Rutting prediction of asphalt mixtures modified by polypropylene fibers via repeated creep testing by utilising genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Tapkin:2013:MR,
  author =       "Serkan Tapkin and Abdulkadir Cevik and Un Usar and 
                 Eren Gulsan",
  title =        "Rutting prediction of asphalt mixtures modified by
                 polypropylene fibers via repeated creep testing by
                 utilising genetic programming",
  journal =      "Materials Research",
  year =         "2013",
  volume =       "16",
  number =       "2",
  pages =        "277--292",
  keywords =     "genetic algorithms, genetic programming, asphalt,
                 polypropylene fibres, rutting potential, modelling,
                 closed form solutions",
  ISSN =         "1516-1439",
  bibsource =    "OAI-PMH server at www.doaj.org",
  language =     "eng",
  oai =          "oai:doaj-articles:5c1352da861d9819875cd673c87da536",
  publisher =    "ABM, ABC, ABPol",
  URL =          "http://www.scielo.br/scielo.php?pid=S1516-14392013000200003&script=sci_arttext",
  DOI =          "doi:10.1590/S1516-14392013005000012",
  size =         "16 pages",
  abstract =     "A novel application of genetic programming (GP) for
                 modelling and presenting closed form solutions to the
                 rutting prediction for polypropylene (PP) modified
                 asphalt mixtures is investigated. Various PP fibres
                 have been used for bitumen modification and repeated
                 creep (RC) tests have been carried out. Marshall
                 specimens, fabricated with multifilament 3 mm (M-03)
                 type PP fibers at optimum bitumen content of 5percent
                 have been tested under different load values and
                 patterns at 50 degree C to investigate their rutting
                 potential. It has been shown that the service lives of
                 PP fibre-reinforced Marshall specimens are respectively
                 longer than the control specimens under the same
                 testing conditions (5 to 12 times). Input variables in
                 the developed GP model use the physical properties of
                 Marshall specimens such as PP type, specimen height,
                 unit weight, voids in mineral aggregate, voids filled
                 with asphalt, air voids, rest period and pulse counts.
                 The performance of the accuracy of the proposed GP
                 model is observed to be quite satisfactory. To obtain
                 the main effects plot, detailed parametric studies have
                 been performed. The presened closed form solution will
                 also help further researchers willing to perform
                 studies on the prediction of the rutting potential of
                 asphalt without carrying out destructive tests for
                 similar type of aggregate sources, bitumen, aggregate
                 gradation, modification technique and laboratory
                 conditions.",
}

Genetic Programming entries for Serkan Tapkin Abdulkadir Cevik Un Usar Eren Gulsan

Citations