Effects of Particle Size and Specific Surface Area of Porcelain Tile Polishing Waste on Self-compacting Mortars

Current demands for shorter construction times and concerns about mitigating environmental impact are leading to the development of new technologies and encouraging waste recycling. The aim of this paper was to evaluate the influence of the addition of porcelain tile polishing residue (PPR) from two lots of the same factory in self-compacting mortar production. The water to cement ratio and the additive content were maintained the same. The results show that the PPR grain particle size and specific surface area affected the mortars' flowability and mechanical properties. Mortars with PPR0 (thicker particles than PPR1) presented increased compressive strength and a reduced air entrained, already from a 10% addition. In turn, the addition of PPR1 led to a decrease in the flowability of the mortars, maintaining a high rate of air entrained, which resulted in a lower gain of compressive strength. The results showed that the influence of the air-entrained rate on the compressive strength of the mortars prevailed over any possible improvements in particle packing and nucleation effects. Nonetheless, regardless of the amount and type of PPR used, the study shows the viability of using it to produce satisfactory self-compacting mortars.

Authors

Publication Details

Journal
Journal of Building Technology
Published
2024-09-20
DOI
https://doi.org/10.32629/jbt.v6i2.2639
Citations
1
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
Field-Weighted Citation Impact
0.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Particle Size and Specific Surface Area of Porcelain Tile Polishing Waste on Self-compacting Mortars

Morgana Fortunato, Juliana Machado Casali, Andrea Murillo Betioli, Janaíde Cavalcante Rocha et al.
1 citations
Journal of Building Technology
Innovations in Concrete and Construction Materials
0.27
article

Effects of Particle Size and Specific Surface Area of Porcelain Tile Polishing Waste on Self-compacting Mortars

Morgana Fortunato, Juliana Machado Casali, Andrea Murillo Betioli, Janaíde Cavalcante Rocha, Giovana Collodetti, Ben-Hur Raíra Martins
article en
1 citations

Abstract

Current demands for shorter construction times and concerns about mitigating environmental impact are leading to the development of new technologies and encouraging waste recycling. The aim of this paper was to evaluate the influence of the addition of porcelain tile polishing residue (PPR) from two lots of the same factory in self-compacting mortar production. The water to cement ratio and the additive content were maintained the same. The results show that the PPR grain particle size and specific surface area affected the mortars' flowability and mechanical properties. Mortars with PPR0 (thicker particles than PPR1) presented increased compressive strength and a reduced air entrained, already from a 10% addition. In turn, the addition of PPR1 led to a decrease in the flowability of the mortars, maintaining a high rate of air entrained, which resulted in a lower gain of compressive strength. The results showed that the influence of the air-entrained rate on the compressive strength of the mortars prevailed over any possible improvements in particle packing and nucleation effects. Nonetheless, regardless of the amount and type of PPR used, the study shows the viability of using it to produce satisfactory self-compacting mortars.

Journal of Building TechnologyVol. 6(2)
Openalex Percentile: Top 39%
Innovations in Concrete and Construction Materials
0.27
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.