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However, with all their well-known advantages, cement compositions have also a number of drawbacks; their tensile strength is one order less than their compressive strength; they show a tendency to shrinkage.
Increase in strength, crack resistance, impermeability of cement composites will ensure dispersed reinforcement and the maximum possible number of electro-heterogeneous contacts between the cement hydration products and fiber surface.
(In Russian) [21] Babushkin, V.I., Plugin,A.A., Kostyuk,T.A., Matvienko,V.A.Influence of surface active centers on the strength of fine-grained concrete,Scientific bulletin of civil engineering, Kharkiv,KhSTUBA, 1998,V.5, pp.85-88.
Manage strength fine-grained concrete after forming on the basis of the calculation electrosurface properties of its composition, Kharkіv: KhSTUBA, 1999, No7, pp.63-67.

The density of the crucible material determines its stability (the number of heat changes).
This is because high-temperature grain boundary diffusion of defects in the crystal structure is inhibited in a single crystal.
The density of dislocations on micrographs was determined using the following dependence: ρ=Mtn1L1+n2L2 (1) where M is the magnification on a photomicrograph; t – foil thickness; n1, n2 - the number of intersections with horizontal and vertical lines, respectively; L1, L2 - the total length of horizontal and vertical lines.
The substructure has clear sub-boundaries with a homogeneous dislocation structure, without gradients in the density of dislocations, as well as their absence between the internal volume of grains and intergrain boundaries (Fig. 7b).

Introduction In the coal mine industry, the mining waste ores and the ore tailing of mineral separation are abound, of which the duns are largest in number.
Its number is large and most of them are piled around the ore fields and thus cover a large area of farming land.
In average every hectare of cultivated land receives an increase of grain output 675 kilograms.
Taking Teng-nan Coal Mine as an example, as a result of the adoption of the pattern of farming, cultivation of animals and processing of products, the yielded cereal crop can be used as the raw materials in the processing plants to produce chums and feedstuff for ducks; and the food residue of fish and the feces of ducks are left on the bottom of the pounds and can be used as organic fertilizers of the platform fields after being dug up to increase the grain output.

As such, nanoscience has demonstrated a unique enabling technologies for a number of applications such as solar cells, photodetectors, energy storage devices [3].
The PLD approach is well-known for delivering well-defined NCs along with a significant number of nanostructures [10]. 2.
The attained outcomes suggest that the PPy/NiO exhibited cluster shaped morphology which looks like layer of grain (C2 and C4).
The grain layer is well-distributed and coated onto the f-MWCNT surface.

Which was similar to the inverse distance interpolation method, may be expressed as: z(x0) was the value of the unknown sample, z(xi) was value of the sample which was known around the unknown sample point, was the weight for known sample points right to unknown sample, n was the number of sample points were known.
Tab. 2 Descriptive statistics characteristics of different soil granule composition layer (cm) soil granules grade Number of samples(N) mean median Standard deviation min max The coefficient of variation(cv) Method K-S test values ​​(p) Distribution Type 0-20 clay 78 13.27 12.61 3.18 7.91 20.51 0.24 0.232 Normal silt 78 58.41 57.87 7.16 43.41 75.19 0.12 0.826 Normal sand 78 28.33 27.26 8.11 10.55 46.33 0.29 0.726 Normal 20-40 clay 78 14.26 13.83 3.99 3.42 22.04 0.28 0.286 Normal silt 78 58.35 58.18 9.85 13.89 79.46 0.17 0.355 Normal sand 78 27.40 25.00 11.09 6.03 82.70 0.40 0.435 Normal The table 2 showed that the soil particle composition characteristics was similar in every levels, all with highest average content of silt, accounted for about 60% of the grain composition content.
Spatial Distribution of Soil Nutrient and Relationship Between Soil Nutrient and Soil Granule Compo sition for Grain Crop Region[J], Scientia Agricultura Sinica, 2002 ,35 (3) :297 – 302.

∆Smix = -Ri=1nxilnxi (4) Where xi is a mole fraction of the component i, and n is the number of constituent elements.
The bright contrast phase was observed in the interdendritic area in HEAs or grain boundaries in MEAs.
The small amount of the dark contrast particles was also observed in the interdendritic area or grain boundaries.
If the number of dislocations introduced during phase transformation are saturated, the irrecoverable strain is finally disappeared.

