0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Stochastic degradation model analysis for prestressed concrete bridges

 Stochastic degradation model analysis for prestressed concrete bridges
Autor(en): , , ,
Beitrag für IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022, veröffentlicht in , S. 1092-1099
DOI: 10.2749/prague.2022.1092
Preis: € 25,00 inkl. MwSt. als PDF-Dokument  
ZUM EINKAUFSWAGEN HINZUFÜGEN
Vorschau herunterladen (PDF-Datei) 0.14 MB

Bridges in the road infrastructure represent a critical and strategic asset, due to their functionality, is vital for the economic and social development of the countries. Currently, approximately ...
Weiterlesen

Bibliografische Angaben

Autor(en): (Universidade do Minho, Department of Civil Engineering, Guimarães, Portugal)
(Universidade do Minho, Department of Civil Engineering, Guimarães, Portugal)
(Universidade do Minho, Department of Civil Engineering, Guimarães, Portugal)
(La Salle University, Department of Civil Engineering, Bogota, Colombia)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022
Veröffentlicht in:
Seite(n): 1092-1099 Anzahl der Seiten (im PDF): 8
Seite(n): 1092-1099
Anzahl der Seiten (im PDF): 8
DOI: 10.2749/prague.2022.1092
Abstrakt:

Bridges in the road infrastructure represent a critical and strategic asset, due to their functionality, is vital for the economic and social development of the countries. Currently, approximately 50% of construction industry expenditures in most developed countries are associated with repairs, maintenance, and rehabilitation of existing structures, and are expected to increase in the future. In this sense, it is necessary to monitor the behaviour of bridges and obtain indicators that represent the evolution of the state of service over time.

Therefore, degradation models play a crucial role in determining asset performance that will define cost-effective and efficient planned maintenance solutions to ensure continuous and correct operation. Of these models, Markov chains stand out for being stochastic models that consider the uncertainty of complex phenomena and are the most used for structures in general due to their practicality, easy implementation, and compatibility. In this context, this research develops degradation models of a database of 414 prestressed concrete bridges continuously monitored from 2000 to 2016 in the state of Indiana, USA. Degradation models were developed from a rating system of the state of the deck, the superstructure, and the substructure. Finally, the database is identified and divided from cluster analysis, into classes that share similar deterioration trends to obtain a more accurate prediction that can facilitate the decision processes of bridge management systems.

Stichwörter:
Spannbetonbrücken
Copyright: © 2022 International Association for Bridge and Structural Engineering (IABSE)
Lizenz:

Die Urheberrechte (Copyright) für dieses Werk sind rechtlich geschützt. Es darf nicht ohne die Zustimmung des Autors/der Autorin oder Rechteinhabers/-in weiter benutzt werden.

Bauwerkstypen