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Öğe ANFIS ve Bulanık Mantık Yöntemlerinin Köpük Bitümün Genleşme Oranı ve Yarılanma Süresi Parametreleri Tahmininde Kullanılabilirliğinin Araştırılması(2020) Terzi, Serdal; Eriskin, Ekinhan; Akbulut, Hüseyin; Erten, Kemal MuhammetTeknolojik gelişmeler sayesinde asfalt üretim sıcaklıkları düşürülerek sıcak karışımlara benzer performanslıkarışımlar elde edilebilmektedir. Sıcak karışım asfaltların malzemelerinin yani agrega ve bitümün yükseksıcaklıklarda ısıtılması nedeniyle yarattıkları olumsuz çevresel etkiler, üretim maliyetlerinde meydana gelensürekli artış ve hammadde kaynaklarındaki azalma nedenleriyle asfalt üretim sıcaklıklarının düşürülmesi eğilimive malzemelerin geri kazanımının popülerliği giderek artmaktadır.Köpük bitüm ve geri kazanılmış/doğal agrega kullanılarak uygulanan köpük bitümle geri kazanım yöntemi,çevresel ve ekonomik olarak avantajları olan bir yöntemdir. Köpük bitümle uygun bir karışım hazırlayabilmekiçin ilk aşama, karışımda kullanılacak bitümün en ideal köpürme özelliklerinin (genleşme oranı ve yarılanmasüresi) doğru şekilde belirlenebilmesidir. Bu nedenle çalışmada, farklı asfalt çimentolarının köpürme özelliklerideneysel olarak belirlenmiştir. Ayrıca deneylerde kullanılan bitümlerin köpürme özellikleri Bulanık Mantık veANFIS yöntemleri kullanılarak modellenmiş ve sonuçlar deneysel olarak elde edilen verilerle kıyaslanmıştır.Elde edilen veriler ışığında kullanılan tüm bitümlerin farklı köpürtme su yüzdeleri için kullanımlarınınliteratürde önerilen minimum köpürme özelliklerini sağladığı ve kullanılan tahminleme yöntemlerinin benzersonuçlarla deneysel verileri desteklediği sonucuna ulaşılmıştır.Öğe Determining amount of bituminous effects on asphalt concrete strength with artificial intelligence and statistical analysis methods(2011) Serin, Sercan; Morova, Nihat; Terzi, Serdal; Sargın, ŞebnemIn this study, an experimental study has been conducted to determine compressive strength of asphalt concrete. The scope of study by preparing 45 Marshall samples Marshall stability experiment was conducted and compressive strength of asphalt concrete was determined. Compressive strength of asphalt concrete as depending on bituminous amount prediction models were developed by using obtained experiment results. Compressive strength of asphalt concrete values as depending on bituminous amount have been estimated on prediction models developed with regression analyses and Artificial Neural Network (ANN) Methods. Results obtained from models were compared with experiment results. Prediction performances of developed models were evaluated as compared. As a result it was determined that possible to estimate the compressive strength of asphalt concrete as depending on bituminous amount with developed ANN model and that ANN model was more successful than regression model for estimating the compressive strength of asphalt concrete. © 2011 IEEE.Öğe Estimation of specific gravity with penetration and penetration index parameters by artificial neural network(International University of Sarajevo, 2017) Serin, Sercan; Karahançer, Şebnem; Erişkin, Ekinhan; Morova, Nihat; Saltan, Mehmet; Terzi, SerdalSpecific Gravity of the bitumen changes according to the ambient temperature. Different specific gravity values can be calculated at different temperature. Estimating models like Artificial Neural Network - ANN could be very useful to obtain the specific gravity value uniform. Specific gravity values obtained from Long-Term Pavement Performance - LTPP were estimated with artificial neural networks. Penetration and Penetration Index of binder were used for estimating the specific gravity of the bitumen. As a result, ANN get 84% of R2 between obtained and estimated values.