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Continuum mechanical analysis of space and time dependent deformation pattern of brain with blunt injury

Abstract

dc:description.abstract

Deformation of human brain due to acceleration impact has been widely accepted as the direct connection to the Trauma Brain Injury (TBI). However, the limitation of obtaining deformation data of TBI is a major obstacle to understanding TBI mechanism. This experiment mainly focuses on developing a method to measure deformation pattern of brain with blunt injury. First of all, displacement data of markers on sagittal plane of an injury head model was collected using 3D reconstruction software after an impact test. Second, the displacement data was used to calculate 2D Lagrangian strain tensor and the principal strain. The temporal and spatial results of principal strain under different variables including impact velocity (5 mile/hour, 3 mile/ hour), impact location (crown head, front head) and concentration of gel used to build the brain model (10%, 20%) were compared. The results shown larger strain values within the variables of higher impact velocity, crown head impact location and 10% gel. The spatial location results shown clearly the difference in terms of deformation pattern of different impact locations.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Biomedical Engineering - (M.S.)
Discipline thesis:degree_discipline
Biomedical Engineering
Year
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Miao, Chen
Contributors dc:contributor
  • Bryan J. Pfister
  • N. Chandra
  • Max Roman

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/286
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1285

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Miao, Chen. Continuum mechanical analysis of space and time dependent deformation pattern of brain with blunt injury. 2016. https://digitalcommons.njit.edu/theses/286