This study predicts the capability of recycled plastic granules as a sustainable opportunity to conventional coarse mixture in concrete by using neural network. The goal is to increase a study gadget learning model capable of accurately predicting the compressive strength of concrete containing numerous chances of recycled plastic aggregate. This learning is helpful to overcome the required time period for knowing concrete strength by traditional method. This research contributes imparting a reliable tool for predicting the compressive strength of concrete with plastic combination. It optimize the combination layout for numerous programs, and inspect the effect of various kinds of plastic waste on concrete.
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Mr.S.VENKATESWARAN currently working as an Assistant Professor in the Department of Civil Engineering at Agni College of Technology. Mr. Ragul S, II Year, M.E. Structural Engineering student at Agni College of Technology.Mr.N.VIMALRAJ is Currently working as Assistant Professor in the Department of Civil Engineering at Agni College of Technology.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This study predicts the capability of recycled plastic granules as a sustainable opportunity to conventional coarse mixture in concrete by using neural network. The goal is to increase a study gadget learning model capable of accurately predicting the compressive strength of concrete containing numerous chances of recycled plastic aggregate. This learning is helpful to overcome the required time period for knowing concrete strength by traditional method. This research contributes imparting a reliable tool for predicting the compressive strength of concrete with plastic combination. It optimize the combination layout for numerous programs, and inspect the effect of various kinds of plastic waste on concrete.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Bestandsnummer des Verkäufers 9786209604638
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Taschenbuch. Zustand: Neu. Concrete 2.0: Harnessing Machine Learning For Strength Prediction | Machine Learning Algorithm For Strength Prediction of Concrete Second Edition | Venkateswaran S (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209604638 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134601011
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