0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Sign in to save

Supplementary Dataset S1 - Plastic-Sand Composite Brick Experimental Data (47 Studies, 2018-2025)

Figshare 2026
Bonaventure Ezenwaka, Modupe Onitiri

Summary

Researchers combined data from 47 studies to create a large database on bricks made from recycled plastic mixed with sand, looking at how strong and durable these materials are. This isn't a new health study, but it's an important resource for building safer, more sustainable homes and buildings out of plastic waste instead of letting it pile up in landfills or break down into microplastics that pollute our environment. For consumers, this kind of research supports the development of construction materials that could reduce plastic pollution while still meeting safety standards.

This dataset comprises structured data extracted from 47 peer-reviewed experimental studies on the mechanical properties of plastic-sand composite bricks, published between 2018 and 2025, yielding 222 individual data points. It was compiled through a systematic literature review following PRISMA 2020 reporting principles, drawing on studies from Africa, Asia, Europe, and North America.For each data point, the following parameters are recorded where available: study ID, year of publication, country or region, plastic type (HDPE, LDPE, PET, and others), plastic fraction (% by weight), sand particle size (mm), compressive strength (MPa), density (kg/m³), reported application type, and testing standard referenced.The dataset covers plastic fractions ranging from 5% to 100% by weight, compressive strength values from 0.78 MPa to 77.00 MPa, and density values from 706.5 kg/m³ to 2070.0 kg/m³. It is intended as a reusable open research resource for studies on circular construction materials, plastic waste valorisation and composite brick performance.Researchers are encouraged to use, extend, and build upon this dataset for replication studies, meta-analyses, and novel modelling frameworks in the field of sustainable construction materials.

Share this paper