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Avalanche dynamics in hierarchical fiber bundles
Soumyajyoti Biswas1,2, Michael Zaiser1
1WW8-Materials Simulation, Department of Materials Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Dr.-Mack-Str. 77, 90762 Fürth, Germany.
Hierarchical structures in materials can weaken them, but a specific arrangement can significantly increase failure strength. This study explores avalanche dynamics in hierarchical fiber bundle models near failure.
Area of Science:
- Materials Science
- Physics
- Mechanical Engineering
Background:
- Heterogeneous materials often exhibit hierarchical organization, repeating basic units across multiple scales.
- This self-similar pattern influences material properties, particularly failure strength and mechanical response.
- Hierarchical structures are prevalent in both biological and synthetic materials.
Purpose of the Study:
- To investigate the avalanche dynamics of a hierarchical fiber bundle model during system failure.
- To determine how hierarchical organization affects the failure strength of materials.
- To identify specific hierarchical arrangements that might enhance material resilience.
Main Methods:
- Utilized a fiber bundle model incorporating hierarchical structural organization.
- Analyzed the avalanche dynamics exhibited by the model as it approached failure.
- Compared the failure strength of hierarchical models with non-hierarchical reference structures.
Main Results:
- Generally, hierarchical structures were found to decrease the failure strength compared to non-hierarchical systems.
- A specific hierarchical arrangement was identified that significantly increased the failure threshold.
- Avalanche dynamics were observed to be characteristic of the hierarchical organization during failure progression.
Conclusions:
- Hierarchical organization in materials can be detrimental to failure strength.
- Optimized hierarchical designs offer potential for substantially improving material resilience.
- Understanding avalanche dynamics in hierarchical systems is crucial for predicting and enhancing material performance.
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