Öğe Evaluation of rice husk ash as filler in hot mix asphalt concrete(Elsevier Sci Ltd, 2013) Sargın, Şebnem; Saltan, Mehmet; Morova, Nihat; Serin, Sercan; Terzi, SerdalIn the study, it was investigated to use the rice husk ash (RHA) in the hot mix asphalt as mineral filler. For this purpose, four different serial asphalt concrete samples were produced using limestone (LS) in different proportions (4%, 5%, 6%, and 7%) as mineral filler. The amount of optimum bitumen and the value of Marshall Stability (MS) were determined with MS test for the samples. Choosing the series of asphalt having 5% filler which has given the highest stability RHA was changed with LS filler in the rate of 25%, 50%, 75%, and 100%. After that MS test was conducted on the produced samples and the results were evaluated. As a result, it has come in view that RHA can be used as mineral filler in the asphalt concrete. (C) 2013 Elsevier Ltd. All rights reserved.Öğe Investigation of usability of steel fibers in asphalt concrete mixtures(Elsevier Sci Ltd, 2012) Serin, Sercan; Morova, Nihat; Saltan, Mehmet; Terzi, SerdalIn this study, the usability of steel fibers in order to bear the stresses occurring at the surface layer of pavement, which are directly subjected to the traffic effects, was investigated. In this context, specimens were produced and tested under Marshall Stability Test, and the optimum bitumen content value for the aggregates sample to be used was determined. Results showed that based on the determined value for the optimum bitumen content (5.5%), three specimens for each of a series of different fiber rates (0%, 0.25%, 0.50%, 0.75%, 1.0%, 1.5%, 2.0%, 2.5%) were prepared and the optimum value for fiber rate that results in the best stability value was determined as 0.75%. As a result, steel fiber additions can be used in binder course of flexible pavement because of its positive stability impact. Crown Copyright (C) 2012 Published by Elsevier Ltd. All rights reserved.Öğe Modeling Marshall stability of light asphalt concretes fabricated using expanded clay aggregate with artificial neural networks(2012) Morova, Nihat; Karahançer, Şebnem Sargın; Terzi, Serdal; Saltan, Mehmet; Serin, SercanIn this study, an Artificial Neural Network (ANN) model has been developed to estimate Marshall Stability (MS) of lightweight asphalt concrete containing expanded clay. In the model, amount of bitumen (%), transition speed of ultrasound (?s), unit weight (gr/cm 3) were used as inputs and Marshall Stability (kg) was used as output. Developed ANN model results and the experimental results were compared and good relationship was found. © 2012 IEEE.Öğe Planning maintenance works on pavements through ant colony optimization(Springer, 2014) Terzi, Serdal; Serin, SercanPavements constructed for the purpose of meeting the demand of highways which were emerged with the improving technological developments increased. And consequently, more resources were demanded to be directed to pavement maintenance and rehabilitation. Hereby, the concept of pavement management emerged. Although project-level analyses were found adequate previously, network-level evaluations were needed in order to do detailed planning as a result of resource allocation and transfer problems that were emerged later. Therefore, pavement management system has become compulsory for all pavements to be controlled together. In this framework, programming is needed in order to schedule maintenance-rehabilitation and develop costs with respect to budget. In the study carried out, a mode was developed in order to program the routine network maintenance activities in terms of Pavement Maintenance and Management Systems, and it was concluded that this problem can be solved through ant colony, using Visual Basic.Öğe Prediction of the marshall stability of reinforced asphalt concrete with steel fiber using fuzzy logic(Ios Press, 2014) Serin, Sercan; Morova, Nihat; Saltan, Mehmet; Terzi, Serdal; Karaşahin, MustafaIn this study, Marshall Stability (MS) of steel fiber reinforced asphalt concrete has been predicted using steel fiber rate (0%, 0.25%, 0.50%, 0.75%, 1.0%, 1.5%, 2.0% and 2.5%), bitumen content (5%, 5.5% and 6.0%) and unit weights (2,465- 2,515 (gr/cm(3))) by Fuzzy Logic (FL). Results have shown that developed FL model has a strong potential for predicting the MS of asphalt concrete without performing any experimental studies.