Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(82)
- Akkurt, Nevzat(67)
- Güler, Ömer(66)
- Baskonus, Haci Mehmet(62)
- Bulut, Hasan(60)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Yucesan, Melih(43)
- Yildirim, Numan(42)
- Yildirim, Nuran Cikcikoglu(38)
- Paksoy, Mehmet Yavuz(36)
- Serdar, Osman(36)
- Zengin, Gokhan(36)
- Ince, Muharrem(34)
- Celik, Erkan(33)
- Benzer, Fulya(32)
- Kocabaş, Mehmet(30)
- Sulaiman, Tukur Abdulkadir(30)
- Tanyol, Mehtap(29)
- Yildirim, Ozal(28)
- Aslan, Naim(26)
- Kök, Mediha(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Danabas, Durali(25)
- Kutluyer, Filiz(25)
- Can, Erkan(24)
- Kutlu, Banu(23)
- Onat, Onur(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Güler, Seval Hale(21)
- Yaman, Mehmet(21)
- Baykal, Duygu Sen(20)
- Sançar, Taylan(20)
- Susam, Selim Orhun(20)
- Cakilcioglu, Ugur(19)
- Orhan, Cemal(19)
Yayınlar
- MakaleAçık Erişim2019Scopus SJRQ1Convolutional neural networks for multi-class brain disease detection using MRI images
Talo, Muhammed; Yildirim, Ozal; Baloglu, Ulas Baran; Aydin, Galip; Acharya, U Rajendra
The brain disorders may cause loss of some critical functions such as thinking, speech, and movement. So, the early detection of brain diseases may help to get the timely best treatment. One of the conventional methods used to diagnose these disorders is the magnetic resonance imaging (MRI) technique. Manual diagnosis of brain abnormalities is time-consuming and difficult to perceive the minute changes in the MRI images, especially in the early stages of abnormalities. Proper selection of the features and classifiers to obtain the highest performance is a challenging task. Hence, deep learning models have been widely used for medical image analysis over the past few years. In this study, we have employed the AlexNet, Vgg-16, ResNet-18, ResNet-34, and ResNet-50 pre-trained models to automatically classify MR images in to normal, cerebrovascular, neoplastic, degenerative, and inflammatory diseases classes. We have also compared their classification performance with pre-trained models, which are the state-of-art architectures. We have obtained the best classification accuracy of 95.23% ± 0.6 with the ResNet-50 model among the five pre-trained models. Our model is ready to be tested with huge MRI images of brain abnormalities. The outcome of the model will also help the clinicians to validate their findings after manual reading of the MRI images.
AtıfScopus276OpenAlex301
İncele - MakaleAçık Erişim2019Scopus SJRQ2Classification of multiple power quality events via compressed deep learning
Liu, Hui; Hussain, Fida; Yue, Shen; Yildirim, Ozal; Yawar, Sheikh Junaid
This paper presents a recently established compressed sensing (CS) and sparse autoencoder (SAE) based on deep learning (DL) method for classification of single and multiple power quality disturbances (PQDs). The CS technique is paying considerable attention in recent years due to below sampling rate comparatively Nyquist sampling. Initially, the CS technique is applied to extract the features of PQD waveforms. The extracted features are applied as inputs to the sparse autoencoder based on DL for classification of nine single and 22 combined classes of PQDs. The DL helps to remove a redundant feature and improves classification performance. Finally, backpropagation is applied to fine-tune the entire network. The effectiveness of the proposed algorithm has been tested with more than 6580 numbers of real and synthetic single and multiple PQD data, and the results are recorded. High correct classification rate is obtained with noise and without noise level. Noise level was considered from 20 to 50 dB. The performance of the proposed technique has been assessed by comparing the results against recently reported methods. Results show that the proposed CS- and SAE-based DL algorithms can be efficiently used for single and multiple PQDs classifications.
AtıfScopus28OpenAlex28İncele - MakaleAçık Erişim2019Scopus SJRQ3Fuzzy-logic-based robust speed control of switched reluctance motor for low and high speeds
Omaç, Zeki
Switched reluctance motor (SRM) is operated at high magnetic saturation to generate large torque. The flux linkage of SRM is a nonlinear function with phase current and rotor position because of the high magnetic saturation. Also, the performance of the speed controller for the SRM driver system can be negatively affected by noise, disturbances, and inertia of load torque. Therefore, the fuzzy speed controller for the SRM driver system was developed in this study. In addition, a dynamic model of SRM was simulated in Matlab/Simulink software. Based on the results obtained in this study, the speed of the SRM was controlled over a wide range of speeds including low and high speeds by the fuzzy speed controller. Furthermore, in simulation, the rotor speed was simulated depending on the reference speed. Moreover, the speed of the SRM was experimentally tested using the DS1103 Ace kit. Finally, simulation results were compared with experimental results and they were found to be consistent with each other.
