Multiscale design of artificial bones with biomimetic elastic microstructures

Area of Science:

• Biomaterials Science
• Biomechanics
• Computational Engineering

Background:

• Cancellous bone's hierarchical structure offers a unique combination of strength and lightness.
• Understanding its mechanics is crucial for diagnosing bone diseases, assessing fracture risk, and developing tissue engineering solutions.

Purpose of the Study:

• To develop a multiscale optimization method for maximizing the stiffness of artificial bones.
• To utilize biomimetic cellular microstructures defined by geometrical parameters.

Main Methods:

• Implementation of an interior point optimization algorithm.
• Use of response surface methodology to create analytical functions for the microstructure's elastic tensor.
• Application of the adjoint method to compute sensitivity analysis for macroscopic mechanical response.

Main Results:

• The developed tool was tested on a proximal femur model under physiological loads.
• Two strategies for solid volume fraction constraints were evaluated.
• The model successfully predicted the spatial arrangement of trabecular and cortical microstructures, matching actual human bone data.

Conclusions:

• The multiscale optimization method effectively designs artificial bone microstructures.
• The approach provides a robust tool for creating biomimetic bone scaffolds and implants.
• This research advances the design of artificial bone replacements and tissue engineering scaffolds.