Self-Compacting Concrete Strength Tests With Robo Sand And GGBS

Vikas Sharma's experimental dataset evaluates the mechanical and structural properties of self-compacting concrete. The work applies the Okamora technique for mix design optimization, replacing cement with GGBS and fine aggregate with Robo sand. Tests measure fresh properties, hardened compression strength, split tensile strength, and flexural strength of beams.

Use Cases

• Optimize concrete mix design using the Okamora technique to target maximum compression strength.
• Analyze the relationship between fresh property test results and hardened split tensile strength outcomes.
• Model the effect of GGBS and Robo sand material substitutions on the flexural strength of concrete beams.
• Compare durability property measurements against mechanical strength results like compression and tensile strength.

Strengths

• Dataset is derived from controlled experimental work on material optimization.
• Includes measurements for multiple concrete properties: fresh state, compression, tensile, flexural, and durability.
• Focuses on a specific, advanced concrete type: self-compacting concrete.

Limitations

• Sample size and row count are unknown, limiting statistical power for analysis.
• Specific column names and data structure are unavailable, complicating direct machine learning application.
• Geographic origin and temporal context of the experiments are not specified.

Provenance

Source

Vikas Sharma via PapersWithCode

Collection Method

Experimental laboratory testing applying the Okamora mix design technique.

Time Range

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Freshness

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Geography

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