Structural Engineering and Mechanics

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Reliability of analytical models for the prediction of out-of-plane capacity of masonry infills

  • Pasca, Monica (Department of Structural and Geotechnical Engineering, "Sapienza" University of Rome) ;
  • Liberatore, Laura (Department of Structural and Geotechnical Engineering, "Sapienza" University of Rome) ;
  • Masiani, Renato (Department of Structural and Geotechnical Engineering, "Sapienza" University of Rome)
  • Received : 2017.06.26
  • Accepted : 2017.09.02
  • Published : 2017.12.25
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Abstract

The out-of-plane response of infill walls has recently gained a growing attention and has been recognised fundamental in the damage assessment of reinforced concrete and steel framed buildings subjected to seismic loads. The observation of damage after earthquakes highlighted that out-of-plane collapse of masonry infills may occur even during seismic events of low or moderate intensity, causing both casualty risks and unfavourable situations affecting the overall structural response. Even though studies concerning the out-of-plane behaviour of infills are not as many as those focused on the in-plane response, in the last decades, a substantial number of researches have been carried out on the out-of-plane behaviour of infills. In this study, the out-of-plane response is investigated considering different aspects. First, damages observed after past earthquakes are examined, with the aim of identifying the main parameters involved and the most critical configurations. Secondly, the response recorded in about 150 experimental tests is deeply examined, focusing on the influence of geometrical characteristics, boundary conditions, prior in-plane damage, presence of reinforcing elements and openings. Finally, different theoretical capacity models and code provisions are discussed and compared, giving specific attention to those based on the arching theory. The reliability of some of these models is herein tested with reference to experimental results. The comparison between analytically predicted and experimental values allows to appreciate the extent of approximation of such methods.

Keywords

Acknowledgement

Supported by : Ministry of the Instruction, University and Research of Italy (MIUR)

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