Accurate determination of river flows and variations is used for the efficient use of water resources, the planning of construction of water structures, and preventing flood disasters. However, accurate flow prediction is related to a good understanding of the hydrological and meteorological characteristics of the river basin. In this study, flow in the river was estimated using Multi Linear Regression (MLR), Artificial Neural Network (ANN), M5 Decision Tree (M5T), Adaptive Neuro-Fuzzy Inference System (ANFIS), Mamdani-Fuzzy Logic (M-FL) and Simple Membership Functions and Fuzzy Rules Generation Technique (SMRGT) models. The Stilwater River in the Sterling region of the USA was selected as the study area and the data obtained from this region were used. Daily rainfall, river flow, and water temperature data were used as input data in all models. In the paper, the performance of the methods is evaluated based on the statistical approach. The results obtained from the generated models were compared with the recorded values. The correlation coefficient (R), Mean Square Error (MSE), and Mean Absolute Error (MAE) statistics are computed separately for each model. According to the comparison criteria, as a final result, it is considered that Mamdani-Fuzzy Logic (M-FL) and Simple Membership Functions and Fuzzy Rules Generation Technique (SMRGT) model have better performance in river flow estimation than the other models.

This paper presents experimental results of laboratory model tests of geosynthetic reinforced highway base layers subjected to repeated loads. The potential benefit of geocell and geogrid, when used in the base layer as a reinforcement material, was examined and assessed by performance indicators including total, permanent (plastic), and elastic (resilient) deformation, traffic benefit ratio (TBR), rut depth reduction (RDR), percentage of elastic deformation, and resilient modulus (M_R). In the light of the results of this study, geocell and geogrid-reinforced bases outperform the unreinforced base in terms of elastic and permanent deformations. Further experimental results reveal that although the thickness of the base layer was decreased to a rate of 33%, geocell and geogrid enable a considerable reduction in the rut depth at an approximate rate of 21% and 13%, respectively. Moreover, when the thickness of the base layer remains constant, about 48% to 43% reduction in the rut depth was provided by geocell and geogrid reinforcement.

Bu çalışmada etkin maddesi Nikel Oksit (NiO) olan metalik özellikli yeni bir katkı maddesi ile asfalt bağlayıcı çeşitli oranlarda modifiye edilerek Nikel Modifiye Asfalt Bağlayıcı (NMAB) elde edilmiştir. Elde edilen NMAB üzerinde yapılan fiziksel ve performans deneyleri sonucunda asfalt bağlayıcının fiziksel özelliklerinde soğuk iklimlerde kullanımı daha uygun sayılabilecek değişiklikler olduğu görülmüştür. Katkı maddesinin asfalt bağlayıcının penetrasyon değerini ve düktilitesini artırdığı, viskozite ve yumuşama noktasını düşürdüğü tespit edilmiştir. Yapılan Marshall stabilite ve akma testlerinde, modifikasyonun stabilite değerini %4.21, akma değerini ise %5 artırdığı belirlenmiştir.

Tr en Yük ve yolcu taşımacılığının büyük oranda karayoluyla yapıldığı ülkemizde gelişen otomotiv sektörünün de etkisiyle daha yüksek yük kapasiteli kamyonların yollarda olması daha dayanıklı yolların imalatı ihtiyacını doğurmaktadır. Zemin taşıma gücünün artması esnek kaplamalarda maliyeti en yüksek kısım olan üst yapının daha dayanıklı ve daha az maliyetli olmasına sebep olacaktır. Bu çalışmada iki farklı zeminde yapılan C60B2 katyonik asfalt emülsiyonu ile stabilizasyonun zeminlerin Kaliforniya Taşıma Gücü (CBR) değerlerine etkileri incelenmiştir. CBR’da meydana gelen değişimin esnek üstyapı tabaka kalınlıklarına olan etkileri ise AASHTO 93 yöntemiyle tasarlanan üstyapı hesabıyla ortaya konmuştur. Sonuçta C60B2 ile stabilize edilmiş zeminlerde CBR artışıyla üstyapı tabakalarının kalınlığının belirgin ölçüde azaldığı ya da esnek üstyapının taşıma kabiliyetinin arttığı görülmüştür. In our country in which cargo and passenger transportation are mainly done on land routes, having more frequent higher load capacity trucks because of the improving automobile industry, necessitates more durable road constructions. The increase of the bearing capacity of soil enable cheaper and more durable superstructure, which is the most expensive part of flexible pavements. In this study, the effects on CBR value of two different soils which are stabilized with C60B2 cationic asphalt emulsion are investigated. Changing CBR values’ effects on the thickness of flexible superstructure layers are revealed by the superstructure calculation which is designed by the AASHTO 93 method. Finally, it has been observed that on soils which are stabilized with C6B02, increase of CBR significantly decreases superstructure’s layer thicknesses and improves flexible superstructure’s bearing ratio.