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Wake Forest University

Injury Metrics, Real World Crash Reconstruction, and Robust Injury Prediction for a Human Body Model in Side Impact

Abstract

dc:description.abstract

Motor vehicle crashes (MVCs) are a significant public health problem. Worldwide, MVCs kill over 1.2 million people each year. Improved understanding of the occupant loading conditions in real world crashes is critical for injury prevention and new vehicle design. Real world crash reconstructions using vehicle and human body finite element models (HBM) have the potential to elucidate injury mechanism, predict injury risk, and evaluate injury mitigation system effectiveness. The purpose of the work presented herein was to create a novel paradigm in finite element (FE) MVC injury analysis to evaluate injury risk in real world crash scenarios.

Degree

thesis:*
Grantor dc:publisher
Wake Forest University
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Golman, Adam Joseph

Subjects

dc:subject × 1

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10339/38566
OAI identifier oai:identifier
oai:wakespace.lib.wfu.edu:10339/38566

Chain of custody

source
Harvested from
Wake Forest University
Base URL
wakespace.lib.wfu.edu/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Golman, Adam Joseph. Injury Metrics, Real World Crash Reconstruction, and Robust Injury Prediction for a Human Body Model in Side Impact. Wake Forest University, 2013. http://hdl.handle.net/10339/38566