AtıfScopus10WoS5OpenAlex9TR Dizin3
İncele - MakaleYalnız künye2019Scopus SJRQ3Assessment of the mass attenuation coefficients of granite, basalt, andesite and tuff stones with the Geant4 model of a high-purity germanium detector
Aşkin, A.; Dal, M.
In this work, the radiation shielding properties of various natural stones, such as granite, basalt, andesite and tuff, were determined by using Monte-Carlo simulations performed with the Geant4 model of a high-purity germanium (HPGe) detector. Mass attenuation coefficients were calculated for γ-ray energies of 80.9, 140.5, 356.5, 661.6, 1173.2 and 1332.5 keV and for the sample thicknesses between 1 and 7 cm. The results of this study indicate that the stone samples have lower mass attenuation values varying in the range from - 28.8 % to - 3.7 % compared to lead. Among the measured stone samples, the mass attenuation values of tuff stone are closest to lead (above 661.6 keV).
AtıfScopus7WoS6OpenAlex8İncele - MakaleYalnız künye2019Scopus SJRQ3Palliative effect of curcumin on doxorubicin-induced testicular damage in male rats
Aksu, Emrah Hicazi; Kandemir, Fatih Mehmet; Yıldırım, Serkan; Küçükler, Sefa; Dörtbudak, Muhammed Baheeddin; Çağlayan, Cüneyt; Benzer, Fulya
This study aimed to investigate the effect of curcumin (CUR) on doxorubicin (DOX)-induced testicular damage in male rats. Thirty-five adult male Wistar rats were used. Control group was received saline for 7 days. CUR group received CUR for 7 days. DOX group received single dose DOX on the 5th day. DOX+ CUR-100 group received 100 mg/kg/day CUR for 7 days and DOX injection on the 5th day. DOX + CUR-200 group received 200 mg/kg/day CUR for 7 days and DOX injection on the 5th day. DOX treatment decreased in sperm motility rate, live sperm percentages, cellular antioxidants, and increased malondialdehyde (MDA) levels, necrosis, degenerations, and slimming in seminiferous tubules, and DNA damages in testes by inducing oxidative stress. CUR treatment mitigated significantly these side effects when compared with DOX group in a dose-dependent manner. In conclusion, CUR treatment can be used in the mitigation of DOX-induced testicular toxicity.
AtıfScopus56WoS51OpenAlex68İncele - MakaleAçık Erişim2019Scopus SJRQ2The epiphytic bryophyte vegetation of Kamilet Valley (Artvin, Turkey)
Alataş, Mevlüt; Batan, Nevzat; Ezer, Tülay
In this study, the vegetation of epiphytic bryophytes in the Kamilet Valley and its surroundings (Arhavi, Artvin) was investigated. The study area is located within the borders of the Eastern Black Sea Mountains and is one of the 122 important plant areas in Turkey. The investigation of epiphytic bryophyte communities was carried out in 2016 during different vegetation periods according to Braun-Blanquet’s phytosociological methodology. Phytosociological data obtained from 65 relevés were ordinated using detrended correspondence analysis (DECORANA) and classified using two-way indicator species analysis (TWINSPAN). Consequently, six epiphytic bryophyte communities new to Turkey were determined with TWINSPAN and DECORANA: Leucobryo-Tetraphidetum pellucidae, Anomodonto attenuati-Neckeretum crispae, Frullanio tamarisci-Exsertothecetum crispae, Ulotetum crispae, Anomodonto attenuati-Neckeretum crispae-leucodontetosum sciuroidis, and Ulotetum crispae-isothecietosum alopecuroidis. All syntaxa are presented by analyzing them in terms of their ecological and floristic classifications.
