Mean Crushing Force Predictions for Thin-Walled Metallic Structures

Shreyas Anand, René Alderliesten, and Saullo G. P. Castro from Delft University of Technology published this dataset in the International Journal of Impact Engineering in 2024. It compares analytical models for predicting the mean crushing force of closed-section thin-walled metallic structures against a database of numerical and experimental values. The dataset supports a generalized model with a reported coefficient of determination (R^2) of 0.97.

Use Cases

• Benchmarking analytical crushing models based on the described numerical and experimental dataset.
• Predicting mean crushing force for thin-walled tubular structures based on cross-sectional shape and crushing mode.
• Improving existing analytical models for energy absorption during axial crushing events.

Strengths

• Dataset is the official implementation of a peer-reviewed paper published in the International Journal of Impact Engineering.
• Supports a generalized predictive model with a reported high coefficient of determination (R^2) of 0.97.

Limitations

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

Provenance

Source

Delft University of Technology

Collection Method

Likely contains numerical simulations and experimental results compiled for model evaluation.