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International Journal of Civil Engineering

, Volume 17, Issue 3, pp 347–359 | Cite as

Methodology to Develop Fragility Curves of Glass Façades Under Wind-Induced Pressure

  • Isaac Felipe Lima-Castillo
  • Roberto Gómez-Martínez
  • Adrián Pozos-EstradaEmail author
Research paper
  • 31 Downloads

Abstract

High wind speeds produced by hurricanes or synoptic winds can cause considerable damage and the failure of structural and nonstructural elements. The use of glass façades in buildings has become very popular; in Mexico, a large number of buildings along the coast are designed with glass façades. Glass façades provide light, temperature control, and an esthetic view; however, this type of glass system is particularly vulnerable to high wind-induced pressures. A methodology to determine the fragility curves of glass façades under turbulent wind loading is proposed. This methodology could be used to select the appropriate glass thickness of a façade. The procedure employs an autoregressive and moving average model to simulate the wind field and Monte Carlo techniques to simulate the glass resistance of the windows. The methodology to construct the fragility curves is illustrated with a numerical example of a glass façade of a 96-m tall building. Three cases of glass resistance associated with coefficients of variation equal to 0, 10, and 20% were considered. The results of the numerical example show that the uncertainty in the glass resistance plays an important role in the development of the fragility curves of the glass façades for high mean wind speeds between 38 and 67 m/s at a height of 10 m.

Keywords

Glass façade ARMA model Wind pressure Fragility curves Probability of damage 

Notes

Acknowledgements

The financial support received from the Institute of Engineering of the National Autonomous University of Mexico (UNAM), the National Council on Science and Technology of Mexico (CONACYT), and the Graduate School of Engineering at UNAM is gratefully acknowledged.

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Copyright information

© Iran University of Science and Technology 2018

Authors and Affiliations

  1. 1.Instituto de IngenieríaUniversidad Nacional Autónoma de MéxicoMexicoMexico

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