Grey Correlation Degree Calculations for Waste Glass and Rice Husk Concrete

5.5 KB of calculation results for grey correlation degree analysis from a study on low-carbon concrete. The dataset, authored by Jiayuan Lou and last updated in April 2026, originates from research investigating the synergistic use of silicon-rich solid wastes like glass sand, glass powder, and rice husk ash. It supports findings on optimal silicon-to-calcium ratios for material strength and durability.

Use Cases

• Modeling the relationship between silicon-to-calcium ratio and concrete performance based on the described experimental results.
• Analyzing the correlation between material composition and durability metrics like water penetration resistance mentioned in the description.
• Validating shear damage constitutive models for nonlinear response under varying material ratios as described in the study.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Specific performance metrics are described, such as a 0.54% mass loss rate and a 2.6% ultrasonic velocity reduction.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare, author Jiayuan Lou.

Collection Method

Likely contains calculated results from laboratory experiments on concrete samples.

Time Range

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Freshness

Last updated 2026-04-28 17:43:58; freshness should be verified.

Geography

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