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 | 233 | 2018 |
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 | 179 | 2012 |
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 | 155 | 2011 |
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 | 142 | 2018 |
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 | 140 | 2019 |
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 | 129 | 2010 |
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 | 117 | 2016 |
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 | 104 | 2015 |
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 | 104 | 2006 |
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 | 103 | 2016 |
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 | 102 | 2006 |
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 | 100 | 2009 |
Genetic programming-based attenuation relationship: an application of recent earthquakes in turkey AF Cabalar, A Cevik Computers & Geosciences 35 (9), 1884-1896, 2009 | 95 | 2009 |
Neural network modeling of strength enhancement for CFRP confined concrete cylinders A Cevik, IH Guzelbey Building and Environment 43 (5), 751-763, 2008 | 95 | 2008 |
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 | 93 | 2009 |
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 | 79 | 2019 |
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 | 76 | 2012 |
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 | 75 | 2010 |
A new formulation for longitudinally stiffened webs subjected to patch loading A Cevik Journal of Constructional Steel Research 63 (10), 1328-1340, 2007 | 73 | 2007 |
Modeling strength enhancement of FRP confined concrete cylinders using soft computing A Cevik Expert Systems with Applications 38 (5), 5662-5673, 2011 | 70 | 2011 |