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Abstract
The paper focuses on the question of the influence of age on the interlayer bonding properties of two-layered specimens. The evaluation combines traditional data evaluation and artificial neural network (ANN) analysis of different data sets of pavements from Switzerland, United Kingdom and Italy. The results show that it is possible to use ANN techniques to derive models from data sets and to predict interlayer bond strength. The findings demonstrate that age has a positive effect on the interlayer bond of asphalt pavements and that long-term oven ageing can lead to similar results as in situ ageing. In addition, it was found that the positive effect of ageing is greater when a tack coat is used.