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The response curve of the finite element analysis in Fig. 4(a) is compared with the envelope of the experimental cyclic response data.
Although the R-1 column experiences no major numerical difficulty, it fails to predict the shear strength reduction that occurred in the experimental test.
However, still convergence problems developed right after a small strength reduction.

In order to record the circuit equations, the following parameters are defined: u (t): Duty Cycle N: Reduction Ratio θ (t): Throttle Angle (rads) i (t): Armature Current (A) VBat: Supply Voltage (V) Vb(t):Back EMF (V) Ra: Armature Resistance (Ω) L: Armature Inductance (H) T (t): Motor Torque
ω (t): Throttle Angular Velocity (rad/s) The inertia of throttle plate and reduction gears are ignored because they are far smaller than motor rotor inertia.
[4] Ibrahim Haskara, Umit Ozgiiner, Vadim Utkin: Variable structure control for uncertain sampled data systems.

The number of bacteria at the initial stage and after 24h incubation was measured, and the reduction rates were calculated.
These data indicate that the silver ions show a suppressing mechanism for the growth of Staphylococcus aureus and Escherichia coli, so, the disinfection ratios for Staphylococcus aureus and Escherichia coli are nearly 100%.
Antibacterial test results on S. aureus and E. coli Bacteria Case Start After 24h Reduction rate of bacteria(%) S. aureus Blank 1.3×105 5.9×106 - (ATCC 6538) Al/Ag=1 1.3×105 <5 99.9 E. coli Blank 1.3×105 6.5×106 - (ATCC 25922) Al/Ag=1 1.3×105 <5 99.9 Fig. 8.

Fretting wear usually causes the reduction of tube thickness, which might cause the contamination of the coolant by radioactivity [3].
After the tests, the change in the wear scar of the tube was recorded by using surface profile meter and these data was used for estimating approximate wear volume.
The wear depth was decreased due to the reduction the amount of the amount of the relative slip between tube and grid.

The reduction of pure iron freezing point by element is in direct proportion with the concentration of the element.
In experiment, the migration of Si can also decrease the melting point of pure iron, and the melting of pure iron plays a vital role in the reduction of molten steel, so it’s important to study the influence of boron on iron base melting.
And the content of boron is 1.34%, which is close to the data of Fig. 1.

An efficient solution for this problem is to reduce the sending and receiving of irrelevant data, and only data that is necessary for the entities are transmitted to them.
Interest management has provided ability to filter irrelevant data in this way.
There are four main parts which are responsible for interest management in HLA standards[1]: DM(Declare Management), DDM(Data Distribution Management), OwnM(Ownership Management) and SURR(Smart Update Rate Reduction).
Among them, DM provides Class-based data filter scheme, DDM refines it based on value at instance level, OwnM provides the ability to change the producer of the value, and SURR adjust the rate of data updates.
Once the intersection of P and S1 is none zero, a connection will be built and the data of P will be transferred to S1 when the data is updated.

Input data.
To reduce the effort for data collection and calculation the model focuses only on selected input data, which are necessary to assess the format-flexibility in an economic way.
The input data can be classified into general and machine specific data.
The general input data is shown in Table 1 and the machine-specific input data in Table 2, where MU stands for monetary unit, e.g. €.
Tab. 1: General input data.

Weber (2012) used gas consumption and production data combined with economic data to estimate how a substantial increase in the value of gas consumption and production from 1999 to 2008 affected salary income in the country[27].
Data Collection and Analysis This study employs panel data regression model to examine the relationship of natural gas consumption with sustainable development in China.
Then, we have the panel data sets examined by FE regression model.
Then, based on the unbalanced panel data sets consisting of 15 places in China over 2003-2012, FE regression model is adopted, and the results are shown in Table 6.
Analysis of production data in shale gas reservoirs: rigorous corrections for fluid and flow properties.

Rietveld refinement using XRD data was used to determine the amount of interlayer mixing vary as a function of temperature.
Therefore, our intention is to achieve the aims such as reduction of nickel content through substitution of Mn about 10 %.
Lattice parameter obtained by least squares refinement of XRD data are shown in Fig. 2.
Therefore, the reasonable thermal parameters Uiso obtained from LiCoO2were used as a semi quantitative measure of interlayer mixing data of layered rock salt materialsLiNi0.7Mn0.1Co0.2O2.The refinement data on LiCoO2 are summarized in Table 1.
The calculated and difference plots of XRD data of LiNi0.7Mn0.1Co0.2O2 that prepared at 900°C are shown in Fig. 3.

Finally, used to the field datum from Luo’yang Molybdenum Co., Ltd., modeling and stress analyzing are finished by the software of MIDAS GTS.
In this paper, Wireframe model is directly imported to terrain data generator which is provided by MIDAS / GTS, and then generates the surface model of open-pit steps status quo, as shown in Figure 2; the solid model of cavities can be converted to common and standard STEP format through the INVENTOR of AUTODESK, and can be imported into MIDAS / GTS.
Import CAD status map which caused by the poly-line to terrain data builder to generate the surface status quo NURBS face; and then use surface status quo NURBS face to split the rock box model, retain only the lower part of the NURBS face which meet the reality of the mining area, as shown in Figure 2.
The properties of rock material According to the litho logical characteristics in Molybdenum ore open-pit mining site and with reference to the rock mechanics standards and relative experience, the size of the reduction factor of selected rock is as follows: Modulus of elasticity: Poisson's ratio: Angle of internal friction: The compressive and shear strength: Tensile strength: Table 1.
Rock mechanics parameters used in Theoretical and numerical calculations Rock Density (g/cm3) Compressive strength (MPa) Modulus of elasticity (GPa) Poisson's ratio Tensile strength (MPa) Shear strength (MPa) Internal friction angle (o) Marble 3.06 221.55 9.95 0.22 1.62 33.96 27.97 Silicon ash ShiJiao rock 3.19 160.0 9.96 0.21 2.24 32.5 28.08 Skarn 3.43 159.85 10.23 0.21 2.66 29.94 27.98 Average 3.23 180.47 10.05 0.21 2.17 32.13 28.02 According to the experimental report and the reduction factor, rock mechanics parameters used in theoretical and numerical calculations is deduced, as shown in Table 1.