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The “experim” curves correspond to the data of experimental testing of three specimens from [16], showing envelopes of the highest and lowest load values for demonstration of the scattering of experimental data.
This model of material does not take into account reduction of stresses in the tensile zone of the concrete in case of crack opening, because it does not include the descending branch of the σi – εi diagram.

Long-term strength of the material Rbtl by 15¸20% lower than for short-term loaded structures. k4 – experimental parameter; b2 = Rs/Rbt; a2 = Es/Eb; m = As/A – are reduction factors; l – is the coefficient of elastic-plasticity of concrete.
To implement the proposed method for solving the problem of determining the stress-strain state of thin reinforced concrete round slabs, taking into account the deformation of the support contour and inelastic properties of the material, algorithm and program for calculating the structures under consideration were developed, the analysis of the calculation results and their comparison with experimental data were made.
Index unit of measure Loading stage 1 2 3 4 5 6 Load кН×м2 0,701 1,402 2,103 2.301 3,505 4,206 Experimental deflection мм 2,3 12,09 19,54 28,09 35,97 40,45 Design deflection мм 2,76 14,1 21,17 28,22 34,28 42,34 Experimental. / Races. — 0,833 0,856 0,923 0,99З 1,019 0,955 The discrepancy between the calculation results according to the proposed method and the experimental data at high levels of breaking loads does not exceed 15% by deflections.

Further, this recorded data were plotted on graphs as shown in Figure 2 (c).
The ANOVA results for micro-hardness based on S/N data are given in Table 6.
Higher MRR, low TWR and reduction in SR were observed when machining was performed under reverse polarity.

Fabrication of 1D Nanometer Tungsten Trioxide under Different Solvent System Linyan Zhao1,2,a, Yuegang Shen2,b, Youshu Fan2,c, Liwen Ma2,d and Xiaoli Xi1,2,e* 1National Engineering Laboratory for Industrial Big-data Application Technology, Beijing University of Technology, Beijing 100124, China 2College of Material Science and Engineering, Key Laboratory of Advanced Functional Materials, Education Ministry of China, Beijing University of Technology, Beijing 100124, China azlydd@emails.bjut.edu.cn, b18810927308@163.com, c957243928@qq.com, dmaliwen@bjut.edu.cn, exixiaoli@bjut.edu.cn Keywords: nanometer, tungsten trioxide, solvethermal, photpcatalytic Abstract.
Acknowledgements This work was supported by National Natural Science Foundation of China (51621003, 51422401), Science and Technology Project of Beijing Municipal Education Commission (KM201810005009), Beijing Municipal Natural Science Foundation (2172010) and the Construction Project for National Engineering Laboratory for Industrial Big-data Application Technology (312000522303).
[6] Xi, G., Ouyang, S., Li, P., Ye, J., Ma, Q., Su, N., Bai, H., Wang, C.: Ultrathin W18O49 Nanowires with Diameters below 1 nm: Synthesis, Near-Infrared Absorption, Photoluminescence, and Photochemical Reduction of Carbon Dioxide.

When using a film-screen system, spatial variation is depicted by the distribution of the optical density that results on the film (radiograph)[11] and when using a digital imaging system, postprocessing is demonstrated by the grey-scale values that appear on the monitor station (X-ray image) [12] after corrections of the raw data [12].
The study used patient data in the ICU for 16 weeks with 622 cases.
Jang et al., “Image quality assessment with dose reduction using high kVp and additional filtration for abdominal digital radiography,” Phys.

The tendency of the swelling degree data is similar to that of Erceg [19] and Hans [20], which resulted in the following second-order kinetics model.
Its maximum swelling degree is 558.63% at 1:15 (w/w), indicating a reduction in water absorption.
The lines represent the estimated values of swelling based on the second-order model, while the symbols represent the experimental data of swelling.

In turn, the reduction in the number of aromatic hydrocarbons in the gasoline contributes to the loss of the octane number and can be replaced by high octane non-aromatic -branched n-alkanes - elements.
When the specimen of interest is identifies by the imaging capability of the microscope.The data generated by EDX analysis consist of spectra showing peaks corresponding to the elements making up the true composition of the sample being analysed.
Fig. 4 illustrate Adsorption desorption isotherm of preparation SZ in order to evaluate the pore structures of the catalytic converters adsorption–desorption data is needed [22].

Two kinds of experiments were performed: (1) in situ SANS during tensile deformation and (2) SANS measurements after cold rolling where the reduction in area was changed.
The correlation function was obtained from the measured data like in Fig.1(b), where the influence of nitrogen addition is found at ) :, :/}2/)2{sin(4( angle scattering lengthwave q θ λλθπ= of 0.1 nm-1 which is corresponding to about 50nm in real size.
Here, the flow curve is described by using the KM model, where the KM parameters were determined from these data obtained by tension tests at low strain rates below RT.

The comparison of experimental data and model curve based on Eq.(2) is shown in Fig.5.
As the load increases, the neutral axis continues to move upward causing reduction of the compression zone depth.
Good agreement between the predicted values and test data can be seen in Table 7 indicating that the proposed analytical model is valid.

This paper proposed a dimensionality reduction method to convert equality constraints into inequality constraints.
Table 1 The data of the generators Unit number a/ b/ c/ Pmin/ Pmax/ $ ($/(MW·h)) ($/(MW2·h)) MW MW G1 10 2.0 0.010 5 150 G2 10 1.5 0.012 5 150 G3 20 1.8 0.004 5 150 G4 10 1.0 0.006 5 150 G5 20 1.8 0.004 5 150 G6 10 1.5 0.010 5 150 Unit number a/(t/h) b/ (t/( MW·h)) g/ (t/(MW2·h)) z/(t/h) l/ MW-1 G1 4.091 -5.554×10-2 6.490×10-4 2.0×10-4 0.02857 G2 2.543 -6.047×10-2 5.638×10-4 5.0×10-4 0.03333 G3 4.258 -5.094×10-2 4.586×10-4 1.0×10-6 0.08000 G4 5.326 -3.550×10-2 3.380×10-4 2.0×10-3 0.02000 G5 4.258 -5.094×10-2 4.586×10-4 1.0×10-6 0.08000 G6 6.131 -5.555×10-2 5.151×10-4 1.0×10-5 0.06667 Simulation without wind power Setting the particle swarm optimization parameter as follows: the learning factor , the maximum and minimum inertia weight are and respectively, the number of particles is 60, the maximum iterations is 100, the capacity of choice set and the set of Pareto optimal solutions are limited to 40 and 80 respectively.
Therefore, if dispatchers use the algorithm to evalute the security of power system with wind power, they should obtain the data of wind power penetration rate in order to make the right decisions