Rate-Dependent Adhesive Debonding Data with Python Analysis Code

Giulio Alfano published this 452.0 KB dataset alongside a research article accepted by Engineering Fracture Mechanics. It contains experimental data and Python code for characterizing rate-dependent mode-II adhesive debonding. The dataset includes CSV files and Python scripts for a novel load-displacement curve parametrization.

Use Cases

• Modeling rate-dependent adhesive failure based on load-displacement curve parametrization.
• Validating computational fracture mechanics models based on experimental debonding data.
• Developing new curve-fitting algorithms for material testing based on the provided Python code.

Strengths

• Includes the Python code described in the associated peer-reviewed article.
• Dataset is openly licensed under CC-BY-4.0 for reuse and modification.
• Data is directly linked to a publication in Engineering Fracture Mechanics, providing academic context.

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 small at 452.0 KB, indicating a limited experimental scope.

Provenance

Source

Giulio Alfano via figshare.

Collection Method

Likely contains experimental data from adhesive debonding tests.

Freshness

Last updated 2026-06-02 11:12:26; freshness should be verified.