Takip et
Harun TANYILDIZI
Harun TANYILDIZI
Professor of Civil Engineering, Firat University
firat.edu.tr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network
C Bilim, CD Atiş, H Tanyildizi, O Karahan
Advances in Engineering Software 40 (5), 334-340, 2009
3832009
Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
F Özcan, CD Atiş, O Karahan, E Uncuoğlu, H Tanyildizi
Advances in Engineering Software 40 (9), 856-863, 2009
3252009
The effect of high temperature on compressive strength and splitting tensile strength of structural lightweight concrete containing fly ash
H Tanyildizi, A Coskun
Construction and building materials 22 (11), 2269-2275, 2008
2662008
Estimation of compressive strength of self compacting concrete containing polypropylene fiber and mineral additives exposed to high temperature using artificial neural network
M Uysal, H Tanyildizi
Construction and Building Materials 27 (1), 404-414, 2012
2302012
Performance of lightweight concrete with silica fume after high temperature
H Tanyildizi, A Coskun
Construction and Building Materials 22 (10), 2124-2129, 2008
1642008
Statistical analysis for mechanical properties of polypropylene fiber reinforced lightweight concrete containing silica fume exposed to high temperature
H Tanyildizi
Materials & Design 30 (8), 3252-3258, 2009
1192009
Mechanical properties of geopolymer concrete containing polyvinyl alcohol fiber exposed to high temperature
H Tanyildizi, Y Yonar
Construction and Building Materials 126, 381-387, 2016
1122016
Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network
M Uysal, H Tanyildizi
Construction and Building Materials 25 (11), 4105-4111, 2011
1122011
Application of Taguchi method for optimization of concrete strengthened with polymer after high temperature
H Tanyildizi, M Şahin
Construction and Building materials 79, 97-103, 2015
912015
Effect of temperature, carbon fibers, and silica fume on the mechanical properties of lightweight concretes
H Tanyildizi
New carbon materials 23 (4), 339-344, 2008
872008
Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming
H Tanyildizi, A Çevik
Construction and Building Materials 24 (12), 2612-2618, 2010
762010
Fuzzy logic model for the prediction of bond strength of high-strength lightweight concrete
H Tanyildizi
Advances in Engineering Software 40 (3), 161-169, 2009
692009
Fuzzy logic model for prediction of mechanical properties of lightweight concrete exposed to high temperature
H Tanyildizi
Materials & Design 30 (6), 2205-2210, 2009
672009
Prediction of the strength properties of carbon fiber‐reinforced lightweight concrete exposed to the high temperature using artificial neural network and support vector machine
H Tanyildizi
Advances in civil engineering 2018 (1), 5140610, 2018
622018
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
522021
Variance analysis of crack characteristics of structural lightweight concrete containing silica fume exposed to high temperature
H Tanyildizi
Construction and Building Materials 47, 1154-1159, 2013
492013
An artificial neural network approach for prediction of long-term strength properties of steel fiber reinforced concrete containing fly ash
O Karahan, H Tanyildizi, CD Atis
Journal of Zhejiang University-SCIENCE A 9, 1514-1523, 2008
452008
Predicting the geopolymerization process of fly ash-based geopolymer using deep long short-term memory and machine learning
H Tanyildizi
Cement and Concrete Composites 123, 104177, 2021
422021
Determination of the principal parameter of ultrasonic pulse velocity and compressive strength of lightweight concrete by using variance method
AC H. TANYILDIZI
Russian Journal of Nondestructive Testing 44 (9), 639-646, 2008
362008
Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures
H Tanyildizi, A Şengür, Y Akbulut, M Şahin
Frontiers of Structural and Civil Engineering 14, 1316-1330, 2020
352020
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20