Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Prabhu, Raj Kumar

Committee Member

Chowdhury, Souma

Committee Member

Priddy, Lauren B.

Committee Member

Reneker, Jennifer

Committee Member

Elder, Steven H.

Other Advisors or Committee Members

Keith, Jason M.

Date of Degree

8-9-2019

Original embargo terms

Visible to MSU only for 2 years

Document Type

Graduate Thesis - Open Access

Major

Biomedical Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Agricultural and Biological Engineering

Abstract

This study presents mathematical surrogate models, derived from finite element kinematic response data, to predict car crash-induced occupant head and neck injury risk for a broad range of impact velocities (10 – 45 mph), impact locations, and angles of impact (-45° to 45°). The development of these models allowed for wide-scale injury prediction while significantly reducing the overall required number of impact test cases. From these, increases in both the impact velocity and the impact’s locational proximity to the occupant were determined to result in the greatest head and neck injury risks. Additionally, strong interactions between the impact orientation variables (location and angle) produced significant changes in the head injury risk, while the neck injury risk was relatively insensitive to these interactions; likely due to the uniaxiality of the current standard neck injury risk metrics. Overall, this methodology showed potential for future applications in wide-scale injury prediction or vehicular design optimization.

URI

https://hdl.handle.net/11668/14510

Sponsorship

This material is based upon work supported by ERDC under Contract No. W912HZ-17-C-0021. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the ERDC. Public release; distribution unlimited.

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