关注
Prof. Dr. Abdulkadir Cevik
Prof. Dr. Abdulkadir Cevik
其他姓名Türkiye Bilimler Akademisi A. Üyesi
University of Gaziantep / Civil Engr. Department
在 gantep.edu.tr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Effect of nano-silica on the chemical durability and mechanical performance of fly ash based geopolymer concrete
A Çevik, R Alzeebaree, G Humur, A Niş, ME Gülşan
Ceramics International 44 (11), 12253-12264, 2018
2332018
Some applications of adaptive neuro-fuzzy inference system (ANFIS) in geotechnical engineering
AF Cabalar, A Cevik, C Gokceoglu
Computers and Geotechnics 40, 14-33, 2012
1792012
Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network
A Cevik, EA Sezer, AF Cabalar, C Gokceoglu
Applied Soft Computing 11 (2), 2587-2594, 2011
1552011
Mechanical and durability properties of fly ash and slag based geopolymer concrete
AE Kurtoglu, R Alzeebaree, O Aljumaili, A Nis, ME Gulsan, G Humur, ...
Advances in concrete construction 6 (4), 345, 2018
1422018
On the rheology of using geopolymer for grouting: A comparative study with cement-based grout included fly ash and cold bonded fly ash
H Güllü, A Cevik, KMA Al-Ezzi, ME Gülsan
Construction and Building Materials 196, 594-610, 2019
1402019
Prediction of Marshall test results for polypropylene modified dense bituminous mixtures using neural networks
S Tapkın, A Çevik, Ü Uşar
Expert Systems with Applications 37 (6), 4660-4670, 2010
1292010
Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming
S Alemdag, Z Gurocak, A Cevik, AF Cabalar, C Gokceoglu
Engineering Geology 203, 70-82, 2016
1172016
Support vector machines in structural engineering: a review
A Çevik, AE Kurtoğlu, M Bilgehan, ME Gülşan, HM Albegmprli
Journal of Civil Engineering and Management 21 (3), 261-281, 2015
1042015
Prediction of web crippling strength of cold-formed steel sheetings using neural networks
IH Guzelbey, A Cevik, A Erklig
Journal of Constructional Steel Research 62 (10), 962-973, 2006
1042006
Modelling the fresh properties of self-compacting concrete using support vector machine approach
M Sonebi, A Cevik, S Grünewald, J Walraven
Construction and Building materials 106, 55-64, 2016
1032016
Prediction of rotation capacity of wide flange beams using neural networks
IH Guzelbey, A Cevik, MT Gögüş
Journal of Constructional Steel Research 62 (10), 950-961, 2006
1022006
Accumulated strain prediction of polypropylene modified marshall specimens in repeated creep test using artificial neural networks
S Tapkın, A Çevik, Ü Uşar
Expert Systems with Applications 36 (8), 11186-11197, 2009
1002009
Genetic programming-based attenuation relationship: an application of recent earthquakes in turkey
AF Cabalar, A Cevik
Computers & Geosciences 35 (9), 1884-1896, 2009
952009
Neural network modeling of strength enhancement for CFRP confined concrete cylinders
A Cevik, IH Guzelbey
Building and Environment 43 (5), 751-763, 2008
952008
Genetic programming based formulation for fresh and hardened properties of self-compacting concrete containing pulverised fuel ash
M Sonebi, A Cevik
Construction and Building Materials 23 (7), 2614-2622, 2009
932009
Mechanical properties and durability of unconfined and confined geopolymer concrete with fiber reinforced polymers exposed to sulfuric acid
R Alzeebaree, A Çevik, B Nematollahi, J Sanjayan, A Mohammedameen, ...
Construction and Building Materials 215, 1015-1032, 2019
792019
Triaxial compression behavior of sand and tire wastes using neural networks
A Edincliler, AF Cabalar, A Cagatay, A Cevik
Neural Computing and Applications 21, 441-452, 2012
762012
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
752010
A new formulation for longitudinally stiffened webs subjected to patch loading
A Cevik
Journal of Constructional Steel Research 63 (10), 1328-1340, 2007
732007
Modeling strength enhancement of FRP confined concrete cylinders using soft computing
A Cevik
Expert Systems with Applications 38 (5), 5662-5673, 2011
702011
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