Methodology to Develop Fragility Curves of Glass Façades Under Wind-Induced Pressure
Autor: | Isaac Felipe Lima-Castillo, Roberto Gómez-Martínez, Adrián Pozos-Estrada |
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Rok vydání: | 2018 |
Předmět: |
021110 strategic
defence & security studies Temperature control 010504 meteorology & atmospheric sciences Turbulence business.industry Monte Carlo method 0211 other engineering and technologies Wind field 02 engineering and technology Structural engineering 01 natural sciences Wind speed Fragility Facade business Geology 0105 earth and related environmental sciences Civil and Structural Engineering |
Zdroj: | International Journal of Civil Engineering. 17:347-359 |
ISSN: | 2383-3874 1735-0522 |
DOI: | 10.1007/s40999-018-0360-6 |
Popis: | 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 facades in buildings has become very popular; in Mexico, a large number of buildings along the coast are designed with glass facades. Glass facades 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 facades under turbulent wind loading is proposed. This methodology could be used to select the appropriate glass thickness of a facade. 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 facade 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 facades for high mean wind speeds between 38 and 67 m/s at a height of 10 m. |
Databáze: | OpenAIRE |
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