Final report for WP4.3: Enhancement of design methods ... - Upwind
Final report for WP4.3: Enhancement of design methods ... - Upwind
Final report for WP4.3: Enhancement of design methods ... - Upwind
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Table 5.16 shows the required FDF values <strong>for</strong> different values <strong>of</strong> the α∆σ(U) function, namely the function<br />
in Figure 5.2 and one where α∆σ(U) is constant. It is seen that almost the same FDF values are obtained.<br />
Table 5.16: Required FDF and corresponding partial safety factors γf γm in ( ) <strong>for</strong> different values <strong>of</strong> COV∆. ∆βmin,FAT<br />
= 3.5.<br />
α∆σ(U) Mudline<br />
Figure 2<br />
moment, Constant<br />
FDF (γf γm) 2.27 (1.31) 2.24 (1.31)<br />
If a bi-linear SN curve is used then the required FDF values are shown in Table 5.17. Also shown are the<br />
decreases in <strong>design</strong> values using a bi-linear SN-curve instead <strong>of</strong> a linear SN-curve. It is seen that compared<br />
to a linear SN-curve larger FDF values are required, but at the same time smaller <strong>design</strong> values are<br />
obtained.<br />
Table 5.17: FDF and corresponding partial safety factors γf γm in ( ) and given ∆βmin,FAT (∆PF,max,FAT). Bi-linear SNcurve.<br />
Wind turbine in wind farm<br />
∆βmin,FAT (∆PF,max,FAT) 3,1 (10 -3 ) 3,5 (2 10 -4 ) 3,8 (10 -4 )<br />
FDF 2.45 3.96 5.62<br />
z Bilin / zlin<br />
0.84 0.84 0.84<br />
The stochastic model shown in Table 5.2 is used with model uncertainty on wind load, XWind and model<br />
uncertainty on wake effect model, XWake LogNormal distributed with expected values = 1 and coefficient <strong>of</strong><br />
variations COVWind = = 0.10 and COVWake =0.10. This stochastic model is considered as representative <strong>for</strong><br />
a fatigue sensitive detail where consequences <strong>of</strong> failure are large, partly on [39], [40] and [41] and partly<br />
based on engineering judgment. It is assumed that 5 wind turbines are close to the wind turbine considered<br />
with distance between wind turbines di = 4 rotor diameters.<br />
Table 5.18: Required FDF and corresponding partial safety factors γf γm in ( ) <strong>for</strong> given ∆βmin,FAT (∆PF,max,FAT). (–)<br />
indicates that FDF ≤ 1.<br />
P(COL|FAT) 3,1 (10 -3 ) 3,5 (2 10 -4 ) 3,8 (10 -4 )<br />
1.0 1.80 (1.22) 2.54 (1.37) 3.26 (1.48)<br />
0.5 1.49 (1.14) 2.17 (1.29) 2.81 (1.41)<br />
0.1 1.0 (1.0) 1.40 (1.12) 1.95 (1.25)<br />
0.01 1.0 (1.0) 1.0 (1.0) 1.0 (1.0)<br />
If a linear SN-curve with m = 3 is used then Table 5.18 shows the required FDF values <strong>for</strong> PF,max = 10 -4 , 2<br />
10 -4 , 10 -3 and <strong>for</strong> P(COL|FAT) = 1.0, 0.5, 0.1 and 0.01. In brackets is shown the corresponding values <strong>of</strong> the<br />
product <strong>of</strong> the load and material partial safety factors γf γm. For a minimum annual reliability index equal to<br />
3.5 FDF = 2.3 (and partial safety factor 1.31) is obtained if the consequence <strong>of</strong> the fatigue failure is large.<br />
Table 5.19 shows the required FDF values <strong>for</strong> different values <strong>of</strong> COVWake. It is seen that the required FDF<br />
is not sensitive with respect to COVWake.<br />
Table 5.19: Required FDF and corresponding partial safety factors γf γm in ( ) <strong>for</strong> different values <strong>of</strong> COVWake.<br />
COVWake 0.05 0.10 0.15<br />
FDF (γf γm ) 2.54 (1.36) 2.54 (1.37) 2.55 (1.37)<br />
46