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Research Article
Sep 10, 2018

Restraint Systems in Tactical Vehicles: Uncertainty Study Involving Airbags, Seatbelts, and Military Gear

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 5, Issue 1

Abstract

Adding advanced safety features (e.g., airbags) to restraint systems in tactical vehicles could decrease the injury risk of their occupants. The impact of frontal crashes on the occupants has been assessed recently through experimental data and finite element (FE) models. However, the number of such experiments is relatively small due to high cost. In this paper, we conduct an uncertainty study to infer the advantage of including advanced safety features, if a larger number of experiments were possible. We introduce the concept of group injury risk distribution that allows us to quantify under uncertainty the injury risk associated with advanced safety features, while averaging out the effect of uncontrollable factors such as body size. Statistically, the group injury risk distribution is a mixture of individual injury risk distributions of design conditions in the group. We infer that advanced safety features have the potential to reduce substantially injury risk in frontal crashes. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4040917.

Information & Authors

Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 5Issue 1March 2019

History

Received: Aug 29, 2017
Revision received: Jul 9, 2018
Published online: Sep 10, 2018
Published in print: Mar 1, 2019

Authors

Affiliations

Dorin Drignei [email protected]
Mathematics and Statistics Department, Oakland University, Rochester, MI 48309 e-mail: [email protected]
Zissimos P. Mourelatos [email protected]
Mechanical Engineering Department, Oakland University, Rochester, MI 48309 e-mail: [email protected]
Ervisa Zhamo [email protected]
Mathematics and Statistics Department, Oakland University, Rochester, MI 48309 e-mail: [email protected]
University of Michigan, Transportation Research Institute, Ann Arbor, MI 48109 e-mail: [email protected]
University of Michigan, Transportation Research Institute, Ann Arbor, MI 48109 e-mail: [email protected]
Matthew Reed [email protected]
University of Michigan, Transportation Research Institute, Ann Arbor, MI 48109 e-mail: [email protected]
Rebekah Gruber [email protected]
U.S. Army Tank Automotive Research, Development and Engineering Center, Warren, MI 48397 e-mail: [email protected]

Funding Information

Automotive Research Center10.13039/100008192: W56HZV-14-2-0001

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