Abstrak - Olivia Maria Tarawan
Terbatas Esha Mustika Dewi
» Gedung UPT Perpustakaan
Terbatas Esha Mustika Dewi
» Gedung UPT Perpustakaan
Biodegradable magnesium implants are promising temporary supports for fracture fixation
because they can gradually degrade while transferring load back to the healing bone.
Computational modelling, especially finite element analysis, provides useful approach to
investigate the mechanical and biological interaction between healing tissue and degrading
implants. However, bone healing and implant degradation are often modelled separately, even
though both processes interact through changes in stiffness, stability, and local mechanical
stimulus. This study aims to develop a Python-based finite element framework that couples
mechanoregulation-based bone healing with biodegradable scaffold degradation as a proof-ofconcept
simulation approach.
The framework was developed using stepwise modelling strategy. Simplified model with
prescribed callus geometry was first used to test the main computational modules, followed by
an estimated callus model generated through low-strain element removal. The bone healing
module includes cell diffusion, mechanoregulation-based tissue phenotype prediction, and
tissue property update. The degradation module simulates progressive scaffold material loss,
with the degradation parameter tuned using a bisection method to control the remaining scaffold
percentage. The coupled simulation was implemented using a serial day-by-day procedure,
where callus properties were updated first, followed by scaffold degradation and geometry
update.
The developed framework successfully integrated callus maturation and scaffold degradation
within one finite element workflow. The model can produce cell concentration distribution,
tissue phenotype evolution, callus stiffness development, scaffold degradation pattern, and
remaining scaffold percentage. Although the model uses simplified geometry and static loading,
it provides a modular computational basis for future studies involving realistic loading,
experimental calibration, and validation.
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