Sebnem Karahancer
Süleyman Demirel University
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Publication
Featured researches published by Sebnem Karahancer.
Road and Rail Infrastructure V | 2018
Ekinhan Eriskin; Sebnem Karahancer; Kemal Armagan; Caglar Sivri; Serdal Terzi; Mehmet Saltan
The number of heavy vehicles on traffic and traffic volume are extremely increasing nowadays. Consequently, maintenance costs are increasing too. So, durability becomes necessary in asphalt pavement design and construction. For this purpose, asphalt industry partners are investigating innovative technologies and additives for Hot Mix Asphalt (HMA) Pavements. In this study, the utility of Polyamide 6.6, which is a synthetically produced flexible and highly thermoplastic material that have good mechanical and physical properties in terms within the nylon species, was investigated in HMA as a fiber. For examining the test results, specimens were prepared in four different proportions including reference specimens. Volumetric mix design was used to determine the optimum bitumen content. Then Indirect Tensile Strength (ITS) Test was applied to HMA specimens. The aim of this research was to identify the usability of Polyamide 6.6 in HMA mixtures as a fiber, and the engineering properties of the specimens with Polyamide 6.6 fiber.
Road Materials and Pavement Design | 2017
Ekinhan Eriskin; Sebnem Karahancer; Serdal Terzi; Mehmet Saltan; Buket Capali; İsmail Serkan Üncü; Safinur Coskunsu
Lighting the roads and so increasing the visibility is very important to avoid accidents. In this study, an acrylic and UV-react phosphorous paint (PP) is added to the hot mix asphalt for improving the visibility of the pavement. PP has been added to the mixture while blending binder with the mineral aggregates, based on six different ratios (15%, 20%, 25%, 30%, 35% and 40% by weight of binder). Specimens are compacted with the Superpave Gyratory Compactor according to the volumetric mix design. Compacted specimens are photographed in a dark box under UV light and the change in visibility ratio is analysed with a software. Compacted specimens are analysed with an image analysing software to obtain the change in the visibility. PP-added specimens are tested in accordance with AASHTO T283 to obtain the indirect tensile strength and tensile strength ratio values to determine whether the minimum specification limits are ensured. As a result, by adding the PP, the visibility ratio of the specimens is increased. Best visibility rate is achieved by 35–40% PP additive.
2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) | 2017
Nihat Morova; Ekinhan Eriskin; Serdal Terzi; Sebnem Karahancer; Sercan Serin; Mehmet Saltan; Pınar Usta
In this study, an Adaptive Neural Fuzzy Inference System (ANFIS) model for predicting the Marshall Stability (MS) of basalt fiber reinforced asphalt concrete mixtures and various mix proportions has been developed. Experimental details were used to construct the model. The amounts of bitumen (%), Fiber (Basalt) Ratio (%) were used as input variables and Marshall Stability (kg) values were used as output variables. Statistical equations were used to evaluate the Developed ANFIS model. Results showed that developed ANFIS model has strong potential to predict Marshall Stability of asphalt concrete using related inputs in a short time. Also, the Marshall Stability of Fiber-Reinforced asphalt concrete and various mix proportions can be found without performing any experiments.
international symposium on innovations in intelligent systems and applications | 2016
Sebnem Karahancer; Buket Capali; Ekinhan Eriskin; Nihat Morova; Sercan Serin; Mehmet Saltan; Serdal Terzi; Dicle Ozdemir Kucukcapraz
Due to the complex behaviour of asphalt pavement materials under various loading conditions, pavement structure, and environmental conditions, accurately predicting stability of asphalt pavement is difficult. To predict, it is required to find the mathematical relation between the input and output data by an accurate and simple method. In recent years, artificial neural networks (ANNs) have been used to model the properties and behaviour of materials, and to find complex relations between different properties in many fields of civil engineering applications, because of their ability to learn and to adapt. In the present study, laboratory data are obtained from an experimental study that was used to develop an ANN model. For predicting the Marshall Stability value of mixture using ANN models, an appropriate selection of input parameters (neurons) is essential. There are four nodes in the input layer corresponding to four variables: Polyparaphenylene Terephtalamide fibre (PTF) rate, binder rate, flow, volume of the specimen. The result indicates that the proposed model can be applied in predicting Marshall Stability of asphalt mixtures. The model is further applied to evaluate the effect of different rates of Polyparaphenylene Terephtalamide on Marshall Stability.
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi | 2016
Sebnem Karahancer; Ekinhan Eriskin; Buket Capali; Mehmet Saltan; Serdal Terzi
In this paper, the welded tuff waste- known as koyke in Isparta region - was used in the hot mix asphalt (HMA) as mineral filler for reduction of the moisture susceptibility of HMA. Optimum binder content was assessed with Marshall Design Method. First of all, welded tuff was substituted as filler with limestone filler in proportion of 50% and 100%. After that Marshall Stability test was performed on specimens. The results showed that the 50% substitution was more effective than the 100% substitution. Therefore, welded tuff was substituted with limestone filler in proportion of 25%, 50%, 65% and 75%. Next, Indirect Tensile Strength test was practiced on the fabricated specimens and the results were assessed. According to the Indirect Tensile Strength results, welded tuff with 65% was given higher strength than the limestone filler. As a result, it has come up that welded tuff can be used as mineral filler in the hot mix asphalt.
Airfield and Highway Pavements 2015American Society of Civil Engineers | 2015
Sebnem Karahancer; Melek Kiristi; Serdal Terzi; Mehmet Saltan; Aysegul Uygun Oksuz; Lutfi Oksuz
The motivation of this study is using plasma modification to significantly increase the performance of the hot mix asphalt. The surface of mineral filler was modified by using three different components: tungsten disulphide under peroxide (WS2 – H2O2), tungsten disulphide under water (WS2 – H2O) and silicon dioxide (SiO2) nano powders. Hot mix asphalts prepared with plasma modified mineral fillers were evaluated by Marshall Stability (MS) test. According to the results of modified SiO2 plasma samples were showed higher stabilities and better properties. Eco-friendly plasma modification technique provided homogenous, single step and fast processing for the modification of the asphalt materials.
Construction and Building Materials | 2014
Sebnem Karahancer; Melek Kiristi; Serdal Terzi; Mehmet Saltan; Aysegul Uygun Oksuz; Lutfi Oksuz
Construction and Building Materials | 2016
Nihat Morova; Sercan Serin; Serdal Terzi; Mehmet Saltan; D. Ozdemir Kucukcapraz; Sebnem Karahancer; Ekinhan Eriskin
Construction and Building Materials | 2017
Mehmet Saltan; Serdal Terzi; Sebnem Karahancer
Construction and Building Materials | 2016
Sebnem Karahancer; Ekinhan Eriskin; Onur Sarioglu; Buket Capali; Mehmet Saltan; Serdal Terzi