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Bilinear Probabilistic Models of the Seismic Response of a Low Ductility Reinforced Concrete Frame

Freddi, F; Dall'Asta, A; Padgett, JE; (2013) Bilinear Probabilistic Models of the Seismic Response of a Low Ductility Reinforced Concrete Frame. In: Modena, C, (ed.) (Proceedings) ANIDIS 2013 - XV Convegno, 30 June 2013 – 4 July 2013, Padova, Italy. Green open access

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Abstract

Probabilistic methods to evaluate the seismic vulnerability of reinforced concrete (RC) frames are largely used in the context of performance based design and assessment, often describing the structural response using global engineering demand parameters (EDPs) such as the interstory drift. While such EDPs are able to synthetically describe the structural behavior, the use of component level parameters of RC frames without seismic detailing can enable a more realistic and thorough description of failure mechanisms for structural vulnerability and loss assessment. This paper proposes a methodology for the probabilistic evaluation of seismic demand of low ductility RC frames by exploring a range of component level and global EDPs, identifying appropriate regression models and comparing performances of different ground motion intensity measures used in the probabilistic analysis. A realistic benchmark RC frame is used as a case study to identify key considerations in probabilistic seismic demand modeling.

Type: Proceedings paper
Title: Bilinear Probabilistic Models of the Seismic Response of a Low Ductility Reinforced Concrete Frame
Event: ANIDIS 2013 - XV Convegno, 30 June 2013 – 4 July 2013, Padova, Italy
Location: Padova, Italy
Dates: 30 June 2013 - 04 July 2013
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.anidis.it/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Reinforced Concrete frames, Low Ductility frames, Probabilistic Seismic Demand Models, Local Engineering Demand Parameters, Intensity Measure
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1575836
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