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It indicates that the fatigue design by analysis for the piping should be based appropriately on the welded joint data.
The curves were constructed with reduction factors (RFs) of 20 on cycles and 2 on stress to the best-fit curve of test data.
After tests, test radial εa-N data were also converted into axial εa-N data by Eq. (1).
And then, the axial εa-N data were further delivered as cyclic Sa-N data by Langer's definition Sa=εa⋅E' (2) Probabilistic Modeling Random Cyclic Constitutions.
Typical probabilistic curves at C=50% are given in Fig. 7.The scattered test data has been well modelled.

Especially Fructus phyllanthus wine and the Rosa laevigata michx wine had scavenging effect on •OH as the same as VC and more reduction ability than VC.
If the absorbance was higher, the reduction ability was stronger. 3.
Fig.5 Scavenging activity of five fruit wine on DPPH· 3.2.5 Experimental result on reduction ability Reduction ability is measured by a sample which is a good electron donor for the index.
We applied Figure 6 and Figure 7 in order to make fruit wine reduction ability become clearer.
The order of reduction ability was as follows: Sour plum winereduction ability and polyphenol content had some positive correlation.

Fig. 2(a, b) show the Normal Probability plot and Pareto chart of the standardized effects for the hardness data having a confidence level of 95%.
Fig. 2 (c, d) show the main effects plot for the mean values of hardness (HB) data in terms of (SHT T0C), Cold work after SHT (CWASHT), Pre-aging Temperature (PA T0C), Pre-aging time (PA t h), Aging temperature (AT0C), Aging time (At h).
Fig.2 (e, f) show the interaction plot for the mean values of hardness (HB) data in terms of different combination of factors.
(2) (a) (b) (c) (d) (e) (f) Figure 2 Factorial and ANOVA Plots (main effect plot and interaction effect plot) (a, b) Normal Probability plot and Pareto chart of the standardized effects for the hardness data having a confidence level of 95%.
(e, f) Interaction plot for the mean values of hardness (HV) data.

The factors have been varied according to the data elicited from the literature review which shown that the most influential factor x1 is the value of the relative span of the section а/h0, which was varied at three levels: а = h0, 2h0 and 3h0.
Fig. 1 Patterns of strengthening the lower tensioned zones and support areas of the damaged r.c. beams of 3rd series with large (a), medium (b) and small (c) shear spans The results of processing the obtained test data of the first, third and fifth series, removal of the insignificant coefficients and re-calculation of the remaining coefficients enabled, with the use of COMPEX software developed under guidance of Professor V.A.
Due to reduction of plastic deformations the accumulation process of residual deformations in the support zone at stable level of low-cycle transverse loading fades gradually.
Application of the mathematical theory of planning, adopted plan and levels of changing design factors and external impact factors make it possible to apply a system approach to analyse the events and compare the obtained data. 2.
Owing to the adopted methodology new experimental data was obtained in order to essentially specify physical models reflecting behaviour of oblique sections of the span r.c. structures subject to high-level low-cycle repeated loading which resulted in description for the first time of the system impact of the shear span а/h0, concrete grade C, transverse reinforcement coefficient ρsw and level of repeated loading η on crack resistance, deformability and strength of the tested beam samples. 6.

A comparison of tested geometries displays that reduction in thickness tends to be uniform in the wall region and small fluctuation noticed near the tool retraction location.
In terms of geometry dimensions and thickness reduction.
Likewise, computer simulation data was investigated, as shown in the figure a, CNC code is run on 6060C milling machine for the Aluminum alloys (AA3003).
After that, computer simulation data is compared throughout the paper.
Influence of tool path on main strains, thickness reduction an forces in single point incremental forming process.

“Energy conservation and emission reduction”, “low carbon environment” have gradually become the only way to achieve sustainable development.
Hence the dimension and amount of data of energy indicator are quite large, the data of indicators should be reduced on the basis of existing researches, the architecture should be simplified and which provides foundation for subsequent mechanism research and process simulation of the system.
We can treat those as three data spaces, for example, in energy data space E1, the indicator dataset X（XÌ E1）is composed of many data points, the data point xi=(xi1,xi2 ,…xid)T ÎE1, each attribute of xi are numeric type, if the indicator dataset we acquired in the energy space contains N objects, then the dataset X can be denoted as a Nｘd matrix.
The final aim of this is to partition the indicator dataset acquired into p subsets Ck(k=1,2...p), of course, some of the objects may not belong to any of those partitions, then we refer to those objects as noise data points or bad data points, the union set of those partitions and noise is the dataset X, and there are no intersections among those partitions.
After preprocessing the indicator data of energy intensity as well as carbon intensity, we use sensitivity analysis to process data in each equivalence class, eliminate those indicators with lower impact, finally the flexible and robust architecture of the system is built.

The “—” means that the measured data achieves range extremum and cannot be used when the steel ball encounters the measuring point.
Table 5 Dynamic displacement peak responses of dams Working condition Measuring point d3 (mm) Reduction range (%) Average reduction range (%) Measuring point d6 (mm) Reduction range (%) Average reduction range (%) 3-11 -2.07 42.0 46.7 -1.32 44.7 45.9 B-3-11 -1.20 -0.73 3-12 -2.90 45.9 -1.78 47.2 B-3-12 -1.57 -0.94 3-13 -3.50 45.7 -2.00 45.0 B-3-13 -1.90 -1.10 3-14 -3.91 49.9 -2.23 41.7 B-3-14 -1.96 -1.30 3-15 -5.67 49.9 -2.63 51.0 B-3-15 -2.84 -1.29 Acceleration Responses.
Crack width reduction reached 25%~40%, and the angle of large-scale cracks on the top of the dam becomes narrow, while the span expands.
Its reduction can be up to 69.2%.
The average reduction is about 46%.

At 300ºC, the drain current of the cascode switch is 21.4% of its 25ºC value, which agrees well with the reduction of the 4H-SiC electron mobility with temperature.
This agrees well with the measured reduction in VJFET built-in potential.
Finally, the reduction in cascode transconductance with temperature follows that of the theoretical 4H-SiC electron mobility.
The cascode's specific on-state resistance is extracted from the data of Fig. 3 at Vds = 0.5 V, and is plotted as a function of temperature on the left axis of the graph of Fig. 4.
The cascode's gate-junction built-in potential variation with temperature is extracted from a linear regression of the data of Fig. 2, and plotted on the right axis of the graph of Fig. 6.

Catalytic reduction of MB.
The rate of the reduction process is monitored by measuring the change in absorbance from the initially observed peak at 664 nm.
Fig. 3 Catalytic effects on the reduction of MB (10-5 M).
Fig. 3c shows the catalytic role of raspberry-like gold nanoparticles in the catalytic reduction of MB in the presence of NaBH4.
All data suggest that raspberry-like gold nanoparticle is a promising candidate for catalytic applications when NaBH4 is used as the reducing agent.

Instead of slicing the model from STL data, this methodology direct slices of CAD models using a constant layer thickness in EUCLID-IS based CAD system.
The complexity of the internal and external shape of dies and molds requires a more direct method in conversion of CAD data to process planning instructions.
Direct slicing of CAD models without the intermediate .STL format is preferred because it helps keep the geometric and topological robustness that the original data have and no intermediate conversion process is required.
In order to minimize the inaccuracy, the tolerance parameter and chord height can be set to smaller values, but this would make the STL data very large.
The plasma-jet path data are generated from CAD data unlike conventional tool path data created from the STL data.