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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Steel substructure <strong>for</strong> <strong>of</strong>fshore wind turbines – wind load<br />
In this section reliability analysis and Fatigue Design Factors are per<strong>for</strong>med <strong>for</strong> fatigue sensitive details in<br />
a steel substructure <strong>for</strong> a single wind turbine and <strong>for</strong> a wind turbine in a wind farm.<br />
The mean wind speed is assumed to be Weibull distributed with scale parameter = 10.0 m/s and shape<br />
coefficient = 2.3. It is assumed that the reference turbulence intensity is Iref =0.14.<br />
number<br />
300<br />
250<br />
200<br />
150<br />
100<br />
50<br />
0<br />
0 2000 4000 6000 8000 10000<br />
44<br />
M_x (kNm)<br />
Figure 5.1: Number <strong>of</strong> load cycles in a 10 minutes period <strong>for</strong> mudline bending moment. Mean wind speed equal to 14<br />
m/s.<br />
Figure 5.1 shows a typical distribution <strong>of</strong> stress ranges <strong>for</strong> a pitch controlled wind turbine <strong>for</strong> mudline<br />
bending moments, see [34]. Generally, the stress ranges can be modelled by a Weibull distribution. The<br />
Weibull shape coefficient k is typically in the range 0.8 – 1.0. These results are <strong>for</strong> cases where the response<br />
is dominated by the “background” turbulence in the wind load. The corresponding number <strong>of</strong> load<br />
cycles per year is typically ν = 5.10 7 .<br />
sig_M / sig_u<br />
2400<br />
2000<br />
1600<br />
1200<br />
800<br />
400<br />
0<br />
0 5 10 15 20 25<br />
U (m/s)<br />
Figure 5.2: σ∆σ(U)/σu(U) <strong>for</strong> mudline bending moment – pitch controlled wind turbine.<br />
In Figure 5.2 is shown a typical example <strong>for</strong> a pitch controlled wind turbine <strong>of</strong> α∆σ(U)/z = σ∆σ(U)/σu(U), i.e.<br />
the ratio between the standard deviations <strong>of</strong> stress ranges and turbulence at a given mean wind speed U.<br />
The ratio is seen to be non-linear due to the effect <strong>of</strong> the control system.<br />
Single wind turbine<br />
The stochastic model shown in Table 5.2 is used with XWind LogNormal distributed with expected value = 1<br />
and coefficient <strong>of</strong> variation, COVWind = 0.10. If a linear SN-curve with m = 3 is used then Table 5.11 shows<br />
the required FDF values <strong>for</strong> ∆PF,max = 10 -4 , 2 10 -4 , 10 -3 and <strong>for</strong> P(COL|FAT) = 1.0, 0.5, 0.1 and 0.01. In<br />
brackets is shown the corresponding values <strong>of</strong> the product <strong>of</strong> the load and material partial safety factors γf<br />
γm. For a minimum annual reliability index equal to 3.5, FDF = 2.3 (and partial safety factor 1.31) is obtained<br />
if the consequence <strong>of</strong> the fatigue failure is large.