Structural seismic fragility analysis of RC frame with a new family of Rayleigh damping models

Pierre Jehel 1 Pierre Léger 2 Adnan Ibrahimbegovic 3, *
* Auteur correspondant
1 MSSMat - Laboratoire de mécanique des sols, structures et matériaux
2 Département de Génie Civil - École Polytechnique de Montréal
3 LMT - Laboratoire de Mécanique et Technologie
Abstract : Structural seismic vulnerability assessment is one of the key steps in a seismic risk management process. Structural vulnerability can be assessed using the concept of fragility. Structural fragility is the probability for a structure to sustain a given damage level for a given input ground motion intensity, which is represented by so-called fragility curves or surfaces. In this work, we consider a moment-resisting reinforced concrete frame struc- ture in the area of the Cascadia subduction zone, that is in the South-West of Canada and the North-West of the USA. According to shaking table tests, we first validate the capability of an inelastic fiber beam/column element, using a recently developed concrete constitutive law, for representing the seismic behavior of the tested frame coupled to either a commonly used Rayleigh damping model or a proposed new model. Then, for each of these two damping models, we proceed to a structural fragility analysis and in- vestigate the amount of uncertainty to be induced by damping models.
Keywords : Earthquake Damping Inelastic time-history analysis Structural fragility Fiber beam element Reinforced concrete frame structure
Type de document :
Chapitre d'ouvrage
Manolis Papadrakakis, George Stefanou, Vissarion Papadopoulos. Computational Methods in Stochastic Dynamics - Vol. 2, 26, Springer, pp.267-291, 2013, Computational Methods in Applied Sciences, 978-94-007-5134-7. 〈10.1007/978-94-007-5134-7〉
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Pierre Jehel, Pierre Léger, Adnan Ibrahimbegovic. Structural seismic fragility analysis of RC frame with a new family of Rayleigh damping models. Manolis Papadrakakis, George Stefanou, Vissarion Papadopoulos. Computational Methods in Stochastic Dynamics - Vol. 2, 26, Springer, pp.267-291, 2013, Computational Methods in Applied Sciences, 978-94-007-5134-7. 〈10.1007/978-94-007-5134-7〉. 〈hal-00730603〉

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