In the matter of the difference between the growth rate at the two crack ends, it increases (i.e., the crack tip growth rates ratio (d a /d N ) 2 /(d a /d N ) 1 decreases) with the drop in the initial projected short-branch length and in the initial branch angle, not observing a clear trend with the intensity of fatigue (SIF range).
According to this figure, the stiffness curves obtained with the standard fatigue simulation show a decreasing trend due to the gradual degradation of the mechanical material properties as the number of cycles increases before a consistent decrease of stiffness due to the sudden degradation.
On the contrary, for the frozen state the values of both the properties show an increasing trend as the temperature decreases.
Obviously, under the circular economy principle, focusing on waste recycling, the amounts of reused industrial waste indicated an increasing trend over the past decade, reaching an industrial waste reuse and recycling rate of over 80%.
Thereafter, the reported amounts showed a decreasing trend from 2019.
The third step represents the equilibrium stage in which the removal of the adsorbate becomes almost insignificant, due to the exhaustion of adsorption active sites.
However, the CTOD-R curves show a decreasing trend in fracture toughness with the increase in the hydrogen charging time.
A decreasing trend is visible, i.e., the BV/TV ratio seems to decrease with the increase of the scale factor ( Figure 3 ).
In the case of both dry and lubricated conditions, a clear trend was found of a reduction of the coefficient of friction with nominal pressure.
As the temperature decreased, S values of the five modified asphalts increased; however, the creep rate (M) exhibited a decreasing trend.
During annealing at a temperature of 600 °C, a decreasing trend in the function of current intensity from time is noticeable.
There is an increasing trend in the obtained results regarding the bricks that have a content of marble powder of up to a 25%.
However, even with such small volumes, the differences between the extrusions of the three different cements were clearly significant.
For increasing stress, the frequency has an increasing trend.
Currently, we can observe an interesting trend in the strategy of using by-products of the processing industry [ 29 , 30 ].
For some materials, it may be significant to increase not only the length of the melt pool, but also its depth—as, for example, it turned out to be for a titanium alloy.
For DL-125, a slight trend could be obtained for a decreased W 2 as ∆ offset increases due to the longer cooling time between the laser energy inputs.
For the dual-laser processing with offset distances between 1 mm and 4 mm, the results show a significant trend to a higher microhardness, with values up to 471 HV0.1 for DL-125 and DL-200.
In the present study, all the R 2 characteristics were near to 1, implying that the data and models generated were incredibly significant. 3.4.2.
On the other hand, it is not possible to conclude what the effect of nitrogen gas on the crystallite size of the nitrogenous phases is because its size does not present a clear trend.
The data depict the aforementioned decrease in total surface area and volume; however, the same data also depict an interesting trend regarding the porous evolution of these samples.
It is easy to notice that when considering the samples with deformation coefficient λ equal to 1.33, the length of the elastic deformation region was estimated to be 4 times longer in comparison to the deformation coefficient λ equal to 1.1, which is experimental evidence that the extent of the elastic deformation region is fully related and dependable on the shape of the applied diameter reduction and die geometry, and the estimated differences were quite significant.
Since the price variations per kg of the product are quite significant, the associated costs with ILs, DESs synthesized from raw materials are presented individually.
On the other hand, the crystallites in the Al layers are larger, i.e., 98 ± 8 nm, while the microstrain is almost insignificant, i.e., 0.04 ± 0.01%.
In recent years, machine learning has become a significant trend.