Experimental and predictive assessment of recycled rubber-modified lightweight mortars

This study examines lightweight cement mortars reinforced with Polyvinyl Alcohol (PVA) fibers to elucidate how introducing recycled rubber as a sand replacement influences microstructure-sensitive transport and load-bearing behavior. Using a standardized mix with a binary pozzolanic binder (Class F fly ash and silica fume), we assessed compressive and flexural strength, elastic modulus, stress–strain re-sponse, dry density, water absorption, and Ultrasonic Pulse Velocity (UPV). Increas-ing rubber fraction generally reduced strength and stiffness due to weaker interfacial bonding and elevated internal porosity; nevertheless, mortars with moderate rubber contents retained adequate strength while exhibiting enhanced plasticity/ductility, indicating potential for semi-structural use when properly optimized. An artificial neural network that ingests rubber content, dry density, water absorption, and UPV predicted 28-day compressive strength with high fidelity (R² = 0.94; MSE = 0.72MPa²; MAPE = 1.87%), with UPV emerging as the most influential predictor. The combined experimental and data-driven findings provide non-destructive, UPV-anchored guidance for designing PVA-reinforced lightweight rubberized mortars for sustainable construction.

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Publication Details

Journal
Research on Engineering Structures and Materials
Published
2025-01-01
DOI
https://doi.org/10.17515/resm2025-1063ma0807rs
Primary Topic
Innovative concrete reinforcement materials
Type
article
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article

Experimental and predictive assessment of recycled rubber-modified lightweight mortars

Luma Ahmed Aday
Research on Engineering Structures and Materials
Innovative concrete reinforcement materials
article

Experimental and predictive assessment of recycled rubber-modified lightweight mortars

Luma Ahmed Aday
article en

Abstract

This study examines lightweight cement mortars reinforced with Polyvinyl Alcohol (PVA) fibers to elucidate how introducing recycled rubber as a sand replacement influences microstructure-sensitive transport and load-bearing behavior. Using a standardized mix with a binary pozzolanic binder (Class F fly ash and silica fume), we assessed compressive and flexural strength, elastic modulus, stress–strain re-sponse, dry density, water absorption, and Ultrasonic Pulse Velocity (UPV). Increas-ing rubber fraction generally reduced strength and stiffness due to weaker interfacial bonding and elevated internal porosity; nevertheless, mortars with moderate rubber contents retained adequate strength while exhibiting enhanced plasticity/ductility, indicating potential for semi-structural use when properly optimized. An artificial neural network that ingests rubber content, dry density, water absorption, and UPV predicted 28-day compressive strength with high fidelity (R² = 0.94; MSE = 0.72MPa²; MAPE = 1.87%), with UPV emerging as the most influential predictor. The combined experimental and data-driven findings provide non-destructive, UPV-anchored guidance for designing PVA-reinforced lightweight rubberized mortars for sustainable construction.

Research on Engineering Structures and Materials
Openalex Percentile: Top 73%
Innovative concrete reinforcement materials
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Experimental and predictive assessment of recycled rubber-modified lightweight mortars — Luma Ahmed Aday · Research on Engineering Structures and Materials (2025) | TGRS Research Map | TGRS