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Through general examination, special detection and bearing capacity calculation and analysis, we make a comprehensive evaluation on the bearing capacity and work state, which provides information and data detailed reference to repair.
According to the on-site inspection respectively in the cross section reduction index gives the evaluation, calculated member section damage evaluation value R, shown in Table 4.
Table 4 Comprehensive assessment of damage to the member section table test index evaluation scale value weight material weathered 2(weakly weathered) 0.10 carbonize 4(poor condition) 0.35 physical and chemical damage 4(poor condition) 0.55 comprehensive evaluation value of member section calculation of damage R =2×0.1+4×0.35+4×0.55=3.8 According to the comprehensive evaluation section damage value R, the cross section reduction coefficient is 0.914 b.
According to the field test situation, concrete spalling caused several significant corrosion of reinforced concrete, steel leakage phenomenon, reinforced the section loss within 10%,therefore, reinforced cross-section reduction factorξs =0.80. 3.2 Section Strength Calculation According to the evaluation standard, according to the included and not included in the calculation, deterioration, reduction, deriving a truss beam structure with positive sectional resistance effects and a combination of the most unfavorable load effect value comparison is shown in Table 5.
Table 5 Truss structure normal section strength calculation condition up truss beam web members Truss beam composite effect (kN) resistance (kN) composite effect (kN) resistance (kN) composite effect (kN) resistance (kN) regardless of is checked, deterioration and reduction factor -260.1 884.3 137.3 126.6 86.6 126.6 included in the check computation, deterioration and reduction factor -260.1 792.1 137.3 90.4 86.6 90.4 From Table 5：Included in the calculations, deterioration, reduction, web members tension capacity is less than the value of the combined effects of the most unfavorable load, does not meet the requirements.

Fast data transmission put forward high requirements on network content matching (NCM).
As the I-DFAs are equivalent to NFA states, if the is too large, it will result in sharp reduction in processing rate.
STT gets the transfer results according to the input data, Inner Transfer will be send to the State Combine model directly and the External Transfer will be send to TSJ.
Experimental data is selected from snort_24, snort_31, bro217 and dotstar_300.
(3) States Reduction For different regex expression set, States Reduction performance of DC-DFA is validated.

The highly Cube-oriented sheets were cold-rolled to various reductions up to 90%.  
In this study, the highly Cube-oriented Ni sheets were cold-rolled to various reductions, in order to clarify the stability of Cube orientation during rolling in such a polycrystalline Cube materials.
Firstly, the sheet 2 mm thick, 60 mm wide and 200 mm long was rolled by 50% reduction in thickness in one pass at room temperature, which is considered as the 1st ARB cycle.
Texture was analyzed by the orientation mapping data of EBSD.
The Cube-oriented sheets were cold-rolled by various reductions in thickness, and the orientation of the cold-rolled sheets was investigated by FE-SEM EBSD analysis.

The simulation results show good agreement with the measured temperature data.
Simulation Units and Data Processing Two air cooling units and a descaling unit are calculated before the BD rolling process.
Simulation Results and Measured Data BD Rolling Process Deformation results of workpiece in BD rolling process are shown in Fig. 3.
It is shown that the simulation results of the temperature and structure fit well with the measured data.
Acknowledgement The author thanks Livermore Software Technology Corp. for providing the demonstration license of LS-DYNA and Laiwu Iron & Steel Group Ltd. for providing valuable data.

A large amount of historical data under the corresponding measurement conditions is required for network training before the data correction.
The data correction process is illustrated in Figure 1.
During the data correction conducted at the monitoring station unit, whether or not the data are properly prepared should be judged first because the stable system is a prerequisite for data correction.
The monitoring data sets include flow velocity of cross-section perpendicular at different points, totaling five data by one propeller flow velocity meter sensor.
The neutral network data correction process Figure 2.

The preset values are used in level-1 control equipment (Switching over timing of preset values are determined by level-1 control equipment), including centering preset data, coil car preset data, POR (pay off reels) preset data, welding condition, entry loop tension, mill ASD preset data, sleeve preset data, inspection preset data, weight preset data, and band preset data.
In this calculation, reduction schedule is not be changed for other stands.
Secondly, storing actual data into setup data table is finished.
The received data (TCM actual data) are stored into SMLDT of the coil that exists under last WPD before mills.
And then the calculation of adaptive coefficient and feeding data back can be achieved by given actual data.

