Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Use of Markov Chain Method to Predict Service Life of Reinforced Concrete Bridge Decks
Bridges are recognized as the most salient module in road and highway infrastructure in a country due to their unparalleled line of service to the nation’s transportation framework. Therefore, the availability of a comprehensive Bridge Management System (BMS) in a country to evaluate aging bridges for long-term performance and life expectancy is highly productive and rewarding in terms of ensuring the structural reliability of commissioned bridges in that country. Currently, Sri Lanka has about 4800 bridges on National Highway Network (A & B class roads) spanning over the country. Aggressive environmental conditions, such as Chloride and CO2 contamination in the atmosphere make reinforced concrete bridge structures corrode over time reducing their maximum designed service life (life expectancy). Therefore, the present research study was intended to develop a bridge remaining service life prediction model (bridge deterioration model) using the State-based Markov chain modelling process that involves bridge condition ratings assigned for 24 concrete bridges in Sri Lanka based on first-hand visual inspection and Non-destructive testing evaluation (NDTE) conducted on the reinforced concrete bridges.
Use of Markov Chain Method to Predict Service Life of Reinforced Concrete Bridge Decks
Bridges are recognized as the most salient module in road and highway infrastructure in a country due to their unparalleled line of service to the nation’s transportation framework. Therefore, the availability of a comprehensive Bridge Management System (BMS) in a country to evaluate aging bridges for long-term performance and life expectancy is highly productive and rewarding in terms of ensuring the structural reliability of commissioned bridges in that country. Currently, Sri Lanka has about 4800 bridges on National Highway Network (A & B class roads) spanning over the country. Aggressive environmental conditions, such as Chloride and CO2 contamination in the atmosphere make reinforced concrete bridge structures corrode over time reducing their maximum designed service life (life expectancy). Therefore, the present research study was intended to develop a bridge remaining service life prediction model (bridge deterioration model) using the State-based Markov chain modelling process that involves bridge condition ratings assigned for 24 concrete bridges in Sri Lanka based on first-hand visual inspection and Non-destructive testing evaluation (NDTE) conducted on the reinforced concrete bridges.
Use of Markov Chain Method to Predict Service Life of Reinforced Concrete Bridge Decks
Lecture Notes in Civil Engineering
Dissanayake, Ranjith (Herausgeber:in) / Mendis, Priyan (Herausgeber:in) / Weerasekera, Kolita (Herausgeber:in) / De Silva, Sudhira (Herausgeber:in) / Fernando, Shiromal (Herausgeber:in) / Konthesingha, Chaminda (Herausgeber:in) / Gajanayake, Pradeep (Herausgeber:in) / Nirmal, W. G. K. (Autor:in) / Thadsanamoorthy, P. (Autor:in) / Tharmarajah, G. (Autor:in)
International Conference on Sustainable Built Environment ; 2022 ; Yogyakarta, Indonesia
10.08.2023
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Markov chain , Bridge management system (BMS) , Service life prediction , State-based modelling , Non-destructive testing evaluation (NDTE) , Condition rating Energy , Sustainable Architecture/Green Buildings , Environmental Policy , Sociology, general , Energy Policy, Economics and Management , Building Construction and Design , Sustainable Development , Engineering
Service life estimation of concrete bridge decks
| Springer Verlag | 2006
Rehabilitation of Reinforced Concrete Bridge Decks
| NTIS | 1989
Galvanized Steel Reinforced Concrete Bridge Decks
| NTIS | 1976