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Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders 

Terzić, Anja; Radulović, Dragan; Pezo, Milada; Stojanović, Jovica; Pezo, Lato; Radojević, Zagorka; Andrić, Ljubiša (Elsevier Sci Ltd, Oxford, 2020)
The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural ...
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Potential pathway for recycling of the paper mill sludge compost for brick making 

Goel, Gaurav; Vasić, Milica; Katiyar, Nirmal Kumar; Kirthika, S. K.; Pezo, Milada; Dinakar, P. (Elsevier Sci Ltd, Oxford, 2021)
This study's focus was to develop a potential pathway for recycling of the paper mill sludge compost (PMSC) in brick making. Composting reduces the paper mill sludge (PMS) moisture content considerably and shredding becomes ...
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Optimization of adobe clay bricks based on the raw material properties (mathematical analysis) 

Vasić, Milica; Pezo, Lato; Radojević, Zagorka (Elsevier Sci Ltd, Oxford, 2020)
This research studies the effects of composition and granulometry analysis of 139 heavy clays on the important characteristics of wet and adobe clay bricks. ANN models were obtained with high prediction accuracy in training ...

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Year published2021 (1)2020 (2)Document TypeArticle (3)VersionPublished version (3)AccessRestricted Access (3)Journal/Monograph
Construction and Building Materials (3)
RankaM21 (2)aM21~ (1)SubjectAdobe clay brick (1)Alluvial soil (1)Artificial Neural Network (1)Building Materials (1)Drying sensitivity (1)... View More

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