The denser the arrangement of the equal-width bars, the better the friction reduction effect was.
Wear losses and wear rates of micro-dimple samples and smooth part Specimen Average quality before wear [g] Average quality after wear [g] Weight loss [g] Wear rate T-0 1.5147 1.5130 0.0017 11.22% D-1 1.5552 1.5537 0.0015 9.66% D-2 1.5609 1.5596 0.0013 8.33% D-3 1.5167 1.5155 0.0012 7.91% E-1 1.5622 1.5610 0.0012 7.68% E-2 1.5143 1.5131 0.0012 7.93% E-3 1.5202 1.5188 0.0014 9.21% G-1 1.5565 1.5557 0.0008 5.14% G-2 1.5596 1.5586 0.0010 6.41% G-3 1.5577 1.5566 0.0011 7.06% According to the data in Table1, the friction reduction effect of specimens with textured morphologies is better than that of the specimen with an unprocessed texture.
The circular friction reduction effect is in the order of D-3 (ϕ=200 μm) >D-2 (ϕ=150 μm) >D-1 (ϕ=100 μm).
The friction reduction effect is in the order of E-1 (θ=0°)> E-2 (θ=45°)>E-3 (θ=90°).
The friction reduction effect is in the following order:D-3 (ϕ=200 μm)>D-2 (ϕ=150 μm) >D-1 (ϕ=100 μm); (2) For elliptical micro-dimples, the vertical arrangement of the ellipses provides the maximum bearing capacity and best friction reduction effect.

The scenarios are generated using the forecasted data, mean and standard deviation of the forecast error at every time stage and lie within a certain known probabilistic confidence interval.
The sampling of random processes results in scenarios, which represent the future realizations of the uncertainties and are generated using the forecast data, mean and standard deviation of the forecast error which cover the 90% probabilistic confidence interval.
Assume that S denotes the scenarios in the initial set with a probability distribution P, denotes dimensional stochastic data process with parameter set .
The optimal choice of J for scenario reduction is given by the solution of the optimal reduction problem: (3) Two main algorithms are mainly used in scenario reduction: backward reduction algorithm and forward selection algorithm [6].
The numbers of step of shift operator is decided between several numerical data based on a certain probability.

A simplified expression , (2) is often used for the interpretation of experimental data.
The symmetry reduction caused by the periodic modulation/twinning of tetragonal lattice in nano- or mesoscale was ignored in the Refs. [5–8, 10, 13, 14, 17–24] and the equation (2) was used for the interpretation of experimental data obtained for the 5M martensite.
Ku (kJm-3) T(K) 1 – c/a Specimen Mode of determination Maximal magnetostrain observed (%) [5,6] 117 265 0.062 Single crystal (SC) From M(H) 0.15 [19] 80 Room 0.025 Polycrystal (PC), Ni55Mn20Ga25 From M(H) No data [20] 245 256 No data SC disk, Ni51.3Mn24.0Ga24.7 From M(H) 4.3 [21] 300 170 0.078 SC with Tm = 190 K From M(H) No data [7,22] 170 290 0.059 SC, Ni48Mn31Ga21 From M(H) 5.1 [8] 180 Room No data SC, Ni49.8Mn28.5Ga21.7 From e(H) 6 [23] 150 No data No data SC, Ni48.1Mn29.4Ga22.5 From FMR 0.3 186 SC, Ni49.6Mn28.4Ga22 5 248 SC, Ni49.7Mn28.7Ga21.6 5.3 213 SC, Ni48.2Mn30.8Ga21 7.3 11 100 mm thick ribbon No data [24] 140 No data 0.15 SC, Ni54Mn23Ga23 From M(H) No data The determined from experiments values of magnetocrystalline anisotropy constant are shown in the Table 1.
To our best knowledge, the contributions of these factors to the biaxial magnetocrystalline anisotropy have not been separated and evaluated yet from the available experimental data.
The Table 1 shows, that the experimental data do not demonstrate the direct proportionality between the values of parameters and .

Powders of Со-Р alloy with ultradispersed corundum (Al2O3) and detonation nanodiamond (DND) precipitates were synthesized by chemical reduction.
Chemical reduction method was used in present work to obtain nanocomposite materials.
Со-Р powders were synthesized by chemical reduction from CoSO4 solution.
Magnetization dependence on magnetic field for (Al2O3)7(Co90P10)93 composite measured at temperature of 2 K: 1 – experimental data, 2 – fitting by (2) Fig. 5.
Magnetization dependence on temperature for (Al2O3)30( Co90P10)70 composite measured in applied field of 20 kOe: 1 – experimental data, 2 – fitting by (3) Table 1.