Open AccessInfluence of non-biodegradable wastes on mechanical properties of concrete – A Neural Network approach
Author(s) -
J Sridhar,
D. Vivek
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1025/1/012007
Subject(s) - cement , aggregate (composite) , materials science , curing (chemistry) , composite material , environmental science , waste management , engineering
The environmental pollution due to different non-biodegradable waste is not only making the surroundings vulnerable but also makes a serious defect on the humans. Because of the non-biodegradable property of plastics, decomposition is not possible which makes them remain in the environment for a longer period creating ecological problems. These non-biodegradable materials will be a significant source of plastic waste management if these materials can be substituted as a construction material by using in concrete. An experimental investigation is made on the usage of Non-Biodegradable plastic ravage materials as fine aggregates in M20 concrete with substitution from 0%, to 50% by weight of fine aggregate. Subsequently, the ravage glass powder is included in concrete as a substitution for cement with a percentage of replacement of 0% and 5% by weight of cement. Specimen for concrete in compression, tension and flexure are tested for 28 days curing. The experimental outcome shows that concrete with 10% replacement of plastic waste by weight of fine aggregate with 5% replacement of glass powder by weight of cement had an elevated influence on the mechanical properties. Further Artificial Neural Network Analysis is performed to validate the experimental results. The classification of Neural networks (NN), such as -Leven Berg-Marquardt (NN-LM) and Gradient Descent (NN-GD) is used to perform the analysis.