Failure prediction and optimal selection of adhesives for glass/steel adhesive joints

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Katsivalis, I
Thomsen, OT
Feih, S
Achintha, M
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2019
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http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract

Mild steel/tempered glass adhesive joints are becoming a common occurrence in the construction industry. A numerical parametric study for adhesive property optimisation is conducted and determines strength and ductility as the main parameters affecting the joint performance. Numerical simulations include adhesive pressure-sensitivity, plasticity and failure modelling and are also used to further investigate onset and progression of damage leading to failure of the joints. Following this, the market of structural adhesives is scanned, resulting in the identification of an adhesive system that aligns with the ‘optimal’ strength and ductility parameters identified from the parametric study. The chosen adhesive system is experimentally compared and benchmarked against a brittle and a ductile adhesive in steel/glass adhesive joints subjected to four different load-cases. It is demonstrated that the proposed modelling methodology yields accurate predictions of the adhesive and adherend stress states and failure behaviour for the four different load-cases, thus highlighting the model's ability to predict the response and failure of all three adhesives and tempered glass.

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Engineering Structures
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201
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© 2021 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
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Materials engineering
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Katsivalis, I; Thomsen, OT; Feih, S; Achintha, M, Failure prediction and optimal selection of adhesives for glass/steel adhesive joints, Engineering Structures, 2019, 201, pp. 109646
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