DSRAC Mix Ratio Design: Concrete Performance with Desert Sand and Recycled Aggregates

Xiumei Zheng's dataset on figshare contains experimental results for designing desert sand recycled aggregate concrete (DSRAC). The data likely includes test parameters like CLDHs dosage, DS substitution rate, and RA substitution rate, and results from compressive strength, chloride ion migration, NMR, SEM, and XRD analyses. The dataset was last updated on June 3, 2026.

Use Cases

• Predict concrete compressive strength based on mix ratios and pore structure parameters.
• Analyze chloride ion diffusion coefficients to assess concrete durability.
• Model the relationship between pore structure (gel pores, total porosity) and macroscopic properties.
• Optimize concrete mix designs for arid saline areas using desert sand and recycled aggregates.

Strengths

• The dataset is based on a systematic analysis of macroscopic properties and microstructural evolution using multiple testing methods.
• A quantitative performance prediction system with a relative error of less than 8% was constructed.
• The optimal mix ratio (6% CLDHs, 30% DS, 30% RA) is identified, showing a 33.09% reduction in chloride ion diffusion coefficient.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (9.5 KB), indicating a limited scope.

Provenance

Source

figshare, author Xiumei Zheng.

Collection Method

Experimental data from laboratory tests on concrete samples.

Freshness

Last updated 2026-06-03 17:45:00; freshness should be verified.

Geography

Likely relevant to arid desert areas, such as Xinjiang.