AtıfScopus10WoS9OpenAlex16TR Dizin10İncele - MakaleYalnız künye2019Scopus SJRQ2Design and development of travelling-wave-frequency-based transmission line fault locator using TMS320 DSP
Arkan, Müslüm; Akmaz, Düzgün; Mamiş, Mehmet S.; Tağluk, Mehmet Emin
The authors use a TMS320 digital signal processor (TMS320-DSP) to determine fault instants and estimate their location in real time in a laboratory environment. The fault instant is determined via examining the instantaneous differential changes in the line currents. After the fault is detected, the fault location is determined by processing the time-domain transient current waves. First, the travelling-wave frequency is determined by application of the fast Fourier transform to the positive-sequence-component line current after the fault, and subsequently, the fault location is estimated by utilising this frequency. The alternative transients programme (ATP)–electromagnetic transient programme is used to simulate the line currents and create short-circuit fault conditions. Furthermore, LabVIEW software and a National Instruments data acquisition board are used to transform the line currents obtained through the ATP programme into analogue signals. The TMS320-DSP determines the fault in real time and estimates the fault location using the completed software and analogue input signals. Their results indicate that the prototype device designed with the use of the TMS320-DSP is suitable for real-time fault detection.
AtıfScopus16WoS16OpenAlex16İncele - MakaleAçık Erişim2019Scopus SJRQ4Modeling approach with Box-Behnken design for optimization of Pb bioaccumulation parameters in Gammarus pulex (L., 1758)
Pala, Aysegul; Serdar, Osman; Ince, Muharrem; Onal, Ali
The aim of this research was to evaluate the suitability of Gammarus pulex (L., 1758), an amphipod crustacean, as a bio-monitor for lead (Pb). A Box– Behnken experimental approach combined with response surface modeling (RSM) and quadratic programming was employed to increase the knowledge about Pb2+ bioaccumulation in Gammarus pulex (L., 1758). Independent variables, such as temperature ranging from 18 to 22 ºC, contact time from 8 to 48 hours, and Pb2+ ion solution concentrations from 50 to 100 µg L-1, were studied and tested using analysis of variance (ANOVA). The standardized effects of the independent variables and their interactions on the dependent variable were also investigated according to a Pareto chart. The selected variables' optimum values were obtained by solving the quadratic regression model along with analyzing the response surface contour plots. Optimum experimental conditions were obtained at 22.0 ºC, contact time of 8 hours, and Pb concentration at 69.5 µg L-1. Based on the Box-Behnken design, the applied model is significant because the model F-value and R2 were obtained at 77.80 and 0.9901, respectively. Bioaccumulation of Pb was determined using electrothermal atomic absorption spectrometry (ETAAS). The obtained data suggest that G. pulex can be used as a Pb biomonitor.
AtıfScopus4WoS6OpenAlex6İncele - BildiriAçık Erişim2019A Hybrid recommendation system in co-Authorship networks
Aslan, Serpil; Kaya, Mehmet
Recommender systems are an important field that aim to direct users more quickly to their needs. Scientific research studies in academic field are mostly carried out by collaboration between scientists. Finding new collaborations and analyzing the quality of them are quite complicated situations. Therefore, developing a system that recommend strong collaborations for scientists can be an invaluable tool. In this study, we present a hybrid recommendation method that uses both collaborative filtering and a network-based method by examining the structure of the co-Authorship network that was created by using a real database of scientific articles in computer science. In the constructed network, the nodes represent scientists and links represent the coauthorship relationships. If two scientists in the network have been co-Author of at least one article, they are considered to be connected. Many of the present recommendation methods in this area take into account only the common neighbors of the nodes, while calculating the similarity of the node pairs in the network. To overcome these limited methods, we use the local community-based similarity indexes which also take into account the similarities between the common neighbors of the nodes. When the experimental results are examined, they prove the success of the proposed method.
AtıfScopus7WoS3OpenAlex6İncele - MakaleYalnız künye2019Scopus SJRQ1Fabrication, characterization of poly(MA-co-NIPA)-graphene composites and optimization the dielectric properties using the response surface method (RSM)
Torğut, Gülben
Poly(Maleic anhydride-N-isopropyl acrylamide poly(MA-co-NIPA) copolymer was synthesized by Free radical polymerization method. Response surface methodology (RSM) was used for optimizing the dielectric constant (έ) and dielectric loss factor (ε՛՛). The aim of this study is to determine the quantitative relationship between selected parameters (frequency, applied voltage and graphene content) at room temperature. The importance of process parameters in the model is assessed by analysis of variance (ANOVA) investigation. Our results show that, with increasing the frequency the έ and ε՛՛ of the polymers decreases, whereas voltage has no significant effect on έ and ε՛՛ of the composites. With the incorporation of graphene into poly(MA-co-NIPA) the έ and ε՛՛ considerably increased by 244% and 387% respectively. The model predicted the maximum value of the έ (13) when the frequency was set at 4506, the voltage was set at 1.45, and the graphene content was set at 14.97 wt%. Also, the RSM indicated that maximum ε՛՛ (1969) was achieved at the frequency of 512, at the voltage of 20.44, and at the graphene content of 14.76 wt%. The morphology of composites was investigated by scanning electron microscopy (SEM). SEM results demonstrated that the poly(MA-co-NIPA)-graphene composites has interconnected and they form different morphologies with the increase of GNs content. ATR tests showed that no significant change in chemical bond and crystallization is found in composites.
