Government agencies, globally, often strive to minimize the  
risk of human death and serious injury on road transport  
systems. Multi-national projects like Vision Zero have been  
developed with this objective in mind. Therefore, from an  
engineering design standpoint, the minimization of these road  
impact effects on occupants becomes a major design goal. This  
necessitates a need to quantify and manage injury risks on the  
human body in terms of different vehicular impact variables and  
their associated uncertainties for different crash scenarios.  
In this paper, we present a decision-based robust design  
framework to quantify and manage the impact-based injury risks  
on occupants for different computational model-based car crash  
scenarios. The key functionality offered is the designer’s  
capability to carry out robust design studies with a focus on  
managing the selected impact variables and associated  
uncertainties, such that injury risks are controlled within  
acceptable levels. The efficacy of the framework is tested for  
near side impact scenarios with impact velocity and angle of  
impact as the critical variables of interest. Two injury criteria,  
namely, Head Injury Criterion (HIC) and Lateral Neck Injury  
Criteria (Lateral Nij) are selected to quantitatively measure the  
head and neck injury risks in crash simulations. Using the  
framework, a robust design problem is formulated to explore the  
combination of impact variables that best satisfice the injury  
goals defined. The framework and associated design constructs  
are generic and support the formulation and decision-based  
robust design of vehicle impact scenarios for managing injury  
risks.


Head and Neck Injury Risk Criteria-Based Robust Design for Vehicular Crashworthiness

Division / Sponsors: 
Design Engineering Division and Computers & Information In Engineering Division


Paper Proceedings: https://asmedigitalcollection.asme.org/IDETC-CIE/IDETC-CIE2020/volume/83907

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