A Novel Optimal Solution for Utilizing Plastic Waste for Making Construction Material

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2022 by IJETT Journal
Volume-70 Issue-9
Year of Publication : 2022
Authors : Priya Gajjal, M R Dahake
DOI : 10.14445/22315381/IJETT-V70I9P209

How to Cite?

Priya Gajjal, M R Dahake, "A Novel Optimal Solution for Utilizing Plastic Waste for Making Construction Material," International Journal of Engineering Trends and Technology, vol. 70, no. 9, pp. 93-104, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I9P209

Nowadays, the whole world is occupied with plastic waste materials. Every year several quantities of plastic waste materials are manufactured around the world. Moreover, millions of tons of plastic waste materials worldwide are coated and extruded into millions of manufacturing products and packages. These plastic materials are strong, lightweight, and inexpensive. The disposal of plastics is one of the most challenging tasks in the environmental effect. Therefore, these plastic waste materials must be reprocessed and recycled. Hence, the key motive of this study is to utilize Plastic trash for creating materials for construction purposes. Initially, the collected Plastic Wastes (PW) are cleaned and shredded; consequently, the cleaned plastic wastes are melted with the help of a vessel and little fire. After that, ingredients like sand and crushed stone are added, and the mixer is applied to the block to mould the surface. The novel Grey Wolf-based Recurrent Estimation (GWbRE) paradigm is developed to estimate each substance's performance and characteristics. Moreover, the proposed technique is implemented in MATLAB simulation. Subsequently, the simulation outcomes of the proposed procedures are compared with existing techniques regarding compressive strength, compressive stress, flexural strength, and density. Thus, the comparison shows that the proposed method significantly improved the performance of plastic waste management compared with the other methods.

Compressive strength, Construction materials, Density, Flexural strength, Grey wolf-based recurrent estimation, recycle.

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