On the effect of testing uncertainties in the homologation tests of motorcycle helmets according to ECE 22.05

Industrial products designed for a specific task need to prove their capability to fulfil their design goal through experimental homologation procedures. Homologation standards define the necessary steps for these experimental tests in a very detailed manner but still are not entirely capable of accounting for any imprecisions in the definition of the testing procedure and variability in its carrying out. This paper addresses the issue of testing uncertainties that are related to the homologation standard ECE 22.05 for motorcycle helmets. Finite Element simulations are performed in the framework of an uncertainty analysis based on fuzzy-valued testing parameters, which are an adequate and very practicable method to represent the homologation uncertainties. Through the uncertainty analysis, large uncertainties are found for the relevant homologation quantities. They are entirely in agreement with the homologation standards. Moreover, the most important testing parameters are identified and recommendations for improving the homologation standards are formulated.

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