Bölüm "MTÖ Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü" WoS İndeksli Yayınlar Koleksiyonu için listeleme
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Comparison of extreme learning machine and deep learning model in the estimation of the fresh properties of hybrid fiber-reinforced SCC
(Springer, 2021)This paper studied the estimation of fresh properties of hybrid fiber-reinforced self-compacting concrete (HR-SCC) mixtures with different types and combinations of fibers by using two different prediction method named as ... -
Deep learning and machine learning-based prediction of capillary water absorption of hybrid fiber reinforced self-compacting concrete
(2022)Deep auto-encoders and long short-term memory methodology (LSTM) basedon deep learning as well as support vector regression (SVR) and k-nearestneighbors (kNN) based on machine learning models for the capillary waterabsorption ... -
Determination of energy value and ash-sulfur content of clean fuel obtained from lignite carbonization at different heating rates
(2021)Carbonization (low-temperature pyrolysis) is an economical and efficient method used to obtain solid products from lignite and improve calorific value. This research focused on the morphological and structural properties ... -
Effect of macro and micro fiber volume on the flexural performance of hybrid fiber reinforced SCC
(Techno Press, 2020)The aim of this study is to investigate the flexural performance of hybrid fiber reinforced self-compacting concrete (HFRSCC) having different ratio of micro and macro steel fiber. A total of five mixtures are prepared. ... -
Estimation of strengths of hybrid FR-SCC by using deep-learning and support vector regression models
(2021)In this work, to estimate the compressive, splitting tensile, and flexuralstrength of self-compacting concrete (SCC) having single fiber and binary, ter-nary, and quaternary fiber hybridization, the deep-learning (DL) and ... -
Mechanical and microstructural properties of polypropylene fiber-reinforced geopolymer composites
(The Society of Fiber Science and Technology, 2019)Geopolymers are a kind of polymeric material that can be formed using industrial applications based on inorganic polycondensation. They can be used in applications to replace traditional cement with environmental and ... -
Optimization of Smokeless Fuel Production from Lignite by Taguchi Orthogonal Design
(2021)In this study, the pyrolysis of Konya Ermenek lignite was carried out under different conditions in N2 gas flow.Temperature (400, 500, 600 and 700°C), heating rate (5, 10, 15 and 20°C/min), flow rates of gas (100, 150, 200 ...