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They also indicate the reserves of coke consumption reduction and output enhancement, which might be implemented by optimal choice of a blast furnace operating mode and which enable the reasonable choice of the operating mode of a blast furnace based on the potential opportunities for increasing the output, minimizing coke consumption for the specified coke quality and the specified requirements to the furnace thermal state.
Analysis of dependencies of various modes of controlling a blast-furnace process Due to the complexity of controlling operating modes of a blast furnace, it is difficult to identify regularities in the change of parameters of a blast-furnace process using statistical data.
(2) Where Pi is iron productivity [MT/day]; Rc is coke rate [kg/MT]; Wsteam is steam consumption for humidification; M10 is coke quality (abrasion capacity) [%]; Si is content of silicon in cast iron [%]; h is operating mode indicator; aRc0, aRc1, aPi0, aPi1, a0, a1, aSik0, aSi1 are mean empirical ratios which were achieved during the processing of statistics data for the period between April 12, 2014 and February 7, 2016, except for downtime periods.
Areas of Pareto dependency of the consumption of coke on the quality of coke (M10) The dependencies (2) are built while processing statistical data for the period from 12.04.2014 until 07.02.2016 except for down time periods.
Use Thermochem.Data Proc.

A nonlinear finite element model was established using ANSYS with right material parameters for prestressed concrete box girder with steel plate and concrete composite strengthening (SPCCS).A comparison was made between analysis results and function formula data, and results show that the numerical result s of nonlinear static analysis are in good agreement with the formula results.
Refer to Tab. 4 for some of the measured horizontal distribution data.
Here a comparative analysis is applied to the effects of above two different strengthening methods in load test, and refer to Tab. 5 for part of the test data.
Secondly, the rigidity, strength and horizontal loading distribution as well as dynamic performance of the bridge are evaluated with the numerical analysis results and load test data of the bridge.
All the data show that the strengthening is effective.

Using vertical optical program to measure the 4 calibration point in each collar, several times measurement and averaging, record the data.
Table 1.1 Equiponderance test plan Group Magnetic field frequency f(Hz) Magnetic treatment time t(s) U(V)/I(A)/P (W) W（J） 1 QK 300 300/3.33/1000 300000 2 2K 455 220/3/660 300000 3 200 1715 25/7/175 300000 1.2 The analysis of test data Table 1.2 for the experimental data, the unit is , the column of variation mean the amount of diameter change in the measuring points pre and post the magnetic treatment.
Table 1.2 Equiponderance contrast test data (unit: ) Group Specimens Content LocationⅠ LocationⅡ LocationⅢ LocationⅣ Average variation Average variation of group 1 1 pre treatment 3.2 3.5 2.8 3.8 3.2 3.0125 Post treatment 0 0.1 0.2 0.2 variation 3.2 3.4 2.6 3.6 2 pre treatment 3.8 4.2 4.2 3.8 2.825 Post treatment 0.2 0.8 1.2 2.5 variation 3.6 3.4 3 1.3 2 3 pre treatment 2 3.8 3.6 4.2 2.2 2.225 Post treatment 1 1.1 1.5 1.2 variation 1 2.7 2.1 3 4 pre treatment 4.7 6.3 5.8 7 2.25 Post treatment 3.5 3.5 3.6 4.2 variation 1.2 2.8 2.2 2.8 3 5 pre treatment 3.9 2.9 3.5 3 0.9 1.35 Post treatment 3.1 2.5 2.2 1.9 variation 0.8 0.4 1.3 1.1 6 pre treatment 2.9 2.8 3 4.8 1.8 Post treatment 1.2 1.2 2 1.9 variation 1.7 1.6 1 2.9 Average changes curve of individual and each group collars' diameter before and after magnetic processing as shown in figure 1.3 and figure 1.4.
The difference between effects of different frequency electromagnetic pulse destressing Integrate the equiponderance contrast test data,from the table 1.2 can draw the conclusion that under equiponderance condition, the diameter size of the specimen after the low frequency pulse magnetic field, intermediate frequency pulse magnetic treatment, has different reduction.

