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Microstructural Modeling and Multiscale Mechanical Properties Analysis of Cancellous Bone

Zhiqiang Huang1, 2, Yufeng Nie1, *, Yiqiang Li1

1 Research Center for Computational Science, Northwestern Polytechnical University, Xi’an, 710072, China.
2 School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, 030024, China.

* Corresponding Author: Yufeng Nie. Email: email.

Computers, Materials & Continua 2020, 62(1), 245-265. https://doi.org/10.32604/cmc.2020.06284

Abstract

This paper is devoted to the microstructure geometric modeling and mechanical properties computation of cancellous bone. The microstructure of the cancellous bone determines its mechanical properties and a precise geometric modeling of this structure is important to predict the material properties. Based on the microscopic observation, a new microstructural unit cell model is established by introducing the Schwarz surface in this paper. And this model is very close to the real microstructure and satisfies the main biological characteristics of cancellous bone. By using the unit cell model, the multiscale analysis method is newly applied to predict the mechanical properties of cancellous bone. The effective stiffness parameters are calculated by the up-scaling multi-scale analysis. And the distribution of microscopic stress in cancellous bone is determined through the down-scaling procedure. In addition, the effect of porosity on the stiffness parameters is also investigated. The predictive mechanical properties are in good agreement with the available experimental results, which verifies the applicability of the proposed unit cell model and the validness of the multiscale analysis method to predict the mechanical properties of cancellous bone.

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Cite This Article

Z. Huang, Y. Nie and Y. Li, "Microstructural modeling and multiscale mechanical properties analysis of cancellous bone," Computers, Materials & Continua, vol. 62, no.1, pp. 245–265, 2020.

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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