Page 430 - Wind Energy Handbook
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404                                                     COMPONENT DESIGN


            In deriving the fatigue damage plots in Figure 7.15, a mid-range value of 4 has
          been adopted, resulting in total damages of 0.96 and 0.17 for the pitch and stall
          regulated machines respectively. However, if, the minimum value of 2.7 were
          adopted, corresponding to ó 0k ¼ ó ck and ª mu ¼ ª mf , the fatigue damages would rise
          by a factor of 50 for m ¼ 10.
            The other important material property governing the criticality of fatigue loading
          is, of course, the slope index of the log–log S–N curve, m, which affects the value of
          the notional one cycle equivalent load, ó eq(n¼1) . With the high values applicable to
          wood laminates, fatigue is much less likely to govern.


          Other sources of variability

          There are a number of other sources of variability in fatigue damage calculations,
          apart from uncertainty about the material properties themselves, some of which are
          detailed below.

          (1) IEC 61400-1 provides two alternative stochastic turbulence models – those due
             to Von Karman and Kaimal. The Von Karman model is isotropic, whereas in the
             Kaimal model, which is more realistic in this respect, the standard deviations of
             lateral and vertical turbulences are 80 percent and 50 percent of the longitudinal
             turbulence respectively. In the case of stall-regulated machines, where wind
             misalignment at high wind speeds is often the main source of fatigue damage,
             the choice of turbulence model could clearly have a decisive effect.

          (2) When the fatigue assessment is based on simulations of limited duration
             (typically 300 to 600 s), the damage is often dominated by a few extreme cycles,
             which are subject to significant statistical variation from one simulation to
             another. Accordingly several simulations at a given mean wind speed are
             necessary to obtain an accurate result (Thomsen, 1998).

          (3) In allowing for the reduction in fatigue strength due to mean stress. For
             example, in Equation (7.7), the mean stress can either be calculated over each
             stress range obtained by rainflow cycle counting or over the length of the
             simulation.



          Fatigue due to gravity loading

          In-plane fatigue loads arise from gravity loading and fluctuations in the in-plane
          aerodynamic loadings, but gravity loadings dominate for machines large enough to
          be grid connected, rendering the loading calculation relatively straightforward.
            In order to compare the approximately constant amplitude in-plane fatigue
          loading with the spectrum of out-of-plane fatigue loading, it is convenient to
          express both as equivalent loads at a specified number of cycles, n eq . Often the 1 Hz
          equivalent load is used, in which case the number of cycles, n eq , is equal to the
          number of seconds in the machine lifetime during which the machine operates. For
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