scholarly journals Evaluating seismic reliability of Reinforced Concrete Bridge in view of their rehabilitation

2018 ◽  
Vol 149 ◽  
pp. 02043
Author(s):  
Hasnae Boubel ◽  
Oumnia Elmrabet ◽  
Mohamed Rougui ◽  
Ouadia Mouhat ◽  
Echebba EL Mehdi

Considering in this work, a simplified methodology was proposed in order to evaluate seismic vulnerability of Reinforced Concrete Bridge. Reliability assessment of stress limits state and the applied loading which are assumed to be random variables. It is assumed that only their means and standard deviations are known while no information is available about their densities of probabilities. First Order Reliability Method is applied to a response surface representation of the stress limit state obtained through quadratic polynomial regression of finite element results. Then a parametric study is performed regarding the influence of the distributions of probabilities chosen to model the problem uncertainties for Reinforced Concrete Bridge. It is shown that the probability of failure depends largely on the chosen densities of probabilities, mainly in the useful domain of small failure probabilities.

2018 ◽  
Vol 149 ◽  
pp. 02043
Author(s):  
Hasnae Boubel ◽  
Oumnia Elmrabet ◽  
Mohamed Rougui ◽  
Ouadia Mouhat ◽  
Echebba EL Mehdi

2020 ◽  
Vol 165 ◽  
pp. 04056
Author(s):  
An Zhao ◽  
Qiang Xu ◽  
Jianyong Song

The intelligent evaluation system of existing reinforced concrete bridge “BLP” is a special software for the load-bearing capacity rapid analysis and evaluation of the existing reinforced concrete bridge, which was developed by the Highway Research Institute of the Ministry of Transport. Based on the parametric modelling method, it can quickly and easily establish the finite element plane model of the bridge structure for the static analysis of ultimate bearing capacity limit states and serviceability limit state, under variety norms. And it can easily and quickly build variable-section beams and rebars, with the special module. According to the comprehensive modification method of the load-bearing capacity evaluation, it can automatically recommend checking sections, and automatically calculate partial modification coefficient of resistance effect, and conveniently judge the safety coefficient of the sections, and quickly get the results of bridge load-bearing capacity. In summary, this system can significantly improve the work efficiency and accuracy of load-bearing capacity for exiting reinforced concrete bridge. This paper introduces in detail the characteristics of the intelligent analysis technology, calculation principle and real bridge application examples of the system.


1996 ◽  
Vol 12 (2) ◽  
pp. 217-244 ◽  
Author(s):  
Jaime De la Colina ◽  
Marc O. Eberhard ◽  
Stanley W. Ryter ◽  
Sharon L. Wood

Engineers are assessing the seismic vulnerability of thousands of reinforced concrete bridges located throughout the United States. Many of the bridge evaluation procedures are new, and the engineering effort necessary to implement them varies. Consequently, the assessment methodology varies among the responsible agencies, and in some cases, from one bridge to the next. This paper documents the sensitivity of an evaluation of a double-deck, reinforced concrete bridge to the manner in which the assessment was conducted. Large differences arose from the selection of linear versus nonlinear models. The computed splice vulnerabilities and concrete contribution to shear capacity varied also. In contrast, the assessment results were relatively insensitive to the way in which the investigators estimated the flexural ductility capacities, the transverse reinforcement's contribution to shear resistance, and the joint vulnerability. Even if the variations among the evaluation procedures are reduced, the results of the evaluations will still be sensitive to the selection of the ground motion and foundation stiffness.


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