GraFar - Repository of the Faculty of Civil Engineering
Faculty of Civil Engineering of the University of Belgrade
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrilic)
    • Serbian (Latin)
  • Login
View Item 
  •   GraFar
  • GraFar
  • Radovi istraživača / Researcher's publications
  • View Item
  •   GraFar
  • GraFar
  • Radovi istraživača / Researcher's publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Prediction of concrete dam deformation using artificial neural networks

Authorized Users Only
2015
Authors
Radovanović, Slobodan
Milivojević, Vladimir
Cirović, V.
Divac, Dejan
Milivojević, Nikola
Conference object (Published version)
Metadata
Show full item record
Abstract
The goal of this paper is to assess the effectiveness of using artificial neural networks in the prediction of concrete dam deformation. The aging of dams as a concrete structures poses a significant risk for the environment, and many of them are at the stage where it is necessary to pay attention to their behaviour. Short-term term prediction of deformation is very important for rapid response in the case of any adverse events. Two examples are presented in this paper to investigate how short-term prediction of deformation can be realized by using artificial neural networks. As a comparison, a set of statistical linear regression models are established using the same data. The conclusions on the basis of the analysis and the established models are presented. The paper provides an assessment of the network structure and a comparison of neural network models for the usual concept of statistical models for the monitoring of dams.
Keywords:
Artificial neural network / Dam / Deformation / Multiple linear regression / Prediction / Temperature / Water level
Source:
Civil-Comp Proceedings, 2015, 109
Publisher:
  • Civil-Comp Press

ISSN: 1759-3433

Scopus: 2-s2.0-84966293700
[ Google Scholar ]
URI
http://grafar.grf.bg.ac.rs/handle/123456789/668
Collections
  • Radovi istraživača / Researcher's publications
  • Катедра за грађевинску геотехнику
Institution
GraFar

DSpace software copyright © 2002-2015  DuraSpace
About GraFar - Repository of the Faculty of Civil Engineering | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceInstitutionsAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About GraFar - Repository of the Faculty of Civil Engineering | Send Feedback

OpenAIRERCUB