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Analytical and simulation results show a severe reduction in column axial resistance in the presence of localized flange loss.
An experimental set up was devised by Zeinoddini et al[2]. to provide benchmark data on the response of axially loaded steel tubes subjected to lateral dynamic impact loads.
The models were thoroughly validated using experimental data reported by Zeinoddiniet al[2]. on steel tubular members that were laterally impacted while subjected to a sustained axial load.
The analytical models were developed using a variational scheme and their results were compared to data from detailed finite element models that were validated through comparisons with experimental results.

The data for stability of these membranes are not available and these are not tested in actual fuel cell.
Smitha et al. (2005) pointed out that the hydrogen permeation data and diffusion parameters at elevated temperatures are important for the selection of new materials for fuel cells operating at low temperatures [4].
The fuel cell performance data for only few phosphonated ionomer membranes have been reported in literature.
The data are also reported for Nafion® 117 for comparison.
These data show a reasonable performance of the phosphonated polymer membranes as compared to Nafion® 117 at 25°C.

However, there are some problems such as huge amount of data and high correlation between bands.
Hence, full data dimensionality can be logically reduced.
These data include 145 by 145 pixels and 220 bands.
The full data space is decomposed into seven subspaces.
Classification methods for remotely sensed data [M].

The measured section curve Lm at the position h is extracted from measurement model of blade which is constructed by large amounts of measured data.
The measured data are obtained by non-contact laser displacement sensor with micro-level precision.
Data processing technology such as noise reduction, smoothing as well as data reduction should be firstly performed before reconstruction of blade model.
The Oxy in Fig. 4 is the datum plane.

The effect of corrosion is simulated by means of a progressive reduction of bond-slip relationship from confined to unconfined configuration.
The attack penetration can be evaluated from the mass loss, assuming a homogenous cross section reduction.
In absence of experimental data, c it can be assumed equal to the maximum bond strength of smooth reinforcing bars.
This determines a pressure reduction of the oxides as well as to the stress relaxation of concrete in time.
Gilbert, Modeling steel concrete bond strength reduction due to corrosion, Aci Str.

Control of prototype of linear position actuator SMA On the basis of the collected experiment data [1] it was concluded that SMA wires are nonlinear and time variant.
There is a shortage of data on this phenomenon in the literature.
According to Fig. 3 output data is not constant as in the fuzzy logic 1 type but they constitute a set of numbers from a definite interval.
The controller RimpC1 data are as follows: • 2 inputs: set value SV (symmetric distribution with 2 mm - 6 intervals) and error e, • 1 output: manipulated variable MV (value of current density in an impulse), • error fuzzyfication (Fig. 4), Fig. 4.
Finding the exact values of G100% and Gwyl, from the possible set constitutes this reduction fuzzy logic set 2 type to 1 type.

In recent years, financial evaluation was blamed for one-dimensional approach in terms of recording data in previous periods.
Continuing the activity on the same parameters will lead to a significant decrease in profit, as seen from the accounting data presented above.
Expenses reduction.
Target 100% Actual 60% Fig.3 Balanced Scorecard of the Omega company Given all the above data, the Balanced Scorecard model for the Omega company is shown into Figure 3.
Thus Balanced Scorecard is a performance measurement system that balances the historical accuracy and integrity of financial data with future performance factors, while enabling the organization to successfully implement the strategy.

Little further gain reduction occured between 400°C and 500°C.
The value of α is based on a fit to experimental data [11] that agrees well with the Callaway model [12] for the thermal conductivity of a solid.
The value of κ0 was obtained by fitting this curve to recently published data for nitrogen-doped 4H-SiC substrates [1], similar to the material used for this work.
This data is also in good agreement with the Callaway model.
We extracted the junction temperature of a 3 µm x 10 µm device and fitted this data with a theoretical calculation using a simple thermal model.

Authors also present different data on carrier lifetime recovery upon defect annealing [2,3,5-7].
Thus, analysis of the above data shows that there are large scatter in the characteristics of defect which arises in Si and solar cells under light action.
In this paper the new data on the defects, appearing under illumination with the light with a spectral composition close to solar radiation, in silicon with a high content of boron and oxygen are presented.
The data obtained are shown in Fig. 3.
The data obtained also suggest that by the action of light or heat treatment a recombination-enhanced diffusion of oxygen or oxygen-containing defects takes place according to the mechanism proposed in [32].

Then the whole Rankine cycle 4 basic processes are realized. 3.3 Data reduction and analysis The whole ORC systems was taken for reaching the steady condition when all the sensors do not change.
The test data are recordered by data acquisition systems, in which the sample rate is 0.2HZ.
To more clear analyze the thermodynamic process, the data reduction are expressed by the list equation: 1）The total quantity of engine waste heat ,Q Q=Qw+Qe (1) 2）The working fluid absorb heat quantity, Q: (2) 3）The work expander do ,W： (3) 4） Isentropic efficiency of expander ： (4) 5) Heat rejection for the condenser, Qc： (5) 6) Generating efficiency of ORC (6) 7) Net generate efficiency of ORC systems (7) In the above equation, the Qw,Qe are the heat quantity of coolant and
From the ORC systems beginning to generate elecrity to the steady condition, the test data recording time is about 2 hours and 24minutes.