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Growing multiblock structures: a semi-automated approach to block placement for multiblock hexahedral meshing
Austin J Ramme1, Kiran H Shivanna, Amy J Criswell
1Carver College of Medicine, The University of Iowa, Iowa City, USA.
Summary
This study introduces an automated method for generating hexahedral meshes in finite element (FE) analysis for orthopaedic biomechanics. The new algorithm significantly reduces the time needed for subject-specific FE model development using geometric centreline analysis.
Area of Science:
- Orthopaedic Biomechanics
- Computational Mechanics
- Medical Imaging
Background:
- Finite element (FE) analysis is crucial in orthopaedic biomechanics research.
- Subject-specific FE models are generated from 3D medical imaging.
- Manual hexahedral meshing is a time-consuming bottleneck in FE model development.
Purpose of the Study:
- To develop an automated algorithm for generating multiblock structures for hexahedral mesh generation.
- To reduce the time and manual effort required for finite element model development.
- To enable automatic generation of multiblock structures based on a surface's geometric centreline.
Main Methods:
- Developed an algorithm utilizing angular analysis of a 3D surface's geometric centreline.
- Algorithm uses user-defined points and parameters to automatically generate multiblock structures.
- Applied the algorithm to 47 diverse bone geometries for mesh generation.
Main Results:
- Successfully generated multiblock structures and FE meshes for all 47 tested bone geometries.
- The automated approach significantly reduces the time required for FE model development.
- Demonstrated the algorithm's capability to handle a wide range of geometric variations.
Conclusions:
- The proposed algorithm offers a significant advancement in automating multiblock structure generation for FE analysis.
- This method effectively streamlines the creation of subject-specific FE models in orthopaedic biomechanics.
- The approach is robust and applicable to various bone geometries, enhancing research efficiency.
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