Bone Adaptation-Driven Design of Periodic Scaffolds

David O. Cohen, Sohaila M.G. Aboutaleb, Amy Wagoner Johnson, Julian A. Norato

Research output: Contribution to journalArticlepeer-review

Abstract

This work introduces a computational method for designing bone scaffolds for maximum bone growth. A mechanobiological model of bone adaptation is used to compute the bone growth, taking into account the shape of the defect, the applied loading, and the existing density distribution of the bone in which the scaffold has been implanted. Numerical homogenization and a geometry projection technique are used to efficiently obtain surrogates of the effective elastic and diffusive properties of the scaffold as a function of the scaffold design and the bone density. These property surrogates are in turn used to perform bone adaptation simulations of the scaffold-bone system for a sampling of scaffold designs. Surrogates of the bone growth in the scaffold at the end of the simulated time and of the strain energy of the scaffold at implantation time are subsequently constructed from these simulations. Using these surrogates, we optimize the design of a scaffold implanted in a rabbit femur to maximize volume bone growth into the scaffold while ensuring a minimum stiffness at implantation. The results of the optimization demonstrate the effectiveness of the proposed method by showing that maximizing bone growth with a constraint on structural compliance renders scaffold designs with better bone growth than what would be obtained by only minimizing compliance.

Original languageEnglish (US)
Article number121701
JournalJournal of Mechanical Design
Volume143
Issue number12
DOIs
StatePublished - Dec 1 2021

Keywords

  • Design of engineered materials system
  • simulation-based design
  • structural optimization

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Fingerprint

Dive into the research topics of 'Bone Adaptation-Driven Design of Periodic Scaffolds'. Together they form a unique fingerprint.

Cite this