A lightweight steel drywall facade (LWS) is one of the most widely used architectural non-structural components of a building. To account for their effect on the structural performance of buildings, simplified numerical models are proposed to simulate their in-plane response. The model can be easily integrated with building models and, when linked to information about their fragility, allows better estimation of damages in them. Models are calibrated exper-imentally using quasi-static cyclic test results obtained from recent research at the University of Naples "Federico II". Using OpenSees software, models are developed by utilizing a discre-tized spring to simulate the lumped behavior of the walls for each of the eight different con-figurations of the tested façades. A comparison of the experimental and numerical results based on the hysteretic response curves and the cumulative energy dissipated demonstrates the accuracy of the model.

Numerical modelling of lightweight steel drywall facades for in-plane seismic performance evaluations

Sarmad Shakeel;Luigi Fiorino
;
Raffaele Landolfo
2022

Abstract

A lightweight steel drywall facade (LWS) is one of the most widely used architectural non-structural components of a building. To account for their effect on the structural performance of buildings, simplified numerical models are proposed to simulate their in-plane response. The model can be easily integrated with building models and, when linked to information about their fragility, allows better estimation of damages in them. Models are calibrated exper-imentally using quasi-static cyclic test results obtained from recent research at the University of Naples "Federico II". Using OpenSees software, models are developed by utilizing a discre-tized spring to simulate the lumped behavior of the walls for each of the eight different con-figurations of the tested façades. A comparison of the experimental and numerical results based on the hysteretic response curves and the cumulative energy dissipated demonstrates the accuracy of the model.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/905467
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