Prediction of Concrete Compressive Strength in Buildings that would be Reinforced by Fuzzy Logic

Uzunoğlu, Metin and Özgan, Ercan and Kap, Tuncay (2019) Prediction of Concrete Compressive Strength in Buildings that would be Reinforced by Fuzzy Logic. In: Theory and Applications of Physical Science Vol. 2. B P International, pp. 41-55. ISBN 978-93-89562-91-0

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Abstract

In this study, core samples were taken from column or reinforced wall in order to make reinforcement
or restoration. The effect of the element height and volume of voids of these samples to the
compressive strength were investigated. C25 type ready to use concrete was used and a column
without steel was produced. During the production process, 15 cm reference cube samples were
taken from the fresh concrete. After 28 days, 8 cores from reference cubes and 128 samples from
column were taken and their compressive strengths were determined. As a result, the average
compressive strength of the reference core samples was 36.95 Mpa and according to the height
compressive strengths of other samples was ranging between 37.3 and 43.0 Mpa. The ratio of the
increasing of the compressive strength changes between 0.95 and 16.37% according to the reference
sample. Based on the experimental results, fuzzy Logic method was used for modelling of the
experimental results. The paper demonstrates that fuzzy logic can be successfully used in modelling
the compressive strength of concrete for different height and volume of voids. This model enables us
to easily and reliably estimate the compressive strength of concrete.

Item Type: Book Section
Subjects: Universal Eprints > Physics and Astronomy
Depositing User: Managing Editor
Date Deposited: 20 Nov 2023 05:04
Last Modified: 20 Nov 2023 05:04
URI: http://journal.article2publish.com/id/eprint/3237

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