Results and discussion Crystalline phase of the two kinds of sludge is investigated using a XRD and the data is shown in fig.1.
XRD data confirms that the crystalline phase of two samples is different.
Fig. 3 X-ray diffraction patterns of SiC powders produced (a) at 1350℃ and (b) at 1600℃ Scanning electron microscopy data shows the shape and size of the β-SiC powders produced from heat treated temperature at 1350℃ and 1600℃ (Fig. 4).
In case of that the heat treatment temperature of sample is increased from 1350℃ to 1600℃, the SEM data shows the particle size is increased with heat treatment temperature.
With increasing heat treatment temperature, SEM data shows the particle size is increased.

Through comparing the data of experiments, initial stresses’ influence on stress peak of 2 times compressive specimens is analyzed and the calculating formula of peak stress is proposed considering the pre-compression ratio, aiming at providing experimental dependences for strengthening design.
At present, available research datum are that of CFRP confined un-pre-compressive concrete performance [2-5].
The test data collection records are seen in Fig. 2.
According to the test data, drawing the single CFRP constraint concrete prism body peak stress regression curve, and the correlation coefficient is 0.942, the variance of 1.605.
-reduction coefficient relevant with the cross-section shape： (3) where：-the length of rectangular section; -corner circle radius.

Comparison of the model predictions with the measured data for Young's modulus is presented.
Nanopowder of aluminium oxide allowed for a reduction of porosity to less than 2%.
For comparison, the experimental data for Young’s modulus was taken from Table 2 for the case of the micro size powder of Al2O3.
In this case a good agreement with the experimental data is obtained.
Young’s modulus furnished by the present model as compared with the experimental data and Reuss and Voigt approximations Table 4.

The data for thiophene have been overtaken from J.
Data [19].
The data for Ce2O2S and La2O2S have been overtaken from other sources [6,14-16].
Knacke, Thermochemical data of pure substances. 3rd ed., Weinheim: VCH; 1995
Data (1995) 1351-1376

Only computation methods are applicable for prediction of the effects of proposed actions for noise reduction.
It is important to stress that noise mapping has statistical nature, and it requires acquisition of data in statistically meaningful amounts and periods.
The statistical analysis of the differences between the experimental data and numerical predictions of the A-weighted noise levels is shown in the Table 2.
This point is positioned between houses that were not modeled, so the observed smaller values of experimental data may be attributed to the insufficient description of the surroundings used for calculations.
In order to compare estimated noise levels with the experimental data, the measurements of noise were taken at 10 points near the overpass selected with the aim to represent the structure of the noise field that was studied.

Comprehensive disaster prevention and mitigation system is reflected in two aspects, one is to conduct a comprehensive plan to natural disasters and man-made disasters, primary and secondary disasters, and the other one is the disaster relief and reduction measures and other measures to co-ordinate arrangements to reflect the comprehensive strategy.
Since the 1990s, many scholars, such as CHEN Shao-fu, had proposed the basic model of comprehensive disaster mitigation plan which includes the investigation of disaster, disaster prediction, disaster risk zoning, comprehensive disaster reduction objectives, comprehensive disaster planning measures, and cost-benefit analysis [3]; Lei Jin put forward the problems about standards for editing the planning[4].
However, there are several limitations in drawing up the regional planning: basic data about national survey, mapping, meteorology, seismology, hydrology and environment is not enough because of system of department in county and scare economic resources.
In the terms of the current status of disaster planning methods, combined with Tanghai County’s practice of comprehensive disaster mitigation planning, county-based planning of comprehensive disaster prevention and reduction should include the following basic components: Survey and assessment of disaster risks.
Study of city comprehensive disaster reduction planning models[J].

The solution of the problem of optimizing the trajectory of the tool plays an important role mainly in the mass production due to the reduction of time [3-7].
Depending on, the purpose of the research is the reduction of the tool path and time processing of PCB (punched circuit boards) [13, 14].
Parameter Value Population Size 200 Crossover Function Partially Matched Crossover Mutation Function Reciprocal Exchange Elite count 2 Crossover Fraction 0.8 Mutation Fraction 0.08 The Machining data and coordinates of points to be machined are entered to the program.
Reduction in machining time and distance.
Conditions Machining time (sec) Reduction in time (sec) %Reduction in time %Reduction in distance Using random Selection 2911.76 947.40 32.55 % 53.98% Using genetic algorithm 1964.10 XI.