Prof.Dr. Serkan Tapkin
Prof.Dr. Serkan Tapkin
Director of Graduate School of Sciences and Engineering at Antalya Bilim University
Verified email at - Homepage
TitleCited byYear
The effect of polypropylene fibers on asphalt performance
S Tapkın
Building and Environment 43 (6), 1065-1071, 2008
Repeated creep behavior of polypropylene fiber-reinforced bituminous mixtures
S Tapkın, Ü Uşar, A Tuncan, M Tuncan
Journal of Transportation Engineering 135 (4), 240-249, 2009
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
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
Mechanical evaluation of asphalt–aggregate mixtures prepared with fly ash as a filler replacement
S Tapkın
Canadian Journal of Civil Engineering 35 (1), 27-40, 2008
A mathematical model for predicting stripping potential of Hot Mix Asphalt
HF Haghshenas, A Khodaii, M Khedmati, S Tapkin
Construction and Building Materials 75, 488–495, 2015
Improved asphalt aggregate mix properties by portland cement modification
S Tapkin
M.Sc. thesis, Middle East Technical University, Civil Engineering Department …, 1998
Rutting analysis of 100 mm diameter polypropylene modified asphalt specimens using gyratory and Marshall compactors
S Tapkın, M Keskin
Materials Research 16 (2), 546-564, 2013
Estimation of polypropylene concentration of modified bitumen images by using k-NN and SVM classifiers
S Tapkın, B Şengöz, G Şengül, A Topal, E Özçelik
Journal of Computing in Civil Engineering 29 (5), 04014055, 2013
Determination of the optimal polypropylene fiber addition to the dense bituminous mixtures by the aid of mechanical and optical means
S Tapkin, Ş Özcan
Baltic Journal of Road & Bridge Engineering 7 (1), 2012
Polypropylene fiber-reinforced bitumen
S Tapkin, Ü Uşar, Ş Özcan, A Çevik
Polymer Modified Bitumen, 136-194, 2011
A recommended neural trip distribution model
Utilising neural networks and closed form solutions to determine static creep behaviour and optimal polypropylene amount in bituminous mixtures
S Tapkın, A Çevik, Ş Özcan
Materials Research 15 (6), 865-883, 2012
Optimal polypropylene fiber amount determination by using gyratory compaction, static creep and Marshall stability and flow analyses
S Tapkın
Construction and Building Materials 44, 399-410, 2013
Rutting prediction of asphalt mixtures modified by polypropylene fibers via repeated creep testing by utilising genetic programming
S Tapkin, A Çevik, Ü Uşar, E Gülşan
Materials Research 16 (2), 277-292, 2013
Estimation Of Concrete Compressive Strength By Using Ultrasonic Pulse Velocities And Artificial Neural Networks
S Tapkın, M Tuncan, Ö Arıöz, A Tuncan, K Ramyar
Conference for Computer-Aided Engineering and System Modeling, 2006
A new approach to neural trip distribution models: NETDIM
S Tapkın, Ö Akyılmaz
Transportation Planning and Technology 32 (1), 93-114, 2009
Portland Çimentosu Kullanılarak Hazırlanan Marshall Numunelerinin Özelliklerinin İncelenmesi
SO Acar, S Tapkın
Asfalt’98, 2. Ulusal Asfalt Sempozyumu, Ankara, 95-104, 1998
Modelling Marshall Design Test Results of Polypropylene Modified Asphalt by Genetic Programming Techniques
S Tapkin, A Çevik, Ü Uşar, A Kurtoğlu
Periodica Polytechnica Civil Engineering 59 (3), 249-265, 2015
Polypropylene Fiber Modification of Asphalt by Using Mechanical and Optical Means
S Tapkın, Ş Özcan, M Tuncan, A Tuncan
7th International RILEM Symposium on Advanced Testing and Characterization …, 2009
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