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Improving the evaluation of multiple-dowel-type connection strength
Authors:A Cointe  F Rouger
Institution:(1) Laboratoire de Rhéologie du Bois de Bordeaux, Domaine de lrsquoHermitage, 69 route drsquoArcachon, 33612 Cestas Cedex, France;(2) Allée de Boutaut, Centre Technique du Bois et de lrsquoAmeublement, BP 227, 33028 Bordeaux cedex, France
Abstract:Our study focuses on predicting the ultimate short-term load carrying capacity of timber-to-timber connections with dowel-type fasteners. The wide range of possible configurations in practice makes the resolution of these values by tests unrealistic. Moreover, different current regulations do not consider some specific failure mechanisms. In many countries, the reduction of resistance involved by this phenomenon is taken into account by considering an effective number of dowels (nef) smaller than the actual number of dowels (n) in the connection. However, these different regulations disagree on the values of nef and on other points (spacing, partial coefficient of security, formulas). These discrepancies in design rules invite the fundamental research on this topic and, therefore, new methods are sought in order to estimate the load carrying capacities of the connections. In the light of these, our approach consists of predicting the load carrying capacity with the neural network numerical tool. The results obtained by this analysis tool are satisfactory, although the model remains complex. Subsequently, we focus on the simplification of this numerical model with classical regression techniques in order to implement it in a design code.
Keywords:Connection  Timber  Dowel  Neural network  Experimental design  Variance analysis
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