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Finite Element Analysis of the Mechanism of Traumatic Aortic Rupture (TAR)

  • Jifeng Nan
  • , Mohammadreza Rezaei
  • , Rashid Mazhar
  • , Fadi Jaber
  • , Farayi Musharavati
  • , Erfan Zalnezhad
  • , Muhammad E.H. Chowdhury
  • Hanyang University
  • Hamd Hospital
  • Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University
  • University of Texas at San Antonio
  • Department of Electrical Engineering, Qatar University

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

As many as 80% of patients with TAR die on the spot while out of those reaching a hospital, 30% would die within 24 hours. Thus, it is essential to better understand and prevent this injury. The exact mechanics of TAR are unknown. Although most researchers approve it as a common-sense deceleration injury, the exact detailed mechanism of TRA still remains unidentified. In this work, a deceleration mechanism of TAR was carried out using finite element analysis (FEA). The FE analysis aimed to predict internal kinematics of the aorta and assist to comprehend the mechanism of aorta injury. The model contains the heart, lungs, thoracic aorta vessel, and rib cage. High-resolution computerized tomography (HR CT scan) was used to provide pictures that were reconstructed by MIMICS software. ANSYS FE simulation was carried out to investigate the behavior of the aorta in the thoracic interior after deceleration occurred during a car crash. The finite element analysis indicated that maximum stress and strain applied to the aorta were from 5.4819e5 to 2.614e6 Pa and 0.21048 to 0.62676, respectively, in the Y-direction when the initial velocity increased from 10 to 25 m/s. Furthermore, in the X-direction when the velocity changed from 15 to 25 m/s, the stress and strain values increased from 5.17771e5 to 2.3128e6 and from 0.22445 to 0.618, respectively.

Original languageEnglish
Article number6718495
JournalComputational and Mathematical Methods in Medicine
Volume2020
DOIs
StatePublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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