Static and Dynamic Compliance Data for Thick-Walled Vessel Models

Raw experimental data measures the static and dynamic compliance of thick-walled vessel models constructed from silicone and polyvinyl alcohol hydrogel. The dataset, created by Ashkan Shiravand, was last updated in April 2026 and is stored in DOCX and 7Z files totaling 32.8 MB. It supports the validation of mathematical models for vessel wall mechanics.

Use Cases

• Validate mathematical models of vessel wall compliance using experimental pressure-volume or strain data.
• Compare the mechanical properties of silicone and PVA hydrogel materials under static and dynamic loading conditions.
• Analyze the relationship between model wall thickness and measured compliance values from the raw test data.
• Train regression models to predict dynamic compliance from static test parameters for different hydrogel formulations.

Strengths

• Data is published under a permissive CC-BY-4.0 license, allowing for broad reuse.
• Includes experimental results for two distinct material types (silicone and PVA hydrogel) for comparison.
• Dataset was updated in 2026, indicating recent activity and potential recency.

Limitations

• The total data volume is 32.8 MB, which is a small scale for extensive machine learning.
• Specific row counts, column names, and data structure are unknown from the provided metadata.
• Data is packaged in DOCX and 7Z archives, which may require extraction and parsing before analysis.

Provenance

Source

Ashkan Shiravand via figshare.

Collection Method

Experimental validation using fabricated thick-walled vessel models.

Freshness

Last updated on 2026-04-07.