The effect of temperature variations on the camber of precast, prestressed concrete girders

PCI Journal ◽  
2015 ◽  
Vol 60 (5) ◽  
pp. 48-63
Author(s):  
Hang Nguyen ◽  
John Stanton ◽  
Marc Eberhard ◽  
David Chapman
PCI Journal ◽  
2012 ◽  
Vol 57 (2) ◽  
pp. 94-119 ◽  
Author(s):  
Christie J. Hasenkamp ◽  
Sameh S. Badie ◽  
Kromel E. Hanna ◽  
Maher K. Tadros

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Thanh-Canh Huynh ◽  
Young-Hwan Park ◽  
Jae-Hyung Park ◽  
Dong-Soo Hong ◽  
Jeong-Tae Kim

The effect of temperature variation on vibration monitoring of prestressed concrete (PSC) girders is experimentally analyzed. Firstly, vibration features such as autoregressive (AR) coefficient, correlation coefficient of power spectral density (CC of PSD), natural frequency, and mode shape are selected to estimate the effect of temperature variation on vibration characteristics of PSC girders. Secondly, vibration experiments on a lab-scale PSC girder are performed under the condition of temperature variation. Finally, the vibration features with respect to the temperature variation are analyzed to estimate the effect of temperature in vibration characteristics of the PSC girder.


2020 ◽  
Vol 310 ◽  
pp. 00055
Author(s):  
Drahomír Novák ◽  
Lukáš Novák ◽  
Ondřej Slowik

The paper describes several parts of complex stochastic modelling of precast prestressed concrete girders failing in shear. Experimental studies have been performed on scaled elements as well as on full-scale girders. These tests serve as basis for developing the deterministic nonlinear model and subsequent probabilistic assessment of structural resistance. The combination of nonlinear finite element method and probabilistic analysis is a strong tool for the realistic modelling of structures, but it is extremely time consuming, especially when 3D nonlinear model with many input random parameters is analysed. Therefore, sensitivity analyses have been performed and a surrogate model has been developed. Safety formats are utilized and compared with fully probabilistic approach to determine design value of ultimate capacity of girders.


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