THE INFLUENCE OF BRAIN TISSUE MATERIAL PARAMETERS ON THE RESPONSE OF DYNAMIC CHARACTERISTICS BASED ON FINITE ELEMENT MODEL
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Published:2019-12
Issue:08
Volume:19
Page:1940058
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ISSN:0219-5194
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Container-title:Journal of Mechanics in Medicine and Biology
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language:en
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Short-container-title:J. Mech. Med. Biol.
Author:
YANG BIN1,
SUN HAO1,
WANG AIYUAN1,
WANG QUN2
Affiliation:
1. School of Automobile & Rail Transit, Nanjing Institute of Technology, Nanjing 211167, P. R. China
2. College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, P. R. China
Abstract
Aiming at the uncertainty of material parameters of human brain tissue, the influence of tissue material performance sensitivity on frequency and mode shape under free vibration is studied. In this paper, the 50th percentile finite element (FE) model of human head and neck with detailed anatomical characteristics has been chosen as the research object, the parameters of skull, cerebrospinal fluid (CSF) and brain tissue materials with high sensitivity are analyzed by orthogonal test design and variance analysis. The results show that the natural frequencies of Group 7, Group 8 and Group 9 are all around 230[Formula: see text]Hz, which are basically consistent with the initial parameter of 229.18[Formula: see text]Hz, and the intracranial displacements of the three groups are also concentrated on the lateral nasal cartilage. The main reason is that the Young’s modulus of the skull used in three groups of experiments is 9780[Formula: see text]Mpa, which is close to the initial parameter of 8000[Formula: see text]Mpa. It indicates that the material parameter of the skull has the greatest influence on the dynamic characteristics of human head and neck, followed by the CSF and brain tissue. This study provides an effective method for vehicle safety and head and neck injury protection, and supplies a reference for FE analysis of head collision damage.
Funder
Natural Science Foundation of Jiangsu Province, China
Six Talent Peaks Project in Jiangsu Province, China
Nanjing Institute of Technology, China
Postgraduate Research and Practice Innovation Program of Jiangsu Province, China
Publisher
World Scientific Pub Co Pte Lt
Subject
Biomedical Engineering