Capturing Regional Variation in Aortic Mechanics: Dual-Estimation Method for Material Parameter Identification and Microstructural Correlation
A Python library for solving mixed va`riational problems with multiple fields, specifically designed for fitting hyperelastic material models (like the Holzapfel-Gasser-Ogden model) to experimental data from extension tests, such as those performed using an Instron machineused for publishing `Capturing Regional Variation in Aortic Mechanics: Dual-Estimation Method for Material Parameter Identification and Microstructural Correlation` Manuscript
Institutions
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-02
- DOI
- https://doi.org/10.5281/zenodo.17849406
- Primary Topic
- Elasticity and Material Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00