Effects from material parameters of craniocerebral tissues on impact responses of child head
10.3871/j.1004-7220.2016.03.254
- VernacularTitle:颅脑组织材料参数对儿童头部冲击响应的影响
- Author:
Yue CHEN
1
;
Shi-hai CUI
1
;
Hai-yan LI
1
;
Li-juan HE
1
;
Shi-jie RUAN
1
Author Information
1. College of Mechanical Engineering, Tianjin University of Science and Technology
- Publication Type:Journal Article
- Keywords:
Child head;
Finite element model;
Craniocerebral tissues;
Orthogonal experimental design;
Head impact responses
- From:
Journal of Medical Biomechanics
2016;31(3):E254-E260
- CountryChina
- Language:Chinese
-
Abstract:
Objective In view of the uncertainties of material parameters for child craniocerebral tissues, the effects of such parameters on responses of child head under direct impact loads were investigated. Methods The impact simulation experiments were conducted under direct impact loads by using a validated finite element model of 3-year-old child head. Taguchi orthogonal method and variance analysis were performed to analyze the material properties of craniocerebral tissues in child head. Results Elastic modulus of the skull had statistically significant effects on impact responses of child head. With the skull elastic modulus increasing, the coup pressure decreased significantly (P=0.000), whereas the contrecoup pressure (P=0.000) and maximum Von Mises stress of the skull increased significantly (P=0.000). The linear viscoelastic material parameters of brain tissues also had statistically significant effects on impact responses of child head. With the increase of the short-time shear modulus of brain tissues, the maximum shear stress of brain tissues increased significantly (P=0.000) whereas the maximum principal strain decreased significantly (P=0.000). Conclusions These statistical analysis results can provide references for selecting material parameter of craniocerebral tissues in finite element model of child head, which will be helpful to improve diagnosis accuracy of brain injuries such as concussion difficult to be definitely diagnosed when using brain CT images in clinic.
