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Cengiz Duran Atiş

Researcher at Erciyes University

Publications -  93
Citations -  5364

Cengiz Duran Atiş is an academic researcher from Erciyes University. The author has contributed to research in topics: Compressive strength & Fly ash. The author has an hindex of 31, co-authored 82 publications receiving 4059 citations. Previous affiliations of Cengiz Duran Atiş include Abdullah Gül University & Çukurova University.

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Influence of Activator on the Strength and Drying Shrinkage of Alkali-Activated Slag Mortar

TL;DR: Puertas et al. as mentioned in this paper investigated the feasibility of using and alkaline activated ground Turkish slag to produce a mortar without Portland cement (PC) by using three different activators: liquid sodium silicate (LSS), sodium hydroxide (SH) and sodium carbonate (SC) at different sodium concentrations.
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The durability properties of polypropylene fiber reinforced fly ash concrete

TL;DR: In this article, a comprehensive study on the durability properties of concrete containing polypropylene fiber and fly ash was performed, and the results showed that the positive interactions between polypropane fibers and fly-ash lead to the lowest drying shrinkage of fibrous concrete with fly ash.
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Accelerated carbonation and testing of concrete made with fly ash

TL;DR: In this paper, an accelerated carbonation test was carried out in order to assess the carbonation of fly ash (FA) concrete, and the results showed that FA concrete made with 70% replacement ratio was carbonated more than that of 50% FA replacement concrete and normal Portland cement (NPC) concrete.
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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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Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

TL;DR: The results showed that ANN can be an alternative approach for the predicting the compressive strength of ground granulated blast furnace slag concrete using concrete ingredients as input parameters.