forces
Model test study on the mechanical response of the deep buried tunnel lining
Three-dimensional numerical study of the reactive powder concrete segments in tunnel lining
Dubin-Haskell Lining Corp.
Gewerkenbuch der Gewerkschaft "Lining"
Multilevel modeling of fiber-reinforced concrete and application to numerical simulations of tunnel lining segments
Multilevel modeling of fiber-reinforced concrete and application to numerical simulations of tunnel lining segments
A variationally consistent hyperstatic reaction method for tunnel lining design
Kanalsanierung : Langrohr-Lining, Kurzrohr-Lining, verformte Rohre
Lightweight defect detection algorithm of tunnel lining based on knowledge distillation
Accurate estimation of concrete consumption in tunnel lining using terrestrial laser scanning
A highly efficient tunnel lining crack detection model based on Mini-Unet
Designing Tunnel Lining in Anhydritic Claystones. Intensity and Distribution of Swelling Forces
Model test study on the mechanical response of the deep buried tunnel lining
Three-dimensional numerical study of the reactive powder concrete segments in tunnel lining
Dubin-Haskell Lining Corp.
Gewerkenbuch der Gewerkschaft "Lining"
Multilevel modeling of fiber-reinforced concrete and application to numerical simulations of tunnel lining segments
Multilevel modeling of fiber-reinforced concrete and application to numerical simulations of tunnel lining segments
A variationally consistent hyperstatic reaction method for tunnel lining design
Kanalsanierung : Langrohr-Lining, Kurzrohr-Lining, verformte Rohre
Lightweight defect detection algorithm of tunnel lining based on knowledge distillation
Accurate estimation of concrete consumption in tunnel lining using terrestrial laser scanning
A highly efficient tunnel lining crack detection model based on Mini-Unet
Designing Tunnel Lining in Anhydritic Claystones. Intensity and Distribution of Swelling Forces
Model test study on the mechanical response of the deep buried tunnel lining
Three-dimensional numerical study of the reactive powder concrete segments in tunnel lining
Dubin-Haskell Lining Corp.