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Published on: January 6, 2023
Modelling porous structures by penalty approach in the extended finite element method
1Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117576, Singapore. ttqnhu@gmail.com
This study introduces a new method using the extended finite element method (XFEM) to efficiently model complex porous structures, like trabecular bone, without formula changes.
Area of Science:
- Computational mechanics
- Materials science
- Biomaterials engineering
Background:
- Porous structures are prevalent in natural and engineered materials.
- Accurate modeling of these complex geometries is crucial for performance prediction.
- Existing methods may struggle with intricate internal boundaries.
Purpose of the Study:
- To propose and validate a novel computational methodology for analyzing porous structures.
- To demonstrate the efficiency and adaptability of the extended finite element method (XFEM) for complex geometries.
- To model porous structures with varying characteristics, including biological examples.
Main Methods:
- Utilized the extended finite element method (XFEM) coupled with a penalty approach.
- Treated holes as inclusions with a very small Young's modulus within a matrix.
- Employed the level set method to accurately represent the internal boundaries of pores.
- Investigated diverse porous structures and applied the method to trabecular bone microstructure.
Main Results:
- Successfully modeled various complex porous structures.
- Demonstrated the capability of XFEM to handle intricate internal boundaries effectively.
- Validated the methodology using a realistic example of trabecular bone microstructure.
- Showcased efficient simulation without significant alterations to established XFEM formulations.
Conclusions:
- The proposed XFEM-based methodology offers an efficient and versatile approach for modeling complex porous structures.
- The technique accurately captures the geometry of internal boundaries, crucial for mechanical analysis.
- This method provides a robust framework for studying porous materials, including biological tissues like bone.
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