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Updated: Aug 15, 2025

Fracture Apparatus Design and Protocol Optimization for Closed-stabilized Fractures in Rodents
Published on: August 14, 2018
Development and Implementation of Element Deletion Algorithm into an Open-Source Software Based on the Fracture Locus
Zaki Alomar1, Lorenzo Maccioni1, Franco Concli1
1Faculty of Science and Technology, Free University of Bolzano/Bozen, 39100 Bolzano, Italy.
This study introduces a novel element deletion algorithm for accurate fracture simulation. The method effectively predicts failure initiation and crack growth in various geometries, enhancing material modeling reliability.
Area of Science:
- Computational mechanics
- Materials science
- Finite element analysis
Background:
- Accurate fracture simulation relies heavily on reliable material models.
- Predicting ductile damage and failure initiation is crucial but challenging.
- Representing fracture growth accurately remains a significant hurdle in material modeling.
Purpose of the Study:
- To develop and implement an element deletion algorithm for improved fracture simulation.
- To enhance the accuracy of predicting fracture growth in material models.
- To integrate this algorithm into open-source finite element software.
Main Methods:
- An element deletion algorithm was developed and implemented in open-source finite element software.
- Deleted elements were replaced with virtual low-stiffness material cells.
- The algorithm's functionality was validated through 2D simulations on multiple geometries and a 3D lattice structure.
Main Results:
- The algorithm successfully predicted failure initiation, crack nucleation, and fracture growth in 2D simulations.
- In 3D simulations, the onset and initial fracture region were accurately captured.
- Convergence issues were noted in 3D simulations, impacting fracture growth visualization.
Conclusions:
- The developed element deletion algorithm shows promise for accurate fracture simulation.
- The algorithm demonstrates capability in predicting key aspects of material failure.
- Further improvements are suggested to enhance computational functionalities and address convergence issues.
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