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Toplam kayıt 7, listelenen: 1-7
Improving the aging resistance of bitumen by addition of polymer based diethylene glycol
(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 ...
Prediction of footing settlements with geogrid reinforcement and eccentricity
(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 ...
The effect of buoyancy force on structural damage: A case study
(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 ...
Compressive strength prediction models for cementitious composites with fly ash using machine learning techniques
(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 ...
Modeling of highways energy consumption with artificial intelligence and regression methods
(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
(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 ...
Pull-out capacity prediction of sustainable cementitious composites with artificial intelligence and statistical methods
(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 ...