Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Simplified Framework for Preliminary Estimates of Bridge Bearing Demands and Fatigue Loading
While bridge bearings are ubiquitous, there is minimal information available on their performance lifespan bringing uncertainty to bridge rating and maintenance. The assessment of the life expectancy of bridge bearings requires proper estimation of the bearing demands under working conditions. These demands can vary significantly depending on the loading type (e.g., temperature, traffic, or seismic events), bridge configuration (e.g., geometry of pier, deck, superstructure, etc.), and bearing properties (e.g., horizontal stiffness). Hence, it can be quite challenging to predict the appropriate timing for bearing replacement. To aid authorities in decision-making, this study proposes a simplified regression-based framework for preliminary prediction of the annual demands of elastomeric bearings. First, Monte Carlo simulation, combined with Latin Hypercube Sampling, is used to generate random bridge configurations as well as random temperature profiles, earthquake records, and traffic loading scenarios. The displacement demands are evaluated for each simulation using a nonlinear OpenSees model, and then, the demands are related to the bridge design parameters via regression analysis. Based on the predicted demands, a parameterized fatigue loading protocol is proposed which can be used for testing and rating sample bearings. The results from the simplified method are then compared to those derived using a more detailed method. The comparison reveals that the proposed simplified method is a good alternative for rough and quick estimates before the application of the detailed method.
Simplified Framework for Preliminary Estimates of Bridge Bearing Demands and Fatigue Loading
While bridge bearings are ubiquitous, there is minimal information available on their performance lifespan bringing uncertainty to bridge rating and maintenance. The assessment of the life expectancy of bridge bearings requires proper estimation of the bearing demands under working conditions. These demands can vary significantly depending on the loading type (e.g., temperature, traffic, or seismic events), bridge configuration (e.g., geometry of pier, deck, superstructure, etc.), and bearing properties (e.g., horizontal stiffness). Hence, it can be quite challenging to predict the appropriate timing for bearing replacement. To aid authorities in decision-making, this study proposes a simplified regression-based framework for preliminary prediction of the annual demands of elastomeric bearings. First, Monte Carlo simulation, combined with Latin Hypercube Sampling, is used to generate random bridge configurations as well as random temperature profiles, earthquake records, and traffic loading scenarios. The displacement demands are evaluated for each simulation using a nonlinear OpenSees model, and then, the demands are related to the bridge design parameters via regression analysis. Based on the predicted demands, a parameterized fatigue loading protocol is proposed which can be used for testing and rating sample bearings. The results from the simplified method are then compared to those derived using a more detailed method. The comparison reveals that the proposed simplified method is a good alternative for rough and quick estimates before the application of the detailed method.
Simplified Framework for Preliminary Estimates of Bridge Bearing Demands and Fatigue Loading
Lecture Notes in Civil Engineering
Gupta, Rishi (Herausgeber:in) / Sun, Min (Herausgeber:in) / Brzev, Svetlana (Herausgeber:in) / Alam, M. Shahria (Herausgeber:in) / Ng, Kelvin Tsun Wai (Herausgeber:in) / Li, Jianbing (Herausgeber:in) / El Damatty, Ashraf (Herausgeber:in) / Lim, Clark (Herausgeber:in) / Abdelmaksoud, Ahmed M. (Autor:in) / Patel, Minesh K. (Autor:in)
Canadian Society of Civil Engineering Annual Conference ; 2022 ; Whistler, BC, BC, Canada
Proceedings of the Canadian Society of Civil Engineering Annual Conference 2022 ; Kapitel: 75 ; 1105-1121
06.08.2023
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
| TIBKAT | 1985