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Numerical models and simulation methodology are first validated by the comparison to experimental data.
The reduction factors of steel and bolts at elevated temperature are from EC3, as shown in Fig.10.
Fig.6 shows that the development of axial force in beam agree well with experimental data.
Comparison Between Experimental Data and Numerical Results: Axial Force & Beam Mid-span Deflection Fig. 7.
Comparison Between Experimental Data and Numerical Results: Deformation of Connection Region Parametric Study Load Ratio Three load ratios, 0.25, 0.5, 0.75, are adopted to determine their effects on the the failure temperature of the connection and the behavior of the beam.

It is normal practice to assess the accuracy of numerical results by comparing the predicted values to corresponding experimental data.
Progress has been made in the frame of project ADVISE [4] in developing an integrated methodology for comparing FE simulations to experimental data, including the use of reduced or decomposed data.
Different shape descriptors (Zernike moment, Discrete Fourier transform (DFT), Tchebichef features, etc.) can be used to reduce the amount of the data in order to simplify the data comparison.
The successful comparison of data is based on both conventional point-to-point techniques and the more advanced image decomposition approaches.
Nevertheless, the ‘shape descriptor’ comparison approach seems to be a powerful tool with the main advantage of a radical data reduction, therefore by its further development it is expected to become a reliable tool for integrated comparisons between experimental and simulation results of large scale complex structures, subjected to highly non-linear dynamic events.

Through the tensile test, use ANSYS Workbench to simulate the process of tensile measurement and compare the experimental data.
It has such good advantages[1-4] as high strength, high hardness, high fatigue strength as well as low density, light weight, shock absorption and good noise reduction, etc.
Tensile Test Results and Analysis The Influence of Austempering Parameters on Tensile Strength and Elongation[5-7] According to the experimental data of tensile test (shown in Table 2), establish the graph of relations between the austenitizing time, austempering temperature and austempering time and the tensile strength and elongation in the Origin and analyze the change rule between them.
Analysis of the above experimental data shows that when the austempering parameters are respectively 900℃, 120min, 250℃ and 180min, the tensile strength is maximum (1467Mpa); when the tensile strength is minimum (787Mpa), the corresponding austempering parameters respectively are 900℃ and 120min, 400℃ and 180min.
That’s because cast iron is brittle material, the percentage of area reduction is small.

The preliminary analysis of a survey data collected from middle school students in Taiwan.
Kiesler et al. (1984) argue that the reduced social cues leads to a reduction in the influence of social norms and constraints and thus leads to antinormative and deregulated behavior.
In this paper, the statistical package SPSS 17.00 is used to analyze data.
The preliminary analysis of a survey data collected from middle school students in Taiwan.
Black: Multivariate data analysis, (New Jersey, Prentice Hall, New York 2007)

Experimental details The material studied was made by direct reduction of extra pure quartz and carbon.
After tapping from the reduction furnace, the material was cooled down, etched and cleaned with DI water.
Compared to literature data, the EBIC contrast values of dislocations at 100K are quite high - we cannot exclude that in our measurements the dark spot visible in the map is due to more than one dislocation.
Summary In this work we reported a first study of solar grade silicon obtained directly by carbothermic reduction of very pure quartz and carbon.
The data and information obtained by these analysis are used for an optimisation of a solar cell process for this material which is currently in progress.

Preparing sialon tailings transition to inner lining material based on carbon-thermal reduction and nitridation (CRN).
According to the comparison of data measured and simulation results, the temperatures are similar.
The simulation results are 200K higher than the measured data.
Compared with the actual mechanical data given by manufacturers, the thermal stress field of the new refractory under theoretical conditions of is obtained.
The data in theoretical conditions is about 15% of the maximum stress field of the material.

The computer software of the tensile test is opened and tensile test data is input.
Before stretching the tension and displacement data of software are cleared off.Opening the tensile testing machine, even loaded is applied, after tensile stretch finished, the data is recorded and a new tensile specimens is placed, before each tensile loading ,It is needed that the displacement and tension value of the software is cleared off in order to avoid artificially errors.
Tensile data is shown in Table 2.
, followed by the upper flange and lower flange is smallest.Flange elongation percentage and reduction of cross section area is bigger than that of the web .
Reduction of cross section area of upper flange and that of lower flange has slightly difference.In the plastic deformation of H-beam, the web deformation is much greater than that of the flange.

The advantages of this method are in the obtaining of both qualitative and quantitative data on defect behavior in materials.
The dominant change in values of S-parameter as a function of thickness reduction is shown in figure (3).
In such figure, the S- parameter increases with increasing of thickness reduction of the sample.
The defect density is increasing exponentially with increasing of thickness reduction.
Above 4% of thickness reduction, the Sparameter values kept approximately constant.

These include descriptive statistics, data transformations and testing.
To predict the financial time series data a regression model is used with disturbances following an ARCH type process.
Tentative identification of an ARIMA time series model is done through analysis of actual historical data.
The fitted vs. actual VUB bond price vales for the validation data set are graphically displayed in Fig. 1 left.
[9] Data on http://www.vubam.sk/Default.aspx?

From the data provided corrosion currents were calculated.
The cell was connected to a potentiostat/galvanostat type Princeton Applied Research Model 173 provided with a computer interface for the data acquisition.
The data obtained from Fig. 3 and 4 confirm again the efficiency of all three organic inhibitors and their behavior previously discussed.
Conclusions Zinc corrosion in alkaline media is controlled by the cathodic reaction of water reduction.
One of the reduction products of this process is hydrogen gas and therefore, the ability to control the parasitic reaction of water reduction is dependent on the ability to reduce the cathodic reaction.