Predicting multiaxial stiffness degradation using uniaxial data — A model based on non-proportional experiments on a structural adhesive
In this work, multiaxial experiments on a structural adhesive with varying levels of non-proportionality are analyzed with a focus on the stiffness degradation process. A load level-dependent stiffness degradation model is employed that captures both, Young’s and shear modulus degradation. It was found that a multiaxial stiffness degradation can be modeled with good approximation as a superposition of the uniaxial stiffness degradations. Furthermore, the results indicate an insignificant influence of the level of non-proportionality on both Young’s and shear modulus degradation for the analyzed short fiber-reinforced adhesive. • Superposition of uniaxial data is sufficient to model biaxial degradation behavior. • Proposal of a versatile, load level-dependent stiffness degradation model. • The stiffness degradation is found independent of the level of non-proportionality.
Authors
- Claudio Balzani (ORCID: https://orcid.org/0000-0003-3432-3476)
- Alexander Krimmer
- M. Eder (ORCID: https://orcid.org/0000-0002-5306-365X)
- Michael Kuhn
Institutions
- Leibniz University Hannover (DE)
- Syneos Health (Germany) (DE)
- Technical University of Denmark (DK)
Publication Details
- Journal
- International Journal of Fatigue
- Published
- 2025-08-20
- DOI
- https://doi.org/10.1016/j.ijfatigue.2025.109240
- Primary Topic
- Structural Health Monitoring Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Energiteknologisk udviklings- og demonstrationsprogram