Page 447 - Pipelines and Risers
P. 447

414                                                              Chapter 22


          To fully  account for the  fatigue damage from  all  seastates and  all  directions of  loading,
          linearisation of riser response is required. Linearisation is the process by which the fluctuation
          of  stresses along the riser length in one loading condition is assumed to be related to that of
          another loading condition.
          Linearisation can be conducted in a number of ways such as:
          -  Lumping of seastates
          -  Lumping of loading direction
          -  Assuming riser response is proportional to wave height
          When linearisation is implemented, it should be demonstrated that the chosen approach errs
          on the side of  conservatism. The extent to which  linearisation is used should therefore be
          limited to an extent which avoids undue conservatism. This will generally preclude extensive
          use of  the first two methods identified above. The third method, which  is commonly used,
          requires splitting of the scatter diagram into windows. A single seastate from each window is
          analyzed to determine the response transfer function, or stress RAO, along the riser length for
          each of  the windows. The transfer function for a given  window  are then used to determine
          riser response in the other seastates of the window, assuming the transfer function is constant
          across the window. Fatigue damage from each seastate can then be determined based on an
          assumed statistical distribution of  response and the total fatigue damage across the scatter
          diagram summed.
          Careful consideration must be given to the method of scatter diagram windowing, accounting
          for variation in wave height and period and the effects of  selecting different parameters. The
          mean  slow drift offsets of  individual seastates must also be considered as these can have a
          significant influence on TDP fatigue damage distribution. Hence, the linearisation analysis
          must  use  wave height,  period  and  offset representative of  the  window. Typically, 5 or 6
          windows may be required. A preliminary assessment of the scatter diagram can be conducted
          to identify seastates, which provide the greatest contribution to total fatigue damage.


          2.  Analysis method


          A spectral fatigue analysis approach can be applied for first order fatigue analysis. Fatigue
          damage is based on time domain random sea analyses since the non-linearity’s of the system
          can be large, particularly around the critical touch down point. The fatigue seastates are split
          into a number of  windows and one seastate selected from each window  for the purpose of
          response linearisation. Mean  second order motions are accounted for as part of  first order
          fatigue analysis by use of  appropriate floater offsets when conducting linearisation analyses.
          Time-domain random sea analysis is carried out on each of the 3 linearisation seastates, for 3
          directions of loading (far, near and transverse). Timetraces of  tension and bending variations
          in the riser are combined to provide transfer functions of total axial stress variation for each of
          the  linearisation seastates, at  each of  8  points  around the riser circumference. The fatigue
          damage resulting from each seastate is then determined using the total stress transfer function
          obtained from the relevant linearisation seastate and initially assuming that stress peaks are
          Rayleigh distributed. The damage from different seastates is summed using the Miner rule.
          The assumption that response is Rayleigh distributed is calibrated by  calculation of  fatigue
          damage from riser total stress response timetraces. Fatigue life estimates along the riser length
          are made using both  a statistical (Rayleigh) approach and by  stress cycle counting, and the
          differences evaluated.
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