İSTE Yazarı "Cansız, Ömer Faruk" Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu İçin Listeleme
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Compressive strength prediction models for cementitious composites with fly ash using machine learning techniques
Sevim, Umur Korkut; Bilgiç, Hasan Hüseyin; Cansız, Ömer Faruk; Öztürk, Murat; Atiş, Cengiz Duran (Elsevier, 2021)In this study, it was proposed a novel prediction model to predict compressive strength of mortar samples having different properties. For this purpose, 8 different fly ashes were used in mortar mixture as a replacement ... -
The effect of buoyancy force on structural damage: A case study
Bikçe, Murat; Örnek, Murat; Cansız, Ömer Faruk (Elsevier, 2018)In most decades, the height of structures and the number of basement floors have been increased especially in the valuable sites. By constructing the piles around the construction for safety purposes, a pool environment ... -
Improving the aging resistance of bitumen by addition of polymer based diethylene glycol
Çalışıcı, Mustafa; Gürü, Metin; Çubuk, Mustafa Kürşat; Cansız, Ömer Faruk (Elsevier, 2018)This study deals with improving the short-term aging resistance of bitumen with a new material, a diethylene glycol based polyboron compound (DEGPB). The compound was synthesized chemically and used 50/70 penetration grade ... -
MLR & ANN approaches for prediction of compressive strength of alkali activated EAFS
Öztürk, Murat; Cansız, Ömer Faruk; Sevim, Umur Korkut; Bankir, Müzeyyen Balçıkanlı (Techno Press, 2018)In this study alkali activation of Electric Arc Furnace Slag (EAFS) is studied with a comprehensive test program. Three different silicate moduli (1-1,5-2), three different sodium concentrations (4%-6%-8%) for each silicate ... -
Modeling of highways energy consumption with artificial intelligence and regression methods
Cansız, Ömer Faruk; Üneş, Fatih; Erginer, İbrahim; Taşar, Bestami (Springer, 2021)While developing technology and industrialization factors increase production, they also lead to an increase in energy consumption at the same time. The transportation sector, which is a branch of industrialization, has ... -
Prediction of CO2 emission in transportation sector by computational intelligence techniques
Cansız, Ömer Faruk; Ünsalan, Kevser; Üneş, Fatih (Inderscience Publishers, 2022)Carbon footprint is considered the main cause of global warming. There are various studies on environmental sustainability carried out global scale. In this study, prediction models were developed for CO2 emissions in ... -
Prediction of footing settlements with geogrid reinforcement and eccentricity
Dal, Kaan; Cansız, Ömer Faruk; Örnek, Murat; Türedi, Yakup (ICE Publishing, 2019)This study presents settlement predictions for footings with geogrid reinforcement and biaxial eccentricity using multi-linear regression (MLR) and artificial neural network (ANN) methods. The effects of central, uniaxial ... -
Pull-out capacity prediction of sustainable cementitious composites with artificial intelligence and statistical methods
Ünsalan, Kevser; Bankir, Müzeyyen Balçıkanlı; Cansız, Ömer Faruk (Wiley, 2023)Concrete is used with reinforcement in structures so adherence gains importance especially in fire scenarios. To contribute production of sustainable concrete, by-products like granulated blast furnace slag, fly ash, and ...