GNGTS 2021 - Atti del 39° Convegno Nazionale

GNGTS 2021 S essione 2.2 302 The outputs of Kendall’s test effectively echo the main observations deriving from the preliminary visual inspection and provide more objective criteria for assessing the influence of each of the dimensionless parameters on 2D aggravation parameters. Fig. 3 shows the scatterplots of the peak spectral aggravation AGF max versus the dimensionless parameters for which the Kendall’s test revealed a strong statistical dependence (i.e., Ys+). Outputs are plotted by section shape as defined in Tab. 2. Several observations can be inferred from Fig. 3. First, deaggravation occurs predominantly for k xL >0.6, while maximum aggravation occurs most frequently at the center of the basin. Second, the positive correlation between AGF max and the dimensionless parameters k Ibs1 , k Ibs2 , k Hλ and k Lλ , which is pointed out in Table 3, may not be inferred from visible inspection alone; thence the importance of quantitative statistical testing. Conclusion and future developments The investigations conducted so far are encouraging in that they allow the identification of dimensionless factors which display significant statistical correlations with peak spectral aggravation for a suitably sized source dataset. Qualitative and quantitative outputs are Fig. 3 - Scatterplots of peak spectral aggravation versus dimensionless parameters