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A Method for Studying the Temperature Dependence of Dynamic Fracture and Fragmentation
Published on: June 28, 2015
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Particle fracture regimes from impact simulations
Duc Chung Vu1,2, Lhassan Amarsid1, Jean-Yves Delenne3
1CEA, DES, IRESNE, DEC, SESC, LDOP, Saint Paul les Durance 13108, France.
Physical Review. E
|May 17, 2024
Summary
This study models particle breakage using polyhedral cells and fracture mechanics. It reveals three impact energy regimes governing particle damage, fragment size, and shape, with implications for material science.
Area of Science:
- Computational mechanics
- Material science
- Geophysics
Background:
- Understanding particle breakage is crucial for various scientific and engineering fields.
- Existing models often simplify particle geometry and fracture mechanics.
Purpose of the Study:
- To develop and implement a discrete element model for simulating single particle breakage upon impact.
- To analyze the influence of impact energy on fracture dynamics and fragment characteristics.
Main Methods:
- Modeling particles as aggregates of polyhedral cells with surfaces governed by the Griffith fracture criterion.
- Implementing the model within a discrete element code.
- Simulating particle impact on a rigid plane under varying normalized impact energy (ω).
Main Results:
- Identified three distinct fracture regimes based on normalized impact energy: elastic rebound, crack propagation without breakup, and fragmentation.
- Observed that the restitution coefficient initially declines and then increases with impact energy beyond a fragmentation threshold.
- Demonstrated that particle damage, restitution coefficient, and fracture efficiency scale with dimensionless parameters.
- Found fragment mass distributions follow a power-law, and fragment shape characteristics align with experimental and lunar sample data at optimal fracture efficiency.
Conclusions:
- The developed model accurately captures particle breakage phenomena across different impact energy levels.
- The study provides insights into scaling laws for fragment size and shape distributions.
- Results offer valuable data for optimizing fracture processes and understanding granular material behavior.
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