C
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.
Papers
More filters
Journal ArticleDOI
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.
Journal ArticleDOI
The durability properties of polypropylene fiber reinforced fly ash concrete
Okan Karahan,Cengiz Duran Atiş +1 more
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.