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Toplam kayıt 5, listelenen: 1-5
MLR & ANN approaches for prediction of compressive strength of alkali activated EAFS
(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 ...
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 ...