MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Sustainable geopolymers from polyethylene terephthalate waste and industrial by-products: a comprehensive characterisation and performance predictions
Sustainable geopolymers from polyethylene terephthalate waste and industrial by-products: a comprehensive characterisation and performance predictions
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Sustainable geopolymers from polyethylene terephthalate waste and industrial by-products: a comprehensive characterisation and performance predictions
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Sustainable geopolymers from polyethylene terephthalate waste and industrial by-products: a comprehensive characterisation and performance predictions
Sustainable geopolymers from polyethylene terephthalate waste and industrial by-products: a comprehensive characterisation and performance predictions

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Sustainable geopolymers from polyethylene terephthalate waste and industrial by-products: a comprehensive characterisation and performance predictions
Sustainable geopolymers from polyethylene terephthalate waste and industrial by-products: a comprehensive characterisation and performance predictions
Journal Article

Sustainable geopolymers from polyethylene terephthalate waste and industrial by-products: a comprehensive characterisation and performance predictions

2024
Request Book From Autostore and Choose the Collection Method
Overview
Several researchers have recently worked to create sustainable building materials. One of the fundamental prerequisites for sustainable construction methods and environmental impact assessments is the use of green building materials and manufacturing processes. In this research study, geopolymer bricks were developed using polyethylene terephthalate waste and different industrial by-products (rice husk ash, ground granulated blast furnace slag, red mud, construction, and demolition waste) and investigated their performances. The polyethylene terephthalate waste was used as a replacement for sand filler in the geopolymer brick up to 100%. Key findings include a workability decrease of 14.75% and a compressive strength reduction of up to 75% with 100% plastic waste replacement, attributed to increased voids and weak geopolymer matrix interaction. Dry density consistently decreases, and water absorption rises to 13.73% with full sand replacement, indicating a porous structure. Impact resistance improves with plastic waste inclusion, enhancing ductility and thermal conductivity by 57% at full replacement. Microstructural analyses reveal correlations between physical–mechanical properties and changes in porosity, microcracks, and bond strength. Machine learning, especially linear regression, proves effective for strength parameter prediction (up to 100% efficacy, R-square of 0.998). The promising results obtained could offer a substantial environmentally friendly solution to the building and construction industry in line with Circular Economy principles.