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This change can be analysis by the torque of wring, the data test under wind-force of 5 grades is shown in Fig.3.
Such result needs more time -load data to satisfy process of data transformation for obtaining the dynamic performance of wring.
For accurately analysing the working load of hydraulic system in typical working conditions, the root mean square value is to transform the data from testing and integrates the mean value and standard deviation.
Choosing a set of load data from Table.1, the strength test is imposed to reel and the result shown in Table 2.
The critical load of reel is computed by data in Table.2 due to Eq.3, its value is 520.52 kN, which shows that the component will not damage after one million repeatedly load test.

The hydrogen reduction reaction kinetic parameters of different particle’ sizes Cu2O were calculated by DTA-TG-DTG data.
(4) Namely (5) Use TG data calculate α, rise temperature velocity β was 15℃·min-1, was obtained by TG and DTG data.
Reaction progression was defined as: n = 1.26I1/2 (6) By the DTA curve data, according to equation (6) the reaction progression n was can obtained.
Use α data, β data, data, n data and equation (5) the k was calculability obtained.
Fig. 3 DTA-TG-DTG curves of sample 1#~3# Using DTA-TG-DTG curves data and equation (2) calculated the different size the cuprous oxide hydrogen reduction reaction apparent activation energy E and frequency factors A.

This emission reduction potential optimization model puts forward the best pollutant emission reduction plan to satisfy the business enterprise decision making and guide the effective implementation of the refining chemical industry pollutant emission reduction task.
All kinds of input data, for the calculation of oil refining chemical industry pollutant emissions reduction potential model, have been shown in Table 1 and Table 2.
Table 1 Pollution control equipment parameters for refining and chemical industrial Pollutants Pollution Control Measures Removal Rate(%) Unit Processing Costs (104 t/104 yuan) Buiding Area (m³) SO2 Limestone Gypsum Wet Flue Gas Desulfurization (LGWFGD) 95 1000 500 Mobil Wet Flue Gas Cleaning System (MB-WFGCS) 90 1050 500 Belco Edv Wet Flue Gas Desulfurization (BEDV) 95 950 500 Wet Flue Gas Sulfuric Acid Process (WFGSAP) 97 850 400 THIOPAQ Biological Process (THIOPAQ-B) 97 1000 600 Ammonia Washing Method (AWM) 95 1000 500 Recycling Magnesium Oxide Method (RMOM) 95 900 500 NOx Selective Catalytic Reduction Method (SCR) 85 3336 500 Non Selective Catalytic Reduction(NSCR) 50 840 500 Table 2 Data for pollution reduction potential model of refining and chemical enterprises Pollutants Pollutant Source Industrial Emissions Standards (mg/m3) Wastegas Quantity (m3/h) Pollutant Concentration (mg/m3) SO2 Heating Furnace 850 335 1690 Industrial Boiler — 0.16 0 Catalytic Cracking
According to the above data, combined with the established optimization models and linear programming method, the maximum SO2 and NOx emission reductions of oil refining chemical enterprise were 4810.69 and 1573.04 tons, obtained from the computer.
(2) For Pollutant NOx, the reductions of SO2 is 1573.04 tons by optimization model calculation, the optimal emission reduction scheme is installing Selective Catalytic Reduction Method (SCR) on the Heating Furnace, which is the highest than related industrial emissions standards.

The temperature 1150°C was chosen on the basis of preliminary reduction experiments in the muffle furnace and according to the data of the thermodynamic analysis [11-12].
However, the iron reduction was incomplete.
For complete reduction of iron, it is needed to increase either temperature or time of reduction.
Thereby, only increase in reduction time is possible to perform the complete iron reduction.
Phase composition of ore after reduction (Fig. 2).

The data collection rate was automatically set by the controlling program supplied by SETARAM to store the maximum number of data points.
Successive reduction followed by carburization.
Reduction.
This would correspond to the complete reduction of WO3 to WO2 (f = 8.35), indicating that at relatively low temperatures reduction of WO2 to W start before WO3 is reduced before the reduction of WO2 to W takes place.
According to thermodynamic data [32, 33], decomposition of methane into carbon and hydrogen is possible above 823 K.

In order to make the system equation have the consistent results with test data, R.
Model Reduction.
From Eq.13, we can obtain the following equation: (14) So, the reduced dynamic stiffness matrix of satellite structure can be expressed as follows: (15) After the dynamic reduction, the model can be updated with measured response data.
The vibration test data is used to update its dynamic model.
Ewins, “finite element model updating using frequency response function data-1.

Data collection The secondary data including their energy use, energy generated and implemented energy efficiency improvement measures were collected from power plants case study.
Emission reductions due to the reduction in no-load losses only are claimed.
The calculation results for each measure are presented in terms of the GHG reduction as shown in Eq. 2.
Intensity of energy saving and emission reduction The results of ESI and ERI displayed the most effectiveness in the same measure of TF01.
To quantify the potential of energy saving and emission reduction, the secondary data of power plants case study were collected.

The paper presents the problem of vibration reduction in designed discrete mechanical systems.
The passive vibration reduction based on the synthesis method by using the Synteza application.
Entering the dynamical properties of the system searched By confirming the assumed data, the values of inertial and elastic parameters of the fixed branched system, presented in the figure, are obtained (fig.4).
The result of passive vibration reduction performed Conclusion The paper presents a passive vibration reduction based on the synthesis method by using the Synteza application.
Dzitkowski, Reduction vibration of mechanical systems, Applied Mechanics and Materials. 307 (2013) 257-260

Damage assessment of high-rise hybrid buildings structures based on monitoring data Monitoring data is the basis of this method.
The monitoring data here refer to are the real-time monitoring data in the process of earthquake.
In this paper, there are two sources of real-time monitoring data: first, the real-time monitoring data that be got when the structure meet the real earthquake; second, the monitoring data that be got from shaking table test.
Utilize monitoring data to amend the result of finite element.
However, using the incremental loading method, a series of monitoring data will be got if the monitoring data is from shaking table test.

With the anti-shear parameters reduction, the nonlinear strength reduction FEM model of slope turns to unstable status and the numerical non-convergence occurs simultaneously.
Efficient and accurate, the strength reduction FEM is feasible to examine slope stability and analyze slope movement patterns.
This can be determined either by statistical method, which analyses the correlation between the observed loads and deformation data, or deterministic method, which utilizes information on the loads, properties of the material, and physical laws governing the stress-strain relationship.
At that point, the limit reduction factor obtained based on c-φ reduction algorithm can be regarded as equal to stability factor obtained using limit equilibrium method[8], the method can be expressed as Eq. 2, in which the F is the reduction factor, also is equivalent to the safety factor.
[5] Szostak-Chrzanowski, A., Massiéara, M., Chrzanowski, A., Whitaker, C and Duffy, M., in: Verification of design parameters of large dams using deformation monitoring data-potentials and limitations[J].