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Numerical simulation proves that the proposed model can be used to obtain an accurate reliability result, an effective prediction of reliability variation and also a convenient prediction of low reliability cases.
This book provides a practical means for aircraft manufacturers and operators to consider the feasibility of SHM by examining labor work reduction, structural reliability variation as well as maintenance cost savings.
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Failure data from field provide useful information to assess if the changes in product reliability variations are significant or not and to identify the cause for the variation.
The range of reliability variations for the subsystems "t", "4" and "5" are separately presented in this figure.
Open image in new window Fig. 15 a d The range of reliability variations for the subsystems "t", "4" and "5" and the entire system.
Results are used in a Monte-Carlo simulation to assess reliability, and variation thereof depending on the statistical descriptions used for steel, concrete, and FRP, and results are compared using different methods for the computation of β.
Reliability and variation in precipitation matter.
Figure 9 shows the results for the reliability index variation with time for the critical locations at the support.
Open image in new window Fig. 9 Reliability index variation of the structural capacity with time Table 10 Critical time of the critical structural capacity of the slab bridge Critical locations Critical time (years) Decrease percentage Without load-induced cracks With load-induced cracks Top reinforcement at the support 20.5 15%5 15%.
The reliability (interobserver variation) was estimated, with a κ = 0.51.
Results were analyzed in point accuracy (including absolute and relative differences), rate-of-change accuracy, and sensor reliability (including variation around mean performance and data reporting percentage).
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