Glass is an increasingly used material in construction and buildings. Despite its large application as load-bearing construction material, several aspects related to safe and optimal design are still under investigation and exploration, towards the full implementation of standardized rules of practical use. One of the main concerns in the design of this typically tensile brittle material is the rational estimation of static fatigue phenomena, under the effects of multiple design loads. In this paper, following earlier efforts, careful consideration is paid to the ultimate resistance verification (ULS) of structural glass elements under a combination of variable loads with specific duration. The ULS resistance assessment is carried out for double insulated glass units, being representative of large number of glass applications in buildings, and requiring specific design assumptions due to their intrinsic features.

A linear formulation for the ULS design of glass elements under combined loads: application to IGUs

Bedon Chiara
Membro del Collaboration Group
;
Amadio Claudio
Membro del Collaboration Group
2018-01-01

Abstract

Glass is an increasingly used material in construction and buildings. Despite its large application as load-bearing construction material, several aspects related to safe and optimal design are still under investigation and exploration, towards the full implementation of standardized rules of practical use. One of the main concerns in the design of this typically tensile brittle material is the rational estimation of static fatigue phenomena, under the effects of multiple design loads. In this paper, following earlier efforts, careful consideration is paid to the ultimate resistance verification (ULS) of structural glass elements under a combination of variable loads with specific duration. The ULS resistance assessment is carried out for double insulated glass units, being representative of large number of glass applications in buildings, and requiring specific design assumptions due to their intrinsic features.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2920069
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