Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34758
Title: Performance Evaluation of Road Pavement Green Concrete: An Application of Advance Decision-Making Approach before Life Cycle Assessment
Authors: Alhazmi, H
SHAH, Syyed 
Basheer, MA
Issue Date: 2021
Publisher: MDPI
Source: Coatings, 11 (1) , p. 74
Abstract: Rigid pavement structures are one of the costly components of the infrastructure development process. It consumes a huge quantity of ingredients necessary for concrete development. Hence, a newly introduced concept of circular economy in combination with waste management was introduced to solve this problem. In this study, three waste products (rice husk ash (RHA), wood sawdust (WSD), and processes waste tea (PWT)) was utilized to develop the concrete for rigid pavement structures by replacing the sand, i.e., a filler material at different percentages. During the testing procedure of compressive (CS), tensile (TS), and flexural strength (FS) properties, RHA and WSD at 5% replacement were found to be a good replacement of sand to develop required concrete. This study will help in the production of eco-friendly rigid pavement structures and a pathway of life cycle assessment in the future.
Keywords: rigid pavement concrete;artificial neural networks (ANNs);green materials;eco-friendly
Document URI: http://hdl.handle.net/1942/34758
e-ISSN: 2079-6412
DOI: 10.3390/coatings11010074
ISI #: 000610005300001
Rights: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
coatings-11-00074.pdfPublished version7.02 MBAdobe PDFView/Open
Show full item record

WEB OF SCIENCETM
Citations

3
checked on May 1, 2024

Page view(s)

46
checked on Sep 7, 2022

Download(s)

12
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.