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Kubilay Akçaözoğlu
Researcher at Niğde University
Publications - 10
Citations - 487
Kubilay Akçaözoğlu is an academic researcher from Niğde University. The author has contributed to research in topics: Compressive strength & Aggregate (composite). The author has an hindex of 5, co-authored 9 publications receiving 364 citations.
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An investigation on the use of shredded waste PET bottles as aggregate in lightweight concrete
TL;DR: It was concluded that there is a potential for the use of shredded waste PET granules as aggregate in the production of structural lightweight concrete due to its low unit weight which results in a reduction in the death weight of a structural concrete member of a building.
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Thermal conductivity, compressive strength and ultrasonic wave velocity of cementitious composite containing waste PET lightweight aggregate (WPLA)
TL;DR: In this paper, the influence of waste PET as lightweight aggregate (WPLA) replacement with conventional aggregate, on thermal conductivity, unit weight and compressive strength properties of concrete composite was investigated.
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Microstructural examination of concrete exposed to elevated temperature by using plane polarized transmitted light method
TL;DR: In this paper, the influence of elevated temperature on the residual compressive strength and ultrasonic wave velocity of concrete specimens has been investigated by plane polarized transmitted light (PPTL) method.
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Microstructural examination of the effect of elevated temperature on the concrete containing clinoptilolite
TL;DR: In this article, the effect of elevated temperature on the properties of concrete containing clinoptilolite was investigated by microscopic analyses, and it was observed from microscopic analyses that the aggregate compressive strength of concrete was less affected from elevated temperatures.
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Artificial Intelligence Approach in Predicting the Effect of Elevated Temperature on the Mechanical Properties of PET Aggregate Mortars: An Experimental Study
TL;DR: In this article, the effect of high temperature on the flexural and compressive strength of mortars containing waste PET aggregates was investigated experimentally, and an artificial neural network was designed to estimate flexural strength values using experimental data.