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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 108
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping
Paper 87

Influence of Masonry Infill Modelling on the Seismic Response of Reinforced Concrete Frames

L. Liberatore and F. Mollaioli

Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Italy

Full Bibliographic Reference for this paper
L. Liberatore, F. Mollaioli, "Influence of Masonry Infill Modelling on the Seismic Response of Reinforced Concrete Frames", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 87, 2015. doi:10.4203/ccp.108.87
Keywords: masonry infills, predicting models, equivalent strut, reinforced concrete frames, pushover analyses.

Summary
In this paper the influence of masonry infill modelling on the seismic response of reinforced concrete frames is investigated. First, various models are described and discussed, then a reinforced concrete frame, designed to be representative of an existing building in Italy, is analysed by means of numerical non linear static (push-over) analyses considering both the bare frame (as a reference model) and the infilled one. Different macro-models based on the equivalent strut approach are used with the aim of carrying out a comparison between them. The analyses are performed by means of the OpenSees software package. Beams and columns are modelled with elastic beam elements connected in series to zero-length nonlinear rotational springs located at member ends for representing plastic hinges. The infills are modelled with truss elements, to which a uniaxial material is assigned. The parameters, which characterize the uniaxial material, change with the infill model adopted. The results show that there is a noticeable difference of stiffness and strength estimated by means of different models.

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