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Conventional approval requirements exclusively ask for minimum strength values, which have to be met. The probabilistic approach estimates how likely none of the comparatively manufactured units fails during operation.
Both questions are juxtaposed and compared here with respect to the load cycle tests. The influence of the sample sizes is discussed additionally.
Existing regulations and standards for the approval of composite cylinders in hydrogen service are currently based on deterministic criteria (ISO 11119-3, UN GTR No. 13). This paper provides a systematic analysis of the load cycle properties resulting from these regulations and standards. Their characteristics are compared with the probabilistic approach of the BAM. Based on Monte-Carlo simulations the available design range of all concepts is compared. In addition, the probability of acceptance for potentially unsafe design types is determined.
This presentation provides general data about BAM, the structure of department 3 and a short impression of the application of pressure vessels for hydrogen in stationary use, supply chain and onboard storage.
It guides to the actions of BAM as competent authority on this area and shows a lot different methods for testing operated at BAM. Based on this additional research has been detected as necessary for a competent tackling of the tasks as competent authority. After having mentioned several important research projects a figure is presented that compares the development of regulations with relevant re-actions of BAM. The outcome was a concept of a risk based definition of accepted failure rates in combination with probability-oriented safety assessment over entire service life.
The second aspect raised at INERIS is the issue of advising the BMVI concerning pressure vessels for hydrogen. Since the pressure is high for saving material consumption and weight there is still high interest in changing regulatory requirements. Therefor we developed an approach for the display of minimum requirements of regulations in diagrams (sample performance charts; SPC) and the probabilistic analysis for these deterministic requirements. This is done by Monte-Carlo simulation and the analysis of acceptance rate and survival rate of basic populations all over the SPC.
This finally provide same knowledge of non-approvable but safe ranges of parameters and even approvable but non-safe constellations. In addition, this analysis allows to optimise deterministic requirements in regulations to the intended level of safety for approved populations of pressure vessels, which is shown on the example of the GTR#13.