Analytical and genetic programming model of compressive strength of eco concretes by NDT according to curing temperature

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@Article{VelayLizancos:2017:CBM,
  author =       "Mirian Velay-Lizancos and Juan Luis Perez-Ordonez and 
                 Isabel Martinez-Lage and Pablo Vazquez-Burgo",
  title =        "Analytical and genetic programming model of
                 compressive strength of eco concretes by {NDT}
                 according to curing temperature",
  journal =      "Construction and Building Materials",
  volume =       "144",
  pages =        "195--206",
  year =         "2017",
  ISSN =         "0950-0618",
  DOI =          "doi:10.1016/j.conbuildmat.2017.03.123",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0950061817305068",
  abstract =     "The use of non-destructive testing for estimating the
                 compressive strength of concrete has great advantages
                 both short term and long term. In the case of
                 eco-concrete with recycled materials, it is of
                 particular interest, since its use in many regulations
                 is conditional on further studies. In this research we
                 analyze the applicability of the most common models for
                 estimating compressive strength by combining
                 nondestructive testing. Specifically it was applied to
                 11 concrete with cement CEM-I, 3 self-compacting
                 concrete and 8 vibrated concrete. There are two
                 reference concretes (one of each) and the rest of
                 concretes either have changed water/cement ratio or
                 they contain different percentages of recycled
                 materials (recycled aggregate fine and coarse together,
                 or biomass ashes). Destructive tests have been made
                 (compressive strength) and non-destructive (ultrasonic
                 pulse velocity and compressive strength) in all
                 concretes, at different ages and different curing
                 temperatures, obtaining a total of 181 data sets. New
                 estimation models were proposed for compressive
                 strength with factors such as the curing temperature,
                 the temperature history, the density of the concrete
                 and the quantity of additive. These models
                 substantially improve the results obtained with the
                 usual methods. Finally, using genetic programming, it
                 has managed to obtain an equation that allows, safely,
                 estimating compressive strength with the information of
                 non-destructive testing. The equation obtained improves
                 current predictions with the peculiarity that minimizes
                 uncertain results.",
  keywords =     "genetic algorithms, genetic programming, Ultrasonic
                 pulse velocity, Concrete, Estimation of compressive
                 strength, NDT, Recycled aggregate, Biomass ash,
                 Compressive strength, Eco-concrete, Maturity",
}

Genetic Programming entries for Mirian Velay-Lizancos Juan Luis Perez Isabel Martinez-Lage Pablo Vazquez-Burgo

Citations