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.

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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

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article

Predicting multiaxial stiffness degradation using uniaxial data — A model based on non-proportional experiments on a structural adhesive

Claudio Balzani, Alexander Krimmer, M. Eder, Michael Kuhn
International Journal of Fatigue
Structural Health Monitoring Techniques
article

Predicting multiaxial stiffness degradation using uniaxial data — A model based on non-proportional experiments on a structural adhesive

Claudio Balzani, Alexander Krimmer, M. Eder, Michael Kuhn
article en

Abstract

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.

International Journal of FatigueVol. 202
Leibniz University Hannover (DE), Syneos Health (Germany) (DE), Technical University of Denmark (DK)
Energiteknologisk udviklings- og demonstrationsprogram
Openalex Percentile: Top 78%
Structural Health Monitoring Techniques
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