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Toplam kayıt 7, listelenen: 1-7
Polypropylene fiber-reinforced bitumen
(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. ...
Rutting Prediction of Asphalt Mixtures Modified by Polypropylene Fibers via Repeated Creep Testing by Utilising Genetic Programming
(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 ...
Modelling Marshall Design Test Results of Polypropylene Modified Asphalt by Genetic Programming Techniques
(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 ...
Accumulated strain prediction of polypropylene modified marshall specimens in repeated creep test using artificial neural networks
(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 ...
Repeated Creep Behavior of Polypropylene Fiber-Reinforced Bituminous Mixtures
(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 ...
Prediction of Marshall test results for polypropylene modified dense bituminous mixtures using neural networks
(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
(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, ...