Gentile, R;
Pampanin, S;
Raffaele, D;
Uva, G;
(2019)
Non-linear analysis of RC masonry-infilled frames using the SLaMA method: part 2—parametric analysis and validation of the procedure.
Bulletin of Earthquake Engineering
, 17
pp. 3305-3326.
10.1007/s10518-019-00584-6.
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Abstract
Infill walls have significant effects on the global force–displacement curve of Reinforced Concrete (RC) frames, and possibly on the outcome of a seismic performance assessment. Therefore, it is paramount to explicitly consider their presence. An analytical procedure to derive the non-linear static force–displacement curve of infilled frame structures, within the Simple Lateral Mechanism Analysis (SLaMA) framework, has been presented in a companion paper (part 1). In this paper, the proposed procedure is applied to 72 case study infilled frames with different geometry (two, four, six stories; two, four bays), capacity and configuration of the RC members, strength and the distribution of the infills. The resulting capacity curves are compared to refined numerical pushover analyses. The observed satisfying match demonstrates the accuracy and reliability of the proposed procedure.
Type: | Article |
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Title: | Non-linear analysis of RC masonry-infilled frames using the SLaMA method: part 2—parametric analysis and validation of the procedure |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/s10518-019-00584-6 |
Publisher version: | https://doi.org/10.1007/s10518-019-00584-6 |
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: | Seismic assessment, Displacement-based assessment, Reinforced concrete, Infilled frame structures, Non-linear analysis |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
URI: | https://discovery.ucl.ac.uk/id/eprint/10071260 |
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