Öğe Prediction of the Pavement Serviceability Ratio of Rigid Highway Pavements by Artificial Neural Networks(Düzce Üniversitesi, 2013) Morova, Nihat; Serin, Sercan; Terzi, Serdal; Saltan, MehmetThe term ‘‘present serviceability’’ was adopted to represent the momentary ability of pavement to serve traffic, and the performance of the pavement was represented by its serviceability history in conjunction with its load application history. Serviceability was found to be influenced by longitudinal and transverse profile as well as the extent of cracking and patching. The amount of weight to assign to each element in the determination of the over-all serviceability is a matter of subjective opinion. In this study, the present serviceability index of rigid highway pavements has been predicted by an artificial neural network (ANN) model. For this model, the 49 experimental data obtained from AASHTO include slope variance, faulting, cracking, spalling and patching. The developed ANN model has a higher regression value than the AASHO model. This approach can be easily and realistically performed to solve the problems which do not have a formulation or function for the solution.Öğe Replacement of signalized traffic network design with Hamiltonian roads: delay? Nevermind(Springer, 2022) Erişkin, Ekinhan; Türker, Gül Fatma; Gündüz, Fatih Kürşat; Terzi, SerdalSignal optimisation is essential in traffic engineering. The traffic light control timings should be set as optimum. However, it is challenging because the traffic network is a non-polynomial problem. In this study, the problem is evaluated from a unique perspective. The primary idea is to remove the crossings of the intersections. A Hamiltonian cycle algorithm has been used to design the network. So, vehicles are only able to join or split. Thus, no control mechanism is needed that delays or interrupts the flow. The suggested algorithm and intersection design were tested on Allsop and Charlesworth's widely used sample network. Findings were compared with the literature in the form of delay calculated using the Highway Capacity Manual 2010 formula. The suggested network's delay is calculated to be 98.17% and 95.45% less than the original network and recently published study-based delay, respectively. As a result, Hamiltonian roads seem sustainable in time and fuel consumption and could be used for future designs.Öğe Utility of polyparaphenylene terephtalamide fiber in hot mix asphalt as a fiber(Elsevier Sci Ltd, 2016) Morova, Nihat; Serin, Sercan; Terzi, Serdal; Saltan, Mehmet; Küçükçapraz, D. Özdemir; Karahançer, Şebnem Sargın; Erişkin, EkinhanIn this study, utility of polyparaphenylene terephtalamide (PT) was investigated in hot mix asphalt as a fiber. For this aim samples were prepared with limestone aggregate at different proportions. Marshall Stability test was applied and optimum bitumen content was determined. In the second stage of the study, new samples were prepared using different polyparaphenylene terephtalamide fiber (PTF) rates of 0.25%, 0.50%, 0.75%, 1.00%, 1.50%, 2.00% based on optimum bitumen content. When examining test results, samples which prepared using 0.25% PTF rate gave highest Marshall Stability result. At the final stage of the study, different bitumen contents (4.15%, 4.65% and 5.15%) were conducted for the best fiber rate (0.25%) and close to this result (0.50% and 0.75%). Thus, the effect of bitumen content on determined fiber rate at the second stage of the study was investigated. Also Indirect Tensile (IDT) Strength Test was performed on hot mix asphalt (HMA) samples preparing at 0.25%, 0.50% and 0.75% fiber rates and moisture sensitivities were determined. All results showed that, the best fiber rate was 0.25% and determined optimum bitumen content remain constant with the fiber additive for the reference samples. Besides, some sample groups which prepared using different PTF rates proved the specification limits and it was said that; PTF can be used in asphalt concrete as a fiber additive. (c) 2015 Elsevier Ltd. All rights reserved.
