Yazar "Demirel S." seçeneğine göre listele

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    Artificial neural network (ANN) approach for modeling of selected biogenic compounds in a mixture of treated municipal and dairy wastewater
    (EDP Sciences, 2019) Struk-Sokolowska J.; Ofman P.; Demirel S.
    This paper presents artificial neural network (ANN) model of wastewater treatment plant, which was used for average monthly concentrations of N-NH4+, N-NO3-, N-NO2-, total Kiejdahl nitrogen (TKN), PO43- and SO42- approximation. ANN model was developed for wastewater treatment plant located in Bystre, Poland which treats municipal wastewater with a share of dairy wastewater. The object was chosen because of the unique location, in the Great Mazury Lakes area and the need for its special environmental protection. Input layer of developed ANN model consisted of BOD, COD, concentrations of total nitrogen and total phosphorus, total organic carbon, sulphates, wastewater temperature and pH., The developed model reflected extreme values observed during study period. Average error percentage with which output variables were approximated equalled to 35.35%; 8.99%; 21.23%; 5.08%; 10.99%; 3.02% respectively for N-NH4+, N-NO3-, N-NO2-, TKN, PO43- and SO42-. © The Authors, published by EDP Sciences, 2019.
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    Curing effect on the properties of high-performance mortars incorporating recycled glass powder
    (Wiley-Blackwell, 2019) Öz H.Ö.; Demirel S.; Güneş M.
    This study presents the effects of water curing (WC) and steam curing (SC) on the fresh and hardened properties of high-performance mortar (HPM) incorporating recycled glass powder (RGP). In addition, this study evaluates the environmental effects of RGP. For this purpose, HPM samples were prepared in which cement was partially replaced by RGP ranged from 0% to 20% by steps of 5% increment. Tests were performed on fresh mortar involved slump flow diameter, and the hardened properties of HPMs incorporating RGP (HPMRGP) were evaluated via mechanical and durability tests at 28th and 56th days, respectively. In addition, microstructural investigations (scanning electron microscopy/energy-dispersive X-ray spectroscopy, thermogravimetric analysis/differential thermal analysis analyses) were performed to support the mechanical and durability performances of HPMs exposed to SC and WC. Finally, life cycle assessment of HPMs was conducted through cradle-to-gate life-cycle impact assessment approach. Based on all these test results, it can be stated that the best results were obtained from HPMs containing 20% RGP. © 2019 fib. International Federation for Structural Concrete
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    Life-cycle assessment (LCA) aspects and strength characteristics of self-compacting mortars (SCMs) incorporating fly ash and waste glass PET
    (Springer Verlag, 2019) Demirel S.; Öz H.Ö.; Güneş M.; Çiner F.; Adın S.
    Purpose: In this study, fresh, mechanical, microstructural, and thermal properties as well as environmental impact of self-compacting mortars (SCMs) were determined by using glassPET (GP) and fly ash (FA). For this work, firstly, control mixture in which 80% of Portland cement (PC) and 20% of FA was designed. Then, GP was used in the ratios of 3%, 6%, and 9% instead of FA. Methods: During production, the mini-slump flow diameter and the mini-v funnel flow times of the SCMs were measured. After that, the mechanical properties of these mixes were determined via the compressive, flexural, and ultrasonic pulse velocity (UPV) tests at 28 and 90 days. In addition, microstructural and thermal properties of SCMs incorporating GP in the ratios of 0% and 9% instead of FA were determined by using SEM/EDX and TGA/DTA analyzes. Moreover, the comparative life-cycle assessment (LCA) has been conducted using LCA software SimaPro® with ReCiPe database. One kg/m3 of mortar was selected as functional unit and a cradle to gate approach was followed for the LCA including material extraction, transport and production, and system boundaries used. Results and discussion: Results were given from the software underline the estimated environmental performance of mortar production with providing single scores coming from three gauges including Human Health, Ecosystems, and Resources as well as the strength characterctics of SCMs. Conclusions: The test results indicated that GP and FA used instead of PC improves the environmental performance of SCMs while adversely affecting the fresh, mechanical, and microstructural properties. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.