Mean and standard deviation of crack morphology parameters

Mean and standard deviation of crack morphology parameters

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In this paper a probabilistic Leak-Before-Break analysis for WWER-1000 unit was performed based on the Failure Assessment Diagram (FAD), treating strength and crack morphology parameters as stochastic values. In order to perform probabilistic calculations Critical temperature of brittleness and Yield (Ultimate) Stress, were fitted by normal distrib...

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Context 1
... for LBB concept Henry-Fauske flow model is used with modified parameters accounting for crack morphology Rundlan et al. (2002). A flow model is an important part of analysis, since different crack types have a great differences in friction (µL, µG), bend and protrusion (nL), flow length (KG, KGL) parameters (see Table 3). Influence of half crack length on COA and pressure loss parameters is shown in Fig. 4. From Fig. 4(right) we can see that pressure loss due to bends and protrusions has the most significant impact, thus a special attention should be paid on IGSCC crack types (see Table 3). ...
Context 2
... flow model is an important part of analysis, since different crack types have a great differences in friction (µL, µG), bend and protrusion (nL), flow length (KG, KGL) parameters (see Table 3). Influence of half crack length on COA and pressure loss parameters is shown in Fig. 4. From Fig. 4(right) we can see that pressure loss due to bends and protrusions has the most significant impact, thus a special attention should be paid on IGSCC crack types (see Table 3). ...
Context 3
... using Eq. (4), COA as well as COD were calculated, followed by leak rate estimations, according to modified Henry-Fauske model for different crack types (see Table 3.). Some results of these calculations are presented in Fig. 5-7. ...
Context 4
... we can see from Fig. 5, accounting for crack morphology strongly affects the results scatter, and it is more significant then mechanical properties scatter (see Fig. 6 and Fig. 7). Among the crack morphology characteristics nL(number of bends and protrusions per mm of flow length) is the most significant parameter, that's why IGSCC crack type (see Table 3) is the most representative in failure analysis. It can be seen from Fig 6 that Fracture toughness has bigger influence rather than Ultimate (Yield) strength, which corresponds to Stefanini & Bloom (2018) results. ...

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