Predictive Analysis of Flexural Strength of Concrete Using Recycled Concrete Aggregates: A Preliminary Statistical Approach

The increasing scarcity of natural coarse aggregates (NA) in areas such as Nueva Ecija highlights the urgent need to explore sustainable alternatives in concrete production. Recycled concrete aggregates (RCA), derived from construction and demolition waste, offer a promising substitute that supports resource efficiency and environmental sustainability. This study aims to evaluate the feasibility of using RCA as a replacement for NA by predicting its effect on the flexural strength of concrete. A simple linear regression model was developed based on experimental data comparing concrete specimens made with 0% and 100% RCA. The model estimates flexural strength at 14 days for varying RCA content levels. Results indicate a consistent decline in strength as RCA content increases; however, concrete mixes with up to approximately 80% RCA are predicted to meet the Department of Public Works and Highways (DPWH) minimum flexural strength requirement of 3.45 MPa. Despite limitations in sample size, the findings provide early evidence that significant RCA replacement is structurally viable. This study contributes to the pursuit of sustainable infrastructure by aligning with the United Nations Sustainable Development Goals (SDG 9, 11, and 12), advocating for innovation, urban resilience, and responsible material use.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-20
DOI
https://doi.org/10.5281/zenodo.15472133
Primary Topic
Recycled Aggregate Concrete Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Analysis of Flexural Strength of Concrete Using Recycled Concrete Aggregates: A Preliminary Statistical Approach

Zenodo (CERN European Organization for Nuclear Research)
Recycled Aggregate Concrete Performance
article

Predictive Analysis of Flexural Strength of Concrete Using Recycled Concrete Aggregates: A Preliminary Statistical Approach

article en

Abstract

The increasing scarcity of natural coarse aggregates (NA) in areas such as Nueva Ecija highlights the urgent need to explore sustainable alternatives in concrete production. Recycled concrete aggregates (RCA), derived from construction and demolition waste, offer a promising substitute that supports resource efficiency and environmental sustainability. This study aims to evaluate the feasibility of using RCA as a replacement for NA by predicting its effect on the flexural strength of concrete. A simple linear regression model was developed based on experimental data comparing concrete specimens made with 0% and 100% RCA. The model estimates flexural strength at 14 days for varying RCA content levels. Results indicate a consistent decline in strength as RCA content increases; however, concrete mixes with up to approximately 80% RCA are predicted to meet the Department of Public Works and Highways (DPWH) minimum flexural strength requirement of 3.45 MPa. Despite limitations in sample size, the findings provide early evidence that significant RCA replacement is structurally viable. This study contributes to the pursuit of sustainable infrastructure by aligning with the United Nations Sustainable Development Goals (SDG 9, 11, and 12), advocating for innovation, urban resilience, and responsible material use.

Zenodo (CERN European Organization for Nuclear Research)
Nueva Ecija University of Science and Technology (PH)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Recycled Aggregate Concrete Performance
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.