Validation of lumbar spine finite element model - Open Research Data - Bridge of Knowledge

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Validation of lumbar spine finite element model

Description

The functional biomechanics of the lumbar spine have been better understood by finite element method (FEM) simulations. However, there are still areas where the behavior of soft tissues can be better modeled or described in a different way. The purpose of this research is to develop and validate a lumbar spine section intended for biomechanical research. A FE model of the 50th percentile anthropomorphic male (AM) Total Human Model for Safety (THUMS) v6.1 was used to implement the modifications. The main modifications were to apply orthotropic material properties and nonlinear stress‒strain behavior for ligaments, hyperelastic material properties for annulus fibrosus and nucleus pulposus, and the specific content of collagenous fibers in the annulus fibrosus ground substance. Additionally, a separation of the nucleus pulposus from surrounding bones and tissues was implemented. The FE model was subjected to different loading modes, in which intervertebral rotations and disc pressures were calculated. Loading modes contained different forces and moments acting on the lumbar section: axial forces (compression and tension), pure moments and combined loading modes of axial forces and pure moments. The obtained ranges of motion from the modified numerical model concurred with experimental data for all loading modes. Moreover, intradiscal pressure validation for the modified model presented good agreement with the data available from the literature. This study demonstrated the modifications of the THUMS v6.1 model and validated the obtained numerical results with existing literature. By applying the proposed changes, it is possible to better model the behavior of the human lumbar section under various loads and moments to assess the risk of injury.

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License:
Creative Commons: 0 1.0 open in new tab
CC 0
Public Domain Dedication
File embargo:
2123-03-01
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Details

Year of publication:
2023
Verification date:
2023-01-30
Creation date:
2023
Dataset language:
English
Fields of science:
  • civil engineering, geodesy and transport (Engineering and Technology)
  • biomedical engineering (Engineering and Technology)
DOI:
DOI ID 10.34808/4n5h-3949 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

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