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A new approach for modeling of flow number of asphalt mixtures

Alavi A. H., Hasni H., Zaabar I., Lajnef N.

Archives of Civil and Mechanical Engineering

2017

Vol. 17, no. 2

326--335

Flow number of asphalt-aggregate mixtures is an explanatory parameter for the analysis of rutting potential of asphalt mixtures. In this study, a new model is proposed for the determination of flow number using a robust computational intelligence technique, called multi-gene genetic programming (MGGP). MGGP integrates genetic programming and classical regression to formulate the flow number of Marshall Specimens. A reliable experimental database is used to develop the proposed model. Different analyses are performed for the performance evaluation of the model. On the basis of a comparison study, the MGGP model performs superior to the models found in the literature.