6.3 Application of PIT to experimental data
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Statutory Documents - IMO Publications and Documents - Circulars - Maritime Safety Committee - MSC.1/Circular.1227 – Explanatory Notes to the Interim Guidelines for Alternative Assessment of the Weather Criterion – (11 January 2007) - Annex - Explanatory Notes to the Interim Guidelines for Alternative Assessment of the Weather Criterion - 6Alternative procedure 2: Parameter identification technique (PIT) - 6.3Application of PIT to experimental data

6.3 Application of PIT to experimental data

  6.3.1 The same experimental data used in the Alternative Procedure 1 above have been used in the application of the PIT. Scope of this application is to predict the roll response peak for the tested required steepness s = 0.0383 by starting from available data at smaller steepnesses, i.e. 1/40 and 1/60. The following three calculations have been carried out:

  • .1 Calculation 1: prediction of φ 1r by fitting of the model on the steepness s = 1/60;

  • .2 Calculation 2: prediction of φ 1r by fitting of the model on the steepness s = 1/40;

  • .3 Calculation 3: prediction of φ 1r by fitting of the model on both the steepness s = 1/40 and s = 1/60;

  6.3.2 In the case of calculations 1 and 2, being only one steepness available, the reduced model (N-6.2) has been used, and because of the linearity of the curve and because of the absence of any evident bending in the response curve it has been assumed that γ 3 = 0 .

  6.3.3 In the case of calculation 3, being two steepnesses available, additional terms have been added. Two different analytical model have then been used: the first model is exactly the same as that used for calculation 1 and 2, whereas in the second model the linear damping coefficient μ has been left free (see (N-6.3)). However, in both cases, the assumption of linear restoring, i.e., γ 3 = 0 and γ 5 = 0 , has been kept.

  6.3.4 In all cases the roll response curve has been determined through an analytical approximate nonlinear frequency domain approach where the response curve is obtained by means of the harmonic balance technique [3].

  6.3.5 The used analytical models and the results obtained through the application of the PIT are summarized in Table 6.1, while a global picture of the roll response curves is given from figure 6.3 to figure 6.6.

  6.3.6 From the analysis of the reported exercise it seems that the PIT together with the proposed analytical reduced models is able to reasonably predict the ship roll response curve at the largest steepness by starting from the fitting of the roll response curve(s) experimentally obtained at lower steepnesses. The pure quadratic damping model allows for the achievement of good predictions of the experimental peak, probably thanks to the presence of bilge keels. In the case of linear+quadratic damping model, a negative linear damping coefficient has been obtained, that is, of course, physically meaningless. However, the equivalent linear damping in the range of tested angles as given by the fitted model in Calculation 3-LQ is, of course, positive. The negative sign in the linear damping coefficient is thus due to the fact that the equivalent linear damping obtained from the fitted model in the range of tested rolling amplitudes better fits the experimental data according to the minimization procedure. If a series of experiments had been carried out at smaller steepnesses with subsequent fitting, it would have increased the linear damping coefficient, making it, probably, positive. Bearing in mind the theoretical background of the PIT technique, negative linear damping coefficients are often not a real practical problem, even if their presence usually indicates that different types of analytical modelling for the damping function could lead to a better representation of the real ship damping.

Analytical models used in the fitting and fitted parameters (model scale)

  Calculation 1 Calculation 2 Calculation 3-Q Calculation 3-LQ
Steepness used in the fitting 1/60 1/40 1/60 and 1/40
Analytical model
Fitted coefficients ω 0 = 3.344rad/s
β = 0.520rad -1
α 0 = 0.873
ω 0 = 3.348rad/s
β = 0.518rad -1
α 0 = 0.857
ω 0 = 3.346rad/s
β = 0.519rad -1
α 0 = 0.864
ω 0 = 3.345rad/s

β = 0.684rad -1
α 0 = 0.833
Predicted value in degrees of φ 1r for s = 0.0383 28.3 28.1 28.2 27.0
Corresponding value of φ 1 = 0.7 • φ 1r 19.8 19.7 19.7 18.9
Experimentally determined φ 1 in degrees 19.3

Response curves for Calculation 1

Response curves for Calculation 2

Response curves for Calculation 3-Q

Response curves for Calculation 3-LQ

  6.3.7 In order to better explain this latter point, an additional calculation (Calculation 3-LQC) has been carried out using experimental data for steepnesses s=1/60 and s=1/40 in the fitting procedure together with a more flexible linear+quadratic+cubic model for the damping, keeping the linear restoring assumption, i.e.:

  6.3.8 The obtained parameters are as follows:

ω 0 = 3.345rad/s
= 0.013
β = 0.126rad -1
δω 0 = 0.929rad -2
α 0 = 0.844

  6.3.9 It can be seen that now the negative linear damping has disappeared, and that the nonlinear damping component is distributed among the quadratic and cubic term. Although this result is more sound from a physical point of view, it is not necessarily the best one in terms of the predicted roll peak at s = 0.0383. The predicted peak of the roll response is, indeed, φ 1r = 26.6° leading to φ1 = 18.6°. The reduction in the predicted roll peak is likely due to the introduction of the cubic term. A summarizing plot is given in figure 6.7.

Response curves for Calculation 3-LQC


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