Brittle failure of laterally loaded self-tapping screw connections for cross-laminated timber structures
Palabras clave : 
Cross-laminated timber
Connections
Brittle failure
Experimental testing
Analytical model
Overstrength
Fecha de publicación : 
2022
Editorial : 
Elsevier
ISSN : 
0141-0296
Nota: 
This is an open access article under the CC BY-NC-ND license
Cita: 
Azinovic, B. (Boris); Cabrero, J.M. (José Manuel); Danielsson, H. (Henrik); et al. "Brittle failure of laterally loaded self-tapping screw connections for cross-laminated timber structures". Engineering Structures. (266), 2022, 114556
Resumen
The performance of structural timber connections is of utmost importance since they control the global response of the building. A ductile failure mechanism on the global scale is desirable, especially in the design of structures in seismic areas, where dissipative components in which ductile failure modes need to be ensured are considered. Therefore, the knowledge of possible brittle failure modes of connections is crucial. The paper investigates the brittle failures of laterally loaded dowel-type connections in cross-laminated timber subjected to tensile load in a lap joint configuration through experimental investigations and analytical estimations. A set of 13 different test series has been performed with fully threaded self-tapping screws of 8 mm diameter and different lengths (40 to 100 mm) in cross-laminated timber composed of 3 or 5 layers (layer thickness range from 20 to 40 mm), giving rise to the activation of different brittle failure modes at different depths. Plug shear was among the most typically observed failure modes. A previously proposed model for the brittle capacity was applied to the tested connections at the characteristic level. As shown by the performed statistical analysis, the existing model is not reliable and mainly unconservative. A very low performance is observed (CCC = 0.299), but with a good cor- relation (c = 0.750) for the tests in the parallel direction. Further research work is required to improve the current model predictions and to gain a better understanding of the underlying resisting mechanisms.

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