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

Author:

Nan JiFeng1,Rezaei Mohammadreza1,Mazhar Rashid2,Jaber Fadi3,Musharavati Farayi4,Zalnezhad Erfan15ORCID,Chowdhury Muhammad E. H.6ORCID

Affiliation:

1. Department of Mechanical Engineering, Hanyang University, Seoul, Republic of Korea

2. Thoracic Surgery-Pulmonology, Hamd Hospital, Doha, Qatar

3. Department of Biomedical Engineering, Ajman University, Ajman 2758, UAE

4. Mechanical and Industrial Engineering Department, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar

5. Department of Biomedical Engineering, UTSA, Texas 78249, USA

6. Department of Electrical Engineering, Qatar University, Doha 2713, Qatar

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.

Funder

Qatar National Research Fund

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine

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