Yazar "Uşar, Ün" için listeleme
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Accumulated strain prediction of polypropylene modified marshall specimens in repeated creep test using artificial neural networks
Tapkın, Serkan; Çevik, Abdükadir; Uşar, Ün (Pergamon-Elsevier Science LTD, 2009)This study presents an application of artificial neural networks (ANN) for the prediction of repeated creep test results for polypropylene (PP) modified asphalt mixtures. Polypropylene fibers are used to modify the bituminous ... -
Modelling Marshall Design Test Results of Polypropylene Modified Asphalt by Genetic Programming Techniques
Tapkın, Serkan; Çevik, Abdükadir; Uşar, Ün; Kurtoğlu, Ahmet (Budapest University Technology Economics, 2015)Determining Marshall design test results is time consuming. If the researchers can obtain stability and flow values by mechanical testing, rest of the calculations will just be mathematical manipulations. Marshall stability ... -
Polipropilen ve fiber katkılı yoğun bitümlü karışımların tekrarlı sünme deneyindeki reolojik davranışlarının incelenmesi
Uşar, Ün (Anadolu Üniversitesi, 2007)Son yıllarda ülkemizde ve dünyada trafik hacimlerinde belirgin artışlar görülmektedir. Bu sebepten dolayı başta Amerika ve Kanada olmak üzere Avrupa ülkelerinde bu artan trafik hacimlerini karşılayabilmek için daha kaliteli ... -
Polypropylene fiber-reinforced bitumen
Tapkın, Serkan; Uşar, Ün; Özcan, S.; Çevik, A. (Woodhead Publ LTD, 2011)This chapter discusses the physical and mechanical behaviour of polypropylene fiber-reinforced modified asphalt mixtures. The chapter first reviews a general introduction to polypropylene modification of asphalt concrete. ... -
Prediction of Marshall test results for polypropylene modified dense bituminous mixtures using neural networks
Tapkın, Serkan; Çevik, Abdükadir; Uşar, Ün (Pergamon-Elsevier Science LTD, 2010)This study presents an application of neural networks (NN) for the prediction of Marshall test results for polypropylene (PP) modified asphalt mixtures. PP fibers are used to modify the bituminous binder in order to improve ... -
Prediction of rutting potential of dense bituminous mixtures with polypropylene fibers via repeated creep testing by using neuro-fuzzy approach
Tapkın, Serkan; Çevik, Abdükadir; Uşar, Ün (Budapest University Technology Economics, 2012)This study investigates the potential use of the neuro-fuzzy (NF) approach to model the rutting prediction by the aid of repeated creep testing results for polypropylene modified asphalt mixtures. Marshall specimens, ... -
Repeated Creep Behavior of Polypropylene Fiber-Reinforced Bituminous Mixtures
Tapkın, Serkan; Uşar, Ün; Tuncan, Ahmet; Tuncan, Mustafa (Asce-Amer Soc Civil Engineers, 2009)In recent years, research has been devoted to the control of permanent deformations in flexible pavements. In order to prevent rutting, fatigue, and low-temperature cracking, different types of polymer modifiers have been ... -
Rutting Prediction of Asphalt Mixtures Modified by Polypropylene Fibers via Repeated Creep Testing by Utilising Genetic Programming
Tapkın, Serkan; Çevik, Abdükadir; Uşar, Ün; gülsan, Eren (University Fed Sao Carlos, Dept Engenharia Materials, 2013)A novel application of genetic programming (GP) for modelling and presenting closed form solutions to the rutting prediction for polypropylene (PP) modified asphalt mixtures is investigated. Various PP fibers have been ...
