Takip et
Ceren  Kına
Ceren Kına
Civil Engineering, Malatya Turgut Ozal University
ozal.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Use of binary and ternary cementitious blends of F-Class fly-ash and limestone powder to mitigate alkali-silica reaction risk
K Turk, C Kina, M Bagdiken
Construction and Building Materials 151, 422-427, 2017
462017
Comparison of extreme learning machine and deep learning model in the estimation of the fresh properties of hybrid fiber-reinforced SCC
C Kina, K Turk, E Atalay, I Donmez, H Tanyildizi
Neural Computing and Applications 33, 11641–11659, 2021
412021
Self-compacting concrete with blended short and long fibres: experimental investigation on the role of fibre blend proportion
K Turk, E Oztekin, C Kina
European Journal of Environmental and Civil Engineering 26 (3), 905-918, 2022
362022
Influence of silica fume and class F fly ash on mechanical and rheological properties and freeze-thaw durability of self-compacting mortars
A Benli, K Turk, C Kina
Journal of Cold Regions Engineering 32 (3), 04018009, 2018
312018
Effect of macro and micro fiber volume on the flexural performance of hybrid fiber reinforced SCC
K Turk, C Kina, E Oztekin
Advances in Concrete Construction 10 (3), 257-269, 2020
252020
Estimation of strengths of hybrid FR‐SCC by using deep‐learning and support vector regression models
C Kina, K Turk, H Tanyildizi
Structural Concrete 23, 3313-3330, 2022
152022
Çimento esaslı kompozitlerde karma lif kullanımı
T Kazım, K Ceren
Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 23 (6), 671-678, 2017
142017
Bond strength of reinforcing bars in hybrid fiber-reinforced SCC with binary, ternary and quaternary blends of steel and PVA fibers
C Kina, K Turk
Materials and Structures 54 (4), 139, 2021
132021
Freeze-thaw resistance and sorptivity of self-compacting mortar with ternary blends
K Turk, C Kina
Computers and Concrete, An International Journal 21 (2), 149-156, 2018
122018
Deep learning and machine learning‐based prediction of capillary water absorption of hybrid fiber reinforced self‐compacting concrete
C Kina, K Turk, H Tanyildizi
Structural Concrete 23, 3331-3358, 2022
92022
Durability of engineered cementitious composites incorporating high-volume fly ash and limestone powder
K Turk, C Kina, ML Nehdi
Sustainability 14 (16), 10388, 2022
82022
Effect of fiber type, shape and volume fraction on mechanical and flexural properties of concrete
M BAŞSÜRÜCÜ, C FENERLİ, K Ceren, ŞD AKBAŞ
Journal of Sustainable Construction Materials and Technologies 7 (3), 158-171, 2022
72022
Yüksek performanslı kendiliğinden yerleşen karma lifli beton geliştirilmesi
C Kına
İnönü Üniversitesi Fen Bilimleri Enstitüsü, 2019
62019
Effect of Micro Fiber Content on Workability of Self-compacting Concrete
E Oztekin, C Kina, K Turk
13th International Congress on Advances in Civil Engineering - ACE 2018, 2018
52018
Extreme learning machine for estimation of the engineering properties of self-compacting mortar with high-volume mineral admixtures
K Turk, C Kina, H Tanyildizi
Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2024
22024
Forecasting the compressive strength of GGBFS-based geopolymer concrete via ensemble predictive models
C Kina, H Tanyildizi, K Turk
Construction and Building Materials 405, 133299, 2023
22023
MİKROMEKANİK OLARAK TASARLANMIŞ ÇİMENTO ESASLI KOMPOZİTİN (ECC) KENDİLİĞİNDEN İYİLEŞMESİ
K Ceren, T Kâzım
Uludağ University Journal of The Faculty of Engineering 22 (3), 115-126, 2017
22017
Predicting sorptivity and freeze-thaw resistance of self-compacting mortar by using deep learning and k-nearest neighbor
K Türk, C Kına, H Tanyıldızı
Computers and Concrete 30 (2), 2022
12022
Yüksek performanslı kendiliğinden yerleşen karma lifli beton geliştirilmesi
C Kina
Fen Bilimleri Enstitüsü, 2019
12019
Sustainable binary/ternary blended mortars with recycled water treatment sludge using fly ash or blast slag: Characterization and environmental-economical impacts
C Kina
Environmental Science and Pollution Research 31 (10), 15126-15152, 2024
2024
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