Sign inSubmit
ArticleMetrics
Research Article · Free to read · Published 30 November 2007

A Biomechanical Composite Model to Determine Effective Elastic Moduli of the CNS Gray Matter

Mehdi Khoshgoftar, Siamak Najarian, Farhad Farmanzad, Bahman Vahidi & Farhad Tabatabai Ghomshe

American Journal of Applied Sciences, Volume 4, Issue 11, pp. 918–924 · doi.org/10.3844/ajassp.2007.918.924

7,775 accesses4,680 downloads8 citations (Crossref)Metrics
Cite Check for updates

Abstract

Brain tissue is a heterogeneous material with complicated microstructural features. Models based on microstructure can lead to more accurate and physically realistic predictions of mechanical characteristics of brain tissue. A two-step Mori-Tanaka/Voigt homogenization procedure is implemented into a 3D microstructurally-based multi-phase composite model, composed of randomly-oriented elastic axons, dendrites and neuronal cell bodies surrounded by an elastic matrix. The effects of microstructure-related scale on the effective elastic moduli of the cerebral cortex are analyzed by comparing the predictions from classical and micropolar continuum theories. For the first time, composite material rules and micropolar continuum theory have been utilized to investigate brain biomechanics. These findings can assist future efforts to be directed towards relating the microstructural aspects of the brain tissue to its macroscopic behavior.

Licence and reuse

Free to read. This article carries the publisher’s copyright, as printed on it: © 2007 Science Publications. It is free to read; ask us before reusing it.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Khoshgoftar, M., Najarian, S., Farmanzad, F., Vahidi, B. & Ghomshe, F. T. (2007). A Biomechanical Composite Model to Determine Effective Elastic Moduli of the CNS Gray Matter. American Journal of Applied Sciences, 4(11), 918–924. https://doi.org/10.3844/ajassp.2007.918.924

Licence
© Science Publications
Issue
Volume 4, Issue 11
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
A Biomechanical Composite Model to Determine Effective Elastic Moduli of the CNS Gray MatterAmerican Journal of Applied Sciences · Volume 4, Issue 11 · pp. 918–924 · © Science PublicationsDownload