Literature DB >> 35293827

Annulus Calibration Increases the Computational Accuracy of the Lumbar Finite Element Model.

Chen Xu1, Zhipeng Xi2, Zhongxin Fang3, Xiaoyu Zhang2, Nan Wang2, Jingchi Li1,4, Yang Liu1.   

Abstract

STUDY
DESIGN: Mechanical simulations.
OBJECTIVE: Inadequate calibration of annuli negatively affects the computational accuracy of finite element (FE) models. Specifically, the definition of annulus average radius (AR) does not have uniformity standards. Differences between the elastic moduli in the different layers and parts of the annulus were not fully calibrated when a linear elastic material is used to define its material properties. This study aims to optimize the computational accuracy of the FE model by calibrating the annulus.
METHODS: We calibrated the annulus AR and elastic modulus in our anterior-constructed lumbar model by eliminating the difference between the computed range of motion and that measured by in vitro studies under a flexion-extension loading condition. Multi-indicator validation was performed by comparing the computed indicators with those measured in in vitro studies. The computation time required for the different models has also been recorded to evaluate the computational efficiency.
RESULTS: The difference between computed and measured ROMs was less than 1% when the annulus AR and elastic modulus were calibrated. In the model validation process, all the indicators computed by the calibrated FE model were within ±1 standard deviation of the average values obtained from in vitro studies. The maximum difference between the computed and measured values was less than 10% under nearly all loading conditions. There is no apparent variation tendency for the computational time associated with different models.
CONCLUSION: The FE model with calibrated annulus AR and regional elastic modulus has higher computational accuracy and can be used in subsequent mechanical studies.

Entities:  

Keywords:  annulus; average radius; elastic modulus; finite element; model calibration

Year:  2022        PMID: 35293827     DOI: 10.1177/21925682221081224

Source DB:  PubMed          Journal:  Global Spine J        ISSN: 2192-5682


  2 in total

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Journal:  Front Bioeng Biotechnol       Date:  2022-08-30

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  2 in total

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