Biokinetics and Associates Limited

Published purpose

The design of helmets has traditionally been straightforward with basic performance requirements. More recently, performance standards, such as for American Football, have introduced added complexities dealing with linear and rotational kinematics, a second order system for injury assessment and regionally weighted responses across multiple impact conditions resulting in over 70 degrees of freedom. AI is considered as a viable approach to facilitate helmet design and requires a tiered approach spanning material selection to helmet layup to ensure robustness and accuracy of the solutions. The current proposal addresses the application of AI to impact management materials to create a foundation for predictive and generative approaches.