AtıfScopus16WoS17OpenAlex21İncele - MakaleAçık Erişim2019Scopus SJRQ3Effect of the organophosphate insecticide chlorpyrifos exposure on oxidative stress and quality of Salmo coruhensis spermatozoa
Kutluyer, Filiz; Kocabaş, Mehmet; Erişir, Mine; Benzer, Fulya
The use of pesticides has been increasing along with increasing farming activities and has caused deleterious environmental impacts. Non-target organisms in particular, including fish, are affected by pesticides. In this work, the impacts of Chlorpyrifos (CPF) on sperm oxidative stress markers and sperm motility were investigated in vitro. CPF concentrations were 0 μg/L (control), 5 μg/L, 10 μg/L and 15 μg/L. Lipid peroxidation [malondialdehyde (MDA)], nonenzymatic antioxidants [glutathione (GSH)] and enzymatic [superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) and catalase (CAT)] activities in sperm cells were examined for the determination of oxidative stress status. Our findings showed that motility and survival of sperm cells significantly decreased with exposure to Chlorpyrifos. Biochemical assays revealed that CAT activity and levels of MDA and, GSH increased in spermatozoa based on CPF concentration while activity of GSH-Px and SOD decreased. Consequently, spermatozoa were highly sensitive to CPF exposure. It can be deduced that CPF has the potential to disrupt sperm quality and to cause to oxidative stress in sperm cells of S. coruhensis.
AtıfScopus15WoS14OpenAlex13İncele - MakaleYalnız künye2019Scopus SJRQ1Research of thermal performance by metallographic investigation of stator winding solder region in hydroelectric power plants
Kahraman, Gökhan; Taşgın, Yahya
Hydroelectric power plants are the most widely used renewable energy sources all over the world. In these plants, many studies have been conducted in order to produce energy continuously and efficiently. Among these studies, predictive maintenance methods, efforts to increase power by improving cooling conditions, and improving efficiency by improving the turbine wheel. In this paper, soldering at the junctions of the stator windings in the central generators has been investigated. Traditional solder (Cu–Zn) materials and silver alloy solders (Ag-Cu-Zn) have been investigated in terms of thermal and metallographic. Silver alloy soldering has been found to have lower electrical conductivity than conventional soldering. The winding temperatures measured on the generating generator show that silver alloy soldering is more efficient. Reducing the stator winding temperature in hydroelectric power plants allows more energy production and also reduces costs by preventing winding failures.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2019Scopus SJRQ1An investigation on physical, structural and gamma ray shielding features of Dy3+ ions doped Telluroborate glasses
Sathiyapriya, G.; Marimuthu, K.; Sayyed, M.I.; Askin, A.; Agar, O.
Structural, physical and gamma ray shielding properties of Dy3+ doped telluroborate glasses have been discussed. The molar volume of the glasses is proportional to the TeO2 content. The FTIR studies investigate the expansion of TeO2 content and the dynamic change of tetrahedral [BO4] units into trigonal [BO3] units. Using the absorption spectra, optical band gap (Eg) and Urbach's energy (ΔE) values are calculated. The molar volume of oxygen (VO) and boron‑boron separation (<dB–B>) values are increasing while there is a fall in oxygen packing density (OPD) from 0% to 40% of TeO2. The ionic nature of the present glasses is analyzed from the bonding parameter (δ), optical basicity (Λth), covalent and ionic characteristic factors. The gamma photon attenuation investigated employing GEANT4 code. The transmission factor (TF) shows that 0TBD sample (0 wt% of TeO2) has the highest TF, while the 4TBD sample (40 wt% of TeO2) has the lowest TF.
