A new approach for modeling of flow number of asphalt mixtures

• Autorzy: Alavi A. H. , Hasni H. , Zaabar I. , Lajnef N.

Identyfikatory

DOI

10.1016/j.acme.2016.06.004

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

asphalt mixture; flow number; multigene genetic programming; Marshall mix design

PL

mieszanka asfaltowa; programowanie genetyczne; mieszanka Marshalla

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2017
• Tom: Vol. 17, no. 2
• Strony: 326--335
• Opis fizyczny: Bibliogr. 40 poz., rys., tab., wykr.

Twórcy

autor

Alavi A. H.

• Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA

autor

Hasni H.

• Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA

autor

Zaabar I.

• Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA

autor

Lajnef N.

• Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)