3D Concrete Printing Mix Design Data from Academic Publications

An open dataset of concrete mix designs compiled from published academic literature. The data was collected by Jianhao Gao at the University of Florida. The specific number of rows and columns is unknown.

Use Cases

• Optimizing concrete formulations for 3D printing based on mix design parameters mentioned in the description
• Benchmarking new mix designs against published literature data
• Training predictive models for concrete printability and strength based on ingredient proportions

Strengths

• Data is sourced from peer-reviewed publications, suggesting a foundation in verified research
• The dataset is explicitly described as open access, facilitating reuse

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified

Provenance

Source

University of Florida

Collection Method

Collected from academic publications