Open Access

ARTICLE

An Experimental Investigation on Workability and Bleeding Behaviors of Cement Pastes Doped with Nano Titanium Oxide (n-TiO₂) Nanoparticles and Fly Ash

Fatih Çelik^1,*, Oğuzhan Yıldız², Andaç Batur Çolak³, Samet Mufit Bozkır¹

1 Civil Engineering Department, Niğde Ömer Halisdemir University, Niğde, Turkey
2 Electric and Energy Department, Niğde Ömer Halisdemir University, Niğde, Turkey
3 Mechanical Engineering Department, Niğde Ömer Halisdemir University, Niğde, Turkey

* Corresponding Author: Fatih Çelik. Email:

(This article belongs to the Special Issue: Nanotechnology applications in fluid dynamics and materials science)

Fluid Dynamics & Materials Processing 2023, 19(1), 135-158. https://doi.org/10.32604/fdmp.2022.021014

Received 23 December 2021; Accepted 26 March 2022; Issue published 02 August 2022

Abstract

In this study, the workability of cement-based grouts containing n-TiO₂ nanoparticles and fly ash has been investigated experimentally. Several characteristic quantities (including, but not limited to, the marsh cone flow time, the mini slump spreading diameter and the plate cohesion meter value) have been measured for different percentages of these additives. The use of fly ash as a mineral additive has been found to result in improvements in terms of workability behavior as expected. Moreover, if nano titanium oxide is also used, an improvement can be obtained regarding the bleeding values for the cement-based grout mixes. Using such experimental data, a multi-layer perceptron artificial neural network model has been developed (5 neurons in the hidden layer of the network model have been developed using a total of 42 experimental data). 70% of the data employed in this model have been used for training, 15% for validation and 15% for the test phase. The results demonstrate that the arti- ficial neural network model can predict Marsh cone flow time, mini slump spreading diameter and plate cohesion meter values with an average error of 0.15%.

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Keywords

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