Sentence examples for plateaus length from inspiring English sources
It can be concluded that the PCI inclined plateaus reported in the literature [46] for the Al Mg alloys, is, in addition to kinetic factors, due to the large solubility range of the γ phase, short plateaus' length, and the small differences between the last three plateau pressures.
It is shown that the PCIs sloping reported in the literature for the Al Mg alloys is, in addition to kinetic factors, due to the large solubility of the γ phase, to short plateaus' length, and to the small differences between plateau pressures.
In addition, these comparisons justify reductions in the "plateau length," Lp, used in the AISC and AASHTO flexural resistance calculations, as well as in the stress limit FL in AISC and Fyr in AASHTO corresponding to the applicability of the theoretical elastic LTB equations.
Unlike the widely used ECCS model, which has a constant strain hardening slope, the proposed models, reflecting the collected test data, have a yield plateau length and strain hardening characteristics which vary with the ratio of yield to ultimate stress (i.e. with material grade).
Yield plateau length of reinforcing steel bar.
Yield plateau length of a splice.
The average plateau length observed in this experiment was around 20 nm, which corresponds to a considerable extension of the PEG molecule.
As seen in the distribution of plateau length for WP and the model (Figure 9), a statistical agreement for all three war scenarios is clear.
In this case, the plateau length in terms of the electrode displacement was in average larger (from 1 to 1.5 nm) than that observed for the high-G plateaus before discussed.
Plateau length, n ≥ 6, is considered as good support for any partition.
In FLOCK, after running five times, high values of plateau lengths (n ≥ 6) were obtained for K = 2, whereas very small plateau lengths (2 ≥ n ≤ 3) were obtained for K = 3, and no plateau was shown for K > 3. So, based on this support, i.e. high plateau length (i.e. n ≥ 6), we took K = 2 (hereafter Clusters 1 and 2) as the number of genetic clusters representing the variation.
