title: Vehicular Causation Factors and Conceptual Design Modifications to Reduce Aortic Strain in Numerically Reconstructed Real World Nearside Lateral Automotive Crashes.
abstract: Aortic injury (AI) leading to disruption of the aorta is an uncommon but highly lethal consequence of trauma in modern society. Most recent estimates range from 7,500 to 8,000 cases per year from a variety of causes. It is observed that more than 80% of occupants who suffer an aortic injury die at the scene due to exsanguination into the chest cavity. It is evident that effective means of substantially improving the outcome of motor vehicle crash-induced AIs is by preventing the injury in the first place. In the current study, 16 design of computer experiments (DOCE) were carried out with varying levels of principal direction of force (PDOF), impact velocity, impact height, and impact position of the bullet vehicle combined with occupant seating positions in the case vehicle to determine the effects of these factors on aortic injury. Further, a combination of real world crash data reported in the Crash Injury Research and Engineering Network (CIREN) database, Finite Element (FE) vehicle models, and the Wayne State Human Body Model-II (WSHBM-II) indicates that occupant seating position, impact height, and PDOF, in that order play, a primary role in aortic injury.
authors.affiliation: The Center for Injury Research and Prevention, The Children's Hospital of Philadelphia, 3535 Market Street, Suite 1150, PA 19104, USA ; Department of Biomedical Engineering, Wayne State University, 818 W. Hancock, Detroit, MI 48201, USA.
authors.forename: Aditya
authors.initials: A
authors.lastname: Belwadi
authors.affiliation: Department of Biomedical Engineering, Wayne State University, 818 W. Hancock, Detroit, MI 48201, USA.
authors.forename: King H
authors.initials: KH
authors.lastname: Yang
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality / Q000517:prevention & control / Q000706:statistics & numerical data*; D001011:Aorta / Q000293:injuries* / Q000503:physiopathology; D001336:Automobiles / Q000706:statistics & numerical data; D001696:Biomechanical Phenomena; D001698:Biomedical Engineering; D003198:Computer Simulation; D004867:Equipment Design / Q000706:statistics & numerical data; D020342:Finite Element Analysis; D006801:Humans