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Activity Number: 160 - Quantifying Uncertainty
Type: Topic Contributed
Date/Time: Monday, July 30, 2018 : 10:30 AM to 12:20 PM
Sponsor: Uncertainty Quantification for Complex Systems Interest Group
Abstract #328661
Title: Uncertainty Quantification of Injury Risk Measures
Author(s): Dorin Drignei*
Companies: Oakland University
Keywords: finite element models; calibration; mixture distributions; vehicle safety

Injury risk measures are commonly used in vehicle safety research. Recently we assessed the impact of frontal crashes on vehicle occupants, through experimental data and finite element models. However, the number of such experiments is relatively small due to high cost. In this talk we discuss 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 occupant 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 the injury risk in frontal crashes, and we quantify under uncertainty this decrease.

Authors who are presenting talks have a * after their name.

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