Melda Alkan Çakıroğlu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Melda Alkan Çakıroğlu has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Ahmet Ali Süzen
Isparta Uygulamalı Bilimler Üniversitesi
3 shared publications - Gülhan İnCe
Department of Civil Engineering, Mehmet Akif Ersoy University, Burdur, Turkey
3 shared publications - Hamide Tekeli
Department of Civil Engineering, Süleyman Demirel University, Isparta, Turkey
2 shared publications - Cenk Öcal
Civil Engineering Department, Isparta University of Applied Sciences, Isparta 32040, Türkiye
1 shared publication Hüseyin Hakan Ince
Burdur Mehmet Akif Ersoy University, Faculty of Engineering and Architecture, 15550 Burdur, Turkey
1 shared publication- Hüseyin Hakan İnCe
Burdur Mehmet Akif Ersoy Üniversitesi
1 shared publication
Latest Publications
- Open Access
Sustainable Dry-Mix Shotcrete Production with Fly Ash and Silica Fume
This study investigates the development of sustainable dry-mix shotcrete incorporating fly ash and silica fume as partial cement replacements in order to reduce the environmental impact of cement production. A total of 24 mixtures were systematically evaluated, with 10–30% supplementary cementitious material and 0.9–1.8 kg/m3 polypropylene fiber dosages. This research establishes a quantitative framework for optimizing mechanical performance, durability, and Global Warming Potential. Experimental results reveal that silica fume replacement increases 28-day compressive strength by up to 31.13%, while an optimal polypropylene fiber dosage of 0.9 kg/m3 provides a 15.87% strength enhancement through a matrix-bridging effect. Conversely, excessive fiber content (1.8 kg/m3) increases porosity, leading to a 14.94% reduction in strength. Durability analysis demonstrates that silica fume and fly ash significantly refine the microstructure, reducing sorptivity and limiting freeze–thaw strength loss to a range of 18.13% to 41.03%. Crucially, the 30% by volume of the cement replaced with silica fume mixture was identified as the optimum design, achieving the lowest Global Warming Potential per unit strength at 8.82 kg CO2-eq/m3/MPa, compared to 18.75 for the high-fiber mixture. These findings provide new, specific evidence that these supplementary cementitious material blends can successfully produce dry-mix shotcrete with significantly lower carbon emissions.
Open AccessSustainable Dry-Mix Shotcrete Production with Fly Ash and Silica Fume
This study investigates the development of sustainable dry-mix shotcrete incorporating fly ash and silica fume as partial cement replacements in order to reduce the environmental impact of cement production. A total of 24 mixtures were systematically evaluated, with 10–30% supplementary cementitious material and 0.9–1.8 kg/m3 polypropylene fiber dosages. This research establishes a quantitative framework for optimizing mechanical performance, durability, and Global Warming Potential. Experimental results reveal that silica fume replacement increases 28-day compressive strength by up to 31.13%, while an optimal polypropylene fiber dosage of 0.9 kg/m3 provides a 15.87% strength enhancement through a matrix-bridging effect. Conversely, excessive fiber content (1.8 kg/m3) increases porosity, leading to a 14.94% reduction in strength. Durability analysis demonstrates that silica fume and fly ash significantly refine the microstructure, reducing sorptivity and limiting freeze–thaw strength loss to a range of 18.13% to 41.03%. Crucially, the 30% by volume of the cement replaced with silica fume mixture was identified as the optimum design, achieving the lowest Global Warming Potential per unit strength at 8.82 kg CO2-eq/m3/MPa, compared to 18.75 for the high-fiber mixture. These findings provide new, specific evidence that these supplementary cementitious material blends can successfully produce dry-mix shotcrete with significantly lower carbon emissions.
- 25 May 2021
- Published by Springer Nature in Arabian Journal for Science and Engineering
- Vol. 46 (11) , 11519
Correction to: Experimental Examination of the Behavior of Shotcrete-Reinforced Masonry Walls and Xgboost Neural Network Prediction Model
- 25 May 2021
- Published by Springer Nature in Arabian Journal for Science and Engineering
- Vol. 46 (11) , 11519
Correction to: Experimental Examination of the Behavior of Shotcrete-Reinforced Masonry Walls and Xgboost Neural Network Prediction Model
- 17 April 2021
- Published by University of Slavonski Brod in Tehnicki vjesnik - Technical Gazette
- Vol. 28 (2) , 426-432
Prediction of Rebound Amount in Dry Mix Shotcrete by a Fast Adaboosting Neural Network
In this study, a new machine learning approach has been proposed to predict the rebound causing loss of material in shotcrete using the ensemble learning method. In shotcrete application, the amount of rebound material was obtained for...
- 17 April 2021
- Published by University of Slavonski Brod in Tehnicki vjesnik - Technical Gazette
- Vol. 28 (2) , 426-432
Prediction of Rebound Amount in Dry Mix Shotcrete by a Fast Adaboosting Neural Network
In this study, a new machine learning approach has been proposed to predict the rebound causing loss of material in shotcrete using the ensemble learning method. In shotcrete application, the amount of rebound material was obtained for...
- 9 March 2021
- Published by Springer Nature in Arabian Journal for Science and Engineering
- Vol. 46 (11) , 10613-10630
Experimental Examination of the Behavior of Shotcrete-Reinforced Masonry Walls and Xgboost Neural Network Prediction Model
- 9 March 2021
- Published by Springer Nature in Arabian Journal for Science and Engineering
- Vol. 46 (11) , 10613-10630
Experimental Examination of the Behavior of Shotcrete-Reinforced Masonry Walls and Xgboost Neural Network Prediction Model