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contributor authorAditya Belwadi
contributor authorJohn H. Siegel
contributor authorAadarsh Singh
contributor authorJoyce A. Smith
contributor authorKing H. Yang
contributor authorAlbert I. King
date accessioned2017-05-09T00:48:40Z
date available2017-05-09T00:48:40Z
date copyrightJanuary, 2012
date issued2012
identifier issn0148-0731
identifier otherJBENDY-27246#011006_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148302
description abstractTraumatic rupture of the aorta (TRA) remains the second most common cause of death associated with motor vehicle crashes, only less prevalent than brain injury. On average, nearly 8000 people die annually in the United States due to blunt injury to the aorta. It is observed that over 80% of occupants who suffer an aortic injury die at the scene due to exsanguination into the chest cavity. In the current study, eight near side lateral impacts, in which TRA occurred, were reconstructed using a combination of real world crash data reported in the Crash Injury Research and Engineering Network (CIREN) database, finite element (FE) models of vehicles, and the Wayne State Human Body Model - II (WSHBM). For the eight CIREN cases reconstructed, the high strain regions in the aorta closely matched with the autopsy data provided. The peak average maximum principal strains in all of the eight CIREN cases were localized in the isthmus region of the aorta, distal to the left subclavian artery, and averaged at 22 ± 6.2% while the average maximum pressure in the aorta was found to be 117 ± 14.7 kPa.
publisherThe American Society of Mechanical Engineers (ASME)
titleFinite Element Aortic Injury Reconstruction of Near Side Lateral Impacts Using Real World Crash Data
typeJournal Paper
journal volume134
journal issue1
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4005684
journal fristpage11006
identifier eissn1528-8951
keywordsFinite element analysis
keywordsVehicles
keywordsWounds
keywordsCrashworthiness
keywordsAorta
keywordsPressure
keywordsFinite element model
keywordsDeformation
keywordsDatabases AND Rupture
treeJournal of Biomechanical Engineering:;2012:;volume( 134 ):;issue: 001
contenttypeFulltext


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