Optimization and prediction of mechanical properties of waste polymeric material using rsm and hybrid dnn hho algorithm

Abstract

Polymeric materials like PET (polyethylene terephthalate) and CR (crumb rubber) present a number of disposal, manufacturing, and environmental effect issues. PET particles are frequently employed in single-use items like water bottles, which increase the problem of global plastic waste. Micro plastics made from PET particles have the potential to damage ecosystem and marine life. CR is formed from scrap tires which wind up in landfills, where it can cause fires and occupy precious space. CR can emit hazardous chemicals and particles into the air and soil when it is used in synthetic grass fields or playgrounds. Numerous benefits such as economic effectiveness, environmental advantages, enhanced characteristics, and light weight construction are attained by using polymeric components in concrete. Addition of PET and CR particles in concrete becoming more durable, reduce the brittleness, less cracking, more impact and abrasion resistant. Therefore, in this study carried out the experimental investigation on mechanical properties of concrete that has been made by mixing polymeric materials with various chemical admixtures (Al, H2O2, Na2SO4 and NaCl) and manufactured sand (M sand). Water absorption, Rapid Chloride Penetration Test (RCPT), X-ray diffraction (XRD) analysis, Fourier Transform Infrared Spectroscopy (FTIR), Particle Size Analysis (PSA) and Scanning Electron Microscope (SEM) Analysis are also analyzed. Response Surface Methodology (RSM) is used to analyses the experimental results by using design expert software. newline