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This presentation explains how the evaluation of technical requirements in regulations effects safety level. This shown by using the Monte-Carlo experiment consequently.
The first step is to explain how deterministic requirements and how probabilistic requirements work. Then the statistical behaviour of the generally unknown basic population can be described and that his behaviour is independent from the regulatory approach. Subsequently, the concept of evaluating sample test results with respect to deterministic requirements is explained. The item “acceptance rate” of the basic population that is behind each sample and behind each individuum in a sample is defined. On this collective understanding, the differences in evaluation between the probabilistic approach PA and the most important RC&S are discussed. Some areas are validated in contradictorily. Then the parameters for acceptance of burst strength in the UN-GTR#13 are varied and opens the door for an accurate improvement of acceptance criteria. Finally, the special aspects of degradation in load cycle testing are shown. There, two aspects must be differentiated, the current reliability and its degradation by ongoing load cycles. This is a convincing argument against the very common opinion, which means that the number of hydraulically tested load cycles pro-vides a figure for the number of acceptable filling cycles.