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Study on temperature field effects on RC high-pier bridge

 Study on temperature field effects on RC high-pier bridge
Auteur(s): , , , ,
Présenté pendant IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021, publié dans , pp. 376-381
DOI: 10.2749/ghent.2021.0376
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Temperature is one of the essential factors that cause dynamic characteristics changes in concrete bridges. However, the study of temperature-induced structural frequency changes relies on a large ...
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Détails bibliographiques

Auteur(s): (PowerChina Roadbridge Group CO., LTD., Beijing, China)
(PowerChina Roadbridge Group CO., LTD., Beijing, China)
(PowerChina Roadbridge Group CO., LTD., Beijing, China)
(PowerChina Roadbridge Group CO., LTD., Beijing, China)
(PowerChina Roadbridge Group CO., LTD., Beijing, China)
(PowerChina Roadbridge Group CO., LTD., Beijing, China)
ORCID (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021
Publié dans:
Page(s): 376-381 Nombre total de pages (du PDF): 6
Page(s): 376-381
Nombre total de pages (du PDF): 6
DOI: 10.2749/ghent.2021.0376
Abstrait:

Temperature is one of the essential factors that cause dynamic characteristics changes in concrete bridges. However, the study of temperature-induced structural frequency changes relies on a large number of measured data to establish a frequency-temperature mathematical model. The selection of temperature variables is arbitrary. This paper takes a concrete high-pier rigid-framed bridge under construction in China as the research object. Based on the continuous 120-day measured weather data at the bridge site, the finite element method (FEM) is used to simulate the bridge's temperature and frequency history without considering the crack and other damage conditions. A regression analysis model of frequency and temperature variables was established. The study found that the selection of temperature variables and mathematical models influences the frequency-temperature mathematical relationship; for high-pier bridges. Establishing a multiple linear regression model with air temperature and point temperature of the main girder and piers as variables can obtain an ideal fitting result.

Copyright: © 2021 International Association for Bridge and Structural Engineering (IABSE)
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