AtıfScopus42İncele - MakaleAçık Erişim2019Scopus SJRQ2Predicting potential links by using strengthened projections in evolving bipartite networks
Aslan, Serpil; Kaya, Buket; Kaya, Mehmet
The link prediction problem can be used for predicting the link changes that are difficult to understand and costly in network science. So far, many different models have been proposed to predict links in the network. Most of the proposed models in the link prediction have focused on the unimodal networks. In this paper, we present a link prediction model that attempts to predict links in the large-scale bipartite networks. The proposed method consists of two stages: The first stage is the extraction of the potential link set. A limitation of the previous works that addressed the link prediction problem in bipartite networks is that only the structural properties of the projected networks that were transformed from the bipartite networks are used to extract the potential links. In this paper, in addition to the structural properties of the projected networks, we take into account the structural properties of the bipartite network. Also, we employ the strengthened projection network model instead of the classical projection network models. The second stage is the calculation of prediction score of each potential link. The classical proximity measures have several disadvantages in dynamic complex networks. When network evolution that considers valuable information between node pairs are ignored, the potential information source is not efficiently used in the link prediction. Therefore, in this stage, we propose a time-aware proximity measure based on social network evolution, instead of classical proximity measures using the current state of the network. To the best of our knowledge, this is the first effort that considers the evolution in bipartite networks. To test the performance of the proposed method, we made some experiments on two real networks that have different frame size. Experimental results show that the success of our method is promising.
AtıfScopus14WoS5OpenAlex9İncele - MakaleAçık Erişim2019Scopus SJRQ3Correlation between smartphone addiction and dysfunctional attitudes in nursing/midwifery students
Serin, Emine Kaplan; Durmaz, Yadigar Çevik; Polat, Hilal Türkmen
Purpose: The aim of this study is to determine the correlation between smartphone addiction and dysfunctional attitudes. Design and Methods: This descriptive study was conducted with the students of Nursing/Midwifery Department of a state university from March 01 to April 01, 2018. Findings: Participant students had a mean score of 27.25 ± 11.41 in smartphone addiction scale and a mean score of 27.96 ± 14.74 in dysfunctional attitudes scale. The number of students' friends was found to affect their problem solving skills. Loneliness levels of participant students affected their dysfunctional attitude scores. Practice Implications: It is highly important for our country to have sufficient knowledge of smartphone addiction, detect the dysfunctional attitudes and develop nursing care methods.
AtıfScopus11WoS10OpenAlex14İncele - MakaleAçık Erişim2019Scopus SJRQ1Surface morphology, spectroscopy, optical and conductivity properties of transparent poly(9-vinylcarbazole) thin films modified with graphene oxide
Aydin, Handan; Gündüz, Bayram; Aydin, Cihat
In this work, we synthesized the graphene oxide by Hummers method and prepared poly-N-vinylcarbazole (PVK)/graphene oxide (GO) nanocomposites. We investigated the SEM images, FTIR and UV spectroscopy and ac conductivity properties of PVK:wt% (0, 1, 5, 10, 15%) GO nanocomposites thin films. The PVK and PVK/GO nanocomposites are dominant in near ultraviolet region. The absorption band edge of the films of the PVK/GO nanocomposites varies from 3.077 to 3.175 eV, while the allowed optical band gap of the 0, 1, 5, 10 and 15% wt. GO + PVK nanocomposites varies from 2.97 to 3.30 eV. The optical band gap and refractive indices of the PVK can be changed with increasing the percentage by weight of graphene oxide. The single oscillator energy varies from 3.358 to 3.670 eV, while the dispersion energy varies from 6.404 to 6.970 eV. The graphene oxide has an important effect on the ac conductivity of the PVK. Obtained results show that the PVK material modified with graphene oxide is promising for electronic, optical and optoelectronic technology.
AtıfScopus20WoS20OpenAlex22İncele - MakaleYalnız künye2019Scopus SJRQ2Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment
Mete, Suleyman
The aim of natural gas pipeline projects is generally to make it possible to transfer the natural gas produced from one place to another. There are various safety risks for these broad construction systems. Therefore, to reduce the negative effects of emerged risks, a new risk assessment approach for occupational health and safety (OHS) is needed. In this paper, FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy sets is proposed for assessing occupational risks in a natural gas pipeline construction project. A case study for concrete coating process of natural gas pipeline project is employed to show the feasibility and effectiveness of the proposed integrated approach. A comparative study, correlation analysis, and sensitivity analysis are also presented to approve the novel risk assessment approach. In conclusion, the integrated approach gives more reasonable results for evaluating the occupational risks in project of pipeline construction using the advantage of Pythagorean fuzzy sets that reflects uncertainty in more suitable way.
