Using Optimization Techniques on Mechanical Characteristics and Sustainability Assessment of Rubberized Concrete Blended with PVA Fiber Through Response Surface Methodology

Abstract The construction sector is promoting eco-friendly materials to combat global warming. Researchers use crumb rubber (CR) in concrete due to its ductility and hardness, but studies show it can decrease strength. Therefore, the addition of PVA fiber improves the mechanical properties of CR concrete. The research aims to assess the mechanical and physical characteristics of concrete by utilizing RSM modeling and optimization, comparing the effects of CR replacement for sand and PVA fiber by volume fraction. It has been observed that the optimum compressive, tensile and flexural strengths were observed by 49 MPa, 4.31 MPa, and 5.88 MPa at 10% of sand replaced with CR and 1.5% of PVA fiber together at 28 days, respectively. In addition, water absorption improves with increased CR and PVA fiber in concrete, while dry density decreases with increased CR and PVA fiber quantity in concrete at 28 days, respectively. Moreover, RSM was utilized to develop response prediction models with R 2 coefficients ranged from 97 to 99%. Furthermore, the enhancement of embodied carbon is seen when the volume percent of PVA fiber and CR increases in concrete. Additionally, using 10% CR instead of sand and adding 1.5% PVA fiber has been proven to deliver favourable outcomes for the construction sector therefore it is recommended for construction purpose.

Authors

Institutions

Publication Details

Journal
International Journal of Concrete Structures and Materials
Published
2025-01-22
DOI
https://doi.org/10.1186/s40069-024-00740-6
Citations
5
Primary Topic
Innovative concrete reinforcement materials
Type
article
Field-Weighted Citation Impact
4.77

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Optimization Techniques on Mechanical Characteristics and Sustainability Assessment of Rubberized Concrete Blended with PVA Fiber Through Response Surface Methodology

Bashar S. Mohammed, Naraindas Bheel, Abhijeet Vidyadhar Baikerikar
5 citations
International Journal of Concrete Structures and Materials
Innovative concrete reinforcement materials
4.77
article

Using Optimization Techniques on Mechanical Characteristics and Sustainability Assessment of Rubberized Concrete Blended with PVA Fiber Through Response Surface Methodology

Bashar S. Mohammed, Naraindas Bheel, Abhijeet Vidyadhar Baikerikar
article en
5 citations

Abstract

Abstract The construction sector is promoting eco-friendly materials to combat global warming. Researchers use crumb rubber (CR) in concrete due to its ductility and hardness, but studies show it can decrease strength. Therefore, the addition of PVA fiber improves the mechanical properties of CR concrete. The research aims to assess the mechanical and physical characteristics of concrete by utilizing RSM modeling and optimization, comparing the effects of CR replacement for sand and PVA fiber by volume fraction. It has been observed that the optimum compressive, tensile and flexural strengths were observed by 49 MPa, 4.31 MPa, and 5.88 MPa at 10% of sand replaced with CR and 1.5% of PVA fiber together at 28 days, respectively. In addition, water absorption improves with increased CR and PVA fiber in concrete, while dry density decreases with increased CR and PVA fiber quantity in concrete at 28 days, respectively. Moreover, RSM was utilized to develop response prediction models with R 2 coefficients ranged from 97 to 99%. Furthermore, the enhancement of embodied carbon is seen when the volume percent of PVA fiber and CR increases in concrete. Additionally, using 10% CR instead of sand and adding 1.5% PVA fiber has been proven to deliver favourable outcomes for the construction sector therefore it is recommended for construction purpose.

International Journal of Concrete Structures and MaterialsVol. 19(1)
Universiti Teknologi Petronas (MY)
Universiti Teknologi Petronas
Openalex Percentile: Top 6%
Innovative concrete reinforcement materials
4.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.