Seismic Performance Analysis of RC Bridge Subjected to Different Levels of Corrosion

Author(s):  
Rosemary K. Thomas ◽  
M. Helen Santhi
2014 ◽  
Vol 638-640 ◽  
pp. 1997-2000 ◽  
Author(s):  
Yu Min Zhang ◽  
Ying Cui ◽  
Jing Liu

As the crucial junction in transportation lines, more attention should pay to the safety of bridges. However, the collapse of bridges under earthquake threats the safe of lifeline engineering seriously. Unseating prevention devices are the effective structural measure to prevent collapse under unexpected earthquake. The design of unseating prevention devices need not only to meet the deformation demand of bridge during normal operations, but also to limit the oversize displacement under unexpected earthquake. Combined with relational design standards at home and abroad, unseating prevention devices have been designed for bridge to prevent collapse. The research results show that the unseating prevention devices with reasonable parameter will decrease the relative displacement between superstructure and substructure, improve the seismic performance and integrality of bridge, and make the seismic load to be well-distributed among the piers.


DYNA ◽  
2020 ◽  
Vol 87 (212) ◽  
pp. 80-89
Author(s):  
José Benjumea ◽  
Mehdi Saiidi ◽  
Ahmad Itani

A large-scale, two-span bridge model constructed by assembling precast elements was tested under a series of bi-axial ground motionssimulated on a shake table at the Earthquake Engineering Laboratory at the University of Nevada, Reno. The response of the bridge wasestimated before the tests using a three-dimensional computational model developed in OpenSees software. After the tests, key measuredseismic responses were compared to those predicted by the computational model to assess the modeling assumptions. Relatively largeerrors for the displacements, base shears, and hysteretic response of the bridge were observed. The influence of the earthquake loading,materials, connectivity of the precast elements, and boundary conditions in the computational model on the errors are discussed in thispaper. Future modeling directions are proposed to reduce these errors.


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