Theses and Dissertations

Issuing Body

Mississippi State University


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


Original embargo terms

Visible to MSU only for 2 years

Document Type

Graduate Thesis - Open Access


Biomedical Engineering

Degree Name

Master of Science


James Worth Bagley College of Engineering


Department of Agricultural and Biological Engineering


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.



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