ArticleScientific reports2025
Optimization of waste plastic fiber concrete with recycled coarse aggregate using RSM and ANN.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Machine learning-driven evaluation of mechanical and microstructural properties of agro-waste-derived geopolymer concrete.Scientific reports · 2026Article
- Utilization of electronic plastic waste as fine aggregate with and without silica fume in concrete: experimentation and life cycle assessment.Scientific reports · 2026Article
- Optimization of concrete with human hair using experimental study and artificial neural network via response surface methodology and ANOVA.Scientific reports · 2025Article
- Influence of bond strength in treated mixed recycled aggregate concrete incorporating olivine sand.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The disposal of industrial waste, such as ceramic and plastic waste, has led to significant environmental concerns, including greenhouse gas emissions and resource depletion. Recycling these materials is essential for promoting sustainability. Simultaneously, the construction sector contributes heavily to carbon dioxide (CO₂) emissions due to excessive extraction of natural resources. This study explores the potential of ceramic waste as a fine aggregate replacement and plastic waste as fiber reinforcement in mortar to improve mechanical properties and sustainability. The inclusion of plastic fibers enhances crack resistance and reduces brittleness, ensuring better structural performance. Key parameters such as dry density, ultrasonic pulse velocity, rebound hammer strength, and compressive strength were evaluated. The modified mortar exhibited a 30% increase in compressive strength, reaching 38.62 MPa compared to 33.05 MPa in conventional mortar, with an additional 0.6% plastic fiber incorporation. Furthermore, machine learning models, including Response Surface Methodology (RSM) and Artificial Neural Networks (ANN), were used for optimization and prediction, showing high accuracy. This study highlights the feasibility of utilizing waste materials in construction, reducing reliance on natural resources, and advancing eco-friendly, sustainable infrastructure.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.