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,
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author = "Mirian Velay-Lizancos and Juan Luis Perez-Ordonez and
Isabel Martinez-Lage and Pablo Vazquez-Burgo",
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title = "Analytical and genetic programming model of
compressive strength of eco concretes by {NDT}
according to curing temperature",
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journal = "Construction and Building Materials",
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volume = "144",
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pages = "195--206",
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year = "2017",
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ISSN = "0950-0618",
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DOI = "doi:10.1016/j.conbuildmat.2017.03.123",
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URL = "http://www.sciencedirect.com/science/article/pii/S0950061817305068",
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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.",
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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