کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5479586 1522096 2017 33 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Numerical optimization of self-compacting mortar mixture containing spent equilibrium catalyst from oil refinery
ترجمه فارسی عنوان
بهینه سازی عددی مخلوط خلوص خودکفایی که حاوی کاتالیزور تعادل ذخیره شده از پالایشگاه نفت است
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
As the oil refining industries continue to grow, the production of waste catalysts generated in that process is expected to also increase. It would be of great value both economically and ecologically if these wastes could be reused as an addition in self-compacting concrete (SCC). This paper uses statistical factorial design approach, namely a central composite design, to conduct a proper experimental plan to design SCC mortar mixtures incorporating spent equilibrium catalyst (ECat), a waste generated by the oil-refinery industry. The mathematical empirical models derived (which were also experimentally validated) revealed the influence of mixture design parameters, and their coupled effects, on the mortars' properties namely, deformability, viscosity, compressive strength, resistivity and ultrasonic pulse velocity. A numerical optimization technique was applied to the derived models to select the best mixture, which maximizes simultaneously durability and eco-efficiency and minimize cost, while maintaining self-compactability. The current study revealed that ECat can be successfully applied in SCC mortars, as a high volume cement replacement material (up toVEcat/Vp = 19.7%) due to its high pozzolanic activity. Nevertheless, for powder-type SCCs, cement/ECat blends must be combined with other finer additions to complete the powders distribution curve increasing the viscosity and stability of paste phase, in the fresh state.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 158, 1 August 2017, Pages 109-121
نویسندگان
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