Hemp Fiber-Reinforced Polymers Composite Jacketing Technique for Sustainable and Environment-Friendly Concrete

Author:

Saingam Panumas1ORCID,Hussain Qudeer2,Sua-iam Gritsada3,Nawaz Adnan4ORCID,Ejaz Ali5

Affiliation:

1. Department of Civil Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand

2. Civil Engineering Department, Kasem Bundit University, Bangkok 10250, Thailand

3. Department of Civil Engineering, Faculty of Engineering, Rajamangala University of Technology Phra Nakhon (RMUTP), 1381 Pracharat Sai 1 Road, Wong Sawang, Bang Sue, Bangkok 10800, Thailand

4. Department of Civil Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt 47040, Pakistan

5. National Institute of Transportation, National University of Science and Technology, Islamabad 44000, Pakistan

Abstract

This research suggested natural hemp fiber-reinforced ropes (FRR) polymer usage to reinforce recycled aggregate square concrete columns that contain fired-clay solid brick aggregates in order to reduce the high costs associated with synthetic fiber-reinforced polymers (FRPs). A total of 24 square columns of concrete were fabricated to conduct this study. The samples were tested under a monotonic axial compression load. The variables of interest were the strength of unconfined concrete and the number of FRR layers. According to the results, the strengthened specimens demonstrated an increased compressive strength and ductility. Notably, the specimens with the smallest unconfined strength demonstrated the largest improvement in compressive strength and ductility. Particularly, the compressive strength and strain were enhanced by up to 181% and 564%, respectively. In order to predict the ultimate confined compressive stress and strain, this study investigated a number of analytical stress–strain models. A comparison of experimental and theoretical findings deduced that only a limited number of strength models resulted in close predictions, whereas an even larger scatter was observed for strain prediction. Machine learning was employed by using neural networks to predict the compressive strength. A dataset comprising 142 specimens strengthened with hemp FRP was extracted from the literature. The neural network was trained on the extracted dataset, and its performance was evaluated for the experimental results of this study, which demonstrated a close agreement.

Publisher

MDPI AG

Reference49 articles.

1. Life cycle assessment of building materials: Comparative analysis of energy and environmental impacts and evaluation of the eco-efficiency improvement potential;Build. Environ.,2011

2. An overview of study on recycled aggregate concrete in China (1996–2011);Xiao;Constr. Build. Mater.,2012

3. Reuse of Clay Brick Waste in Mortar and Concrete;Zhu;Adv. Mater. Sci. Eng.,2020

4. Supporting environmentally sound decisions for waste management with LCT and LCA;Manfredi;Int. J. Life Cycle Assess.,2011

5. Sustainable normal and high strength recycled aggregate concretes using crushed tested cylinders as coarse aggregates;Hamad;Case Stud. Constr. Mater.,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3