AtıfScopus122WoS103OpenAlex124İncele - MakaleAçık Erişim2019Scopus SJRQ2Optimization of microwave apple drying using response surface method; [Yanit yüzey metodu kullanarak mikrodalga ile elma kurutmanin optimizasyonu]
Yoǧurtçu, Hakan
In this study, the effects of microwave output power and slice thickness on microwave drying of apple slices were studied by using response surface method (RSM) in a modified domestic microwave oven. For experimental design, the central composite rotatable design approach was used. The values of response variables, effective diffusion coefficient, drying rate constant, color change, Hue angle, total drying time and energy consumption, were determined from the experiments performed under design conditions. It was seen that the obtained second order polynomial equations successfully represent the response variables. The results of analysis of variance (ANOVA) and response surface curves revealed that microwave output power and slice thickness were significantly effective on response variables. The effects of the independent variables on the responses and the significance level of these effects were evaluated statistically and the optimum drying conditions were determined for the aims of min color change, total drying time, energy consumption and max Hue angle. Verification experiments were performed with a maximum of 9.54% error at the recommended optimum test conditions. It has been shown that the response surface method can be successfully applied in the microwave drying of apples.
AtıfScopus6WoS5OpenAlex3TR Dizin3İncele - MakaleYalnız künye2019Scopus SJRQ2Physical, structural, optical, and radiation shielding properties of B2O3–Gd2O3–Y2O3 glass system
Al-Hadeethi, Y.; Sayyed, M.I.; Kaewkhao, J.; Askin, A.; Raffah, Bahaaudin M.; Mkawi, E.M.; Rajaramakrishna, R.
In the current paper, glass samples were prepared from the composition xGd2O3–(30-x)Y2O3–70B2O3 (where x = 5, 10, 15, 20 and 25 mol%) via the technique of melt-quenching. Various optical parameters and inter-atomic separation were evaluated for the fabricated samples. The results showed that the inter-substitution of Y2O3 content in replacement with Gd2O3 content in the glass matrix shows structural variation in the glass. The density increases from 3.5521 to 4.1613 g/cm3 with increase in Gd2O3 content that signifies the role of Gd2O3 being a glass modifier. The transmission spectra of the glass sample show more than 85% transmittance suggesting their superior transparency in the visible region. Also, several important shielding parameters of the prepared glass system have been computationally determined via the Geant4 model and the results were compared with Phy-X/PDS database software. The results revealed that the mass attenuation factor (µ/ρ) obtained by utilizing the two different toolkits are in agreement. The transmission fraction and the half value layer parameters of the glass system indicate that the glass sample with higher Gd concentration provides a better gamma blocking ability thanks to the high atomic number of Gd.
AtıfScopus31OpenAlex29İncele - MakaleAçık Erişim2019Scopus SJRQ2Effect of gilsonite use on storage stability of styrene-butadiene-styrene modified bitumen
Yalçın, Erkut; Çeloğlu, M. Ertuğrul; Akpolat, Mustafa; Yamaç, Özge Erdoğan; Alataş, Taner; Kök, Baha Vural; Yılmaz, Mehmet
Styrene-butadiene-styrene (SBS) polymer is one of the most preferred additives to improve performance in hot mix asphalt pavements. The storage instability, in other words, the separation of a polymer-rich phase from the bitumen-rich phase in the course of storage and transportation is one of the prevalent problems in SBS modified bitumen. The present study attempted to obtain modified bitumen at the same performance level with the SBS modified bitumen, but stable with respect to the storage stability. For this purpose, both SBS and American Gilsonite (AG) were used in modified bitumen production. It was determined that modified bitumen at the same performance level was obtained with the use of 5 % SBS or 18 % AG in bitumen modification. It was also determined that the performance levels of the modified bitumen obtained with the use of 2 % SBS + 13 % AG, 3 % SBS + 10 % AG and 4 % SBS + 6 % AG were similar. Additionally, 2 %, 3 % and 4 % SBS modified bitumen were used for the assessment of storage stability properties of the SBS modified binders. These 8 different modified bitumen samples were tested for storage stability based on the EN 13399 standard. Penetration, softening point, rotational viscometer, bending beam rheometer, and dynamic shear rheometer tests were conducted on the samples. Based on all conducted tests, it was determined that more stable binders were obtained with the use of AG and SBS in terms of storage stability compared to solely SBS modified bitumen.
AtıfScopus18WoS15OpenAlex15İncele