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ssc-367 - Ship Structure Committee

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Following the weighting of the short-term density functions, the<br />

long-term density functions for the structure’s design life are<br />

obtained. While the cumulative damage may be computed through<br />

numerical integration, an approximation is introduced to allow<br />

application of a closed-form solution. Typically, a Weibull shape<br />

parameter (Weibull distribution) is used in predicting cumulative<br />

fatigue damage based on the 1ong-term, closed-form method. This<br />

subject is discussed further in Section 6 and in a comprehensive<br />

paper by Chen and Mavrakis (Reference7.24).<br />

7.5<br />

OVERVIEW AND RECOMMENDATIONS<br />

7.5.1<br />

Application of S-N Curves<br />

The S-N curves used indeterminingfatiguedamage computations should<br />

be compatible with structural details investigated. The S-N curve<br />

including the effect of peak stresses should be used together with<br />

nominal stresses at the detail, while the S-N curve uninfluenced by<br />

the weld profile should be used with nominal stresses increased“by<br />

appropriate SCFS.<br />

Scatter in fatigue test data should also be appropriately accounted<br />

for. One primary parameter affecting scatter of S-N data may be<br />

plate thickness. As plate thickness increases higher localized<br />

stresses will occur near plate surface, accelerating propagation of<br />

fatigue cracks. Consideringthat small specimen S-Ndata needto be<br />

adjusted for scale effects and a reasonable confidence level should<br />

be achieved, S-N curves may be obtained assuming 95% to 97.5%<br />

confidence level and a log normal distribution.<br />

There are other parameters that are difficult to assess yet they<br />

affect the crack growth and fatigue failure, causing substantial<br />

scatter of S-N data points. One importantconsideration is the size<br />

of initialflaw (crack)and another is the number of flaws. Although<br />

further work is necessary, Morgan’s (Reference 7.25) findings on<br />

7-19

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