Microstructures of the oxalic acid etch test given in figure 9, shows carbide precipitations along grain boundaries in aged samples for base and weld HAZ.
Results of the tests on base and weld HAZ after accelerated thermal ageing, indicates that carbide precipitation along the grain boundaries is also within acceptable limit.
During the tests crack growth in depth and surface (circumferential) direction with respect to number of cycles was recorded.
Maximum crack depth and number of cycles for a given stress ratio (R) of 0.1 are shown in figures 11 to 13.

There are a number of tools available for inclusion measurement based on different principles.
Metallographic Techniques There are a number of techniques based around metallographic principles.
The test consists of casting one or more plates, which are fractured at the notches to provide a number of fracture surfaces.
Conclusion There are a number of techniques used for inclusion detection in molten aluminium.
[30] Pedneau, N. and Pekguleryuz, M.O. (1997) Equiaxed-grain size analysis in the mushy zone during solidification via an in-situ method based on the electrical sensing zone principle.

The main agricultural industries in the area are grain and fruit production, and animal husbandry.
Table 1 Experimental sites examined in the Nanxiaohegou basin Sample Number Sampling site and land type/dominant vegetation Depth (cm) Sample Number Sampling site and land type/dominant vegetation Depth (cm) 1 Huaguoshan; Hippophae rhamnoides 0~20 28 Farmland; slope 0~20 2 20~60 29 40~60 3 60~100 30 60~100 4 Dongzhuanggou; dry gully 0~20 31 Apple orchard; mesa 0~20 5 20~60 32 20~60 6 60~100 33 60~100 7 Dongzhuanggou; Wasteland 0~20 34 Soybean plantation; mesa 0~20 8 20~60 35 20~40 9 60~100 36 40~60 10 Shibamutai; wet gully 0~20 37 60~100 11 20~60 38 Forest land; Pinus tabluiformis 0~20 12 60~100 39 20~60 13 Shibamutai; ditch mesa 0~20 40 60~100 14 20~40 41 Changqingshan; apricot orchard 0~20 15 40~60 42 20~60 16 60~100 43 60~100 17 Shibamutai; wetland 0~20 44 Alfalfa plantation; shaded slope 0~20 18 20~40 45 20~60 19 40~60 46 60~100 20 21 Changqingshan; oriental arborvitae 0~40 40~100 47 Changqingshan; wasteland 0~20 48 20~60 49 60~100 22 Changqingshan
Table 2 Values taken by the parameters for the three Gardner-type soil-water characteristic curve models Number a b R2 a b R2 B A R2 1 753979 24.1360 0.9623 0.1054 6.9719 0.9841 0.9772 6.9719 0.9841 2 3000000 26.7560 0.9921 0.0571 7.8870 0.9926 1.2434 7.8870 0.9926 3 464479 20.2780 0.9851 0.5051 6.2231 0.9935 0.2966 6.2231 0.9935 4 2000000 29.8260 0.9952 0.0332 7.4236 0.9855 1.4789 7.4236 0.9855 5 1000000 29.3890 0.9941 0.0372 7.2796 0.9901 1.4295 7.2796 0.9901 6 6000000 35.3860 0.9956 0.0059 8.4780 0.9840 2.2291 8.4780 0.9840 7 623436 28.8560 0.9817 0.0453 6.5661 0.9929 1.3439 6.5661 0.9929 8 3000000 33.5640 0.9966 0.0107 7.9646 0.9879 1.9706 7.9646 0.9879 9 2000000 31.9350 0.9968 0.0205 7.3218 0.9888 1.6882 7.3218 0.9888 10 473323 25.1850 0.9548 0.0852 6.5444 0.9872 1.0696 6.5444 0.9872 11 7000000 38.0780 0.9961 0.0025 2.7246 0.9891 2.6021 2.7246 0.9891 12 3000000 32.4690 0.9937
0.9919 43 49031 18.5210 0.9085 0.8474 4.3837 0.9759 0.0719 4.3837 0.9759 44 52291 19.1280 0.8923 0.6027 4.5598 0.9676 0.2199 4.5598 0.9676 45 52621 19.5530 0.9013 0.5797 4.5250 0.9733 0.2368 4.5250 0.9733 46 58649 18.5060 0.9069 0.7357 4.6152 0.9752 0.1333 4.6152 0.9752 47 49981 19.3720 0.8950 0.5949 4.4972 0.9696 0.2256 4.4972 0.9696 48 46900 20.9660 0.9321 0.5986 4.2339 0.9892 0.2229 4.2339 0.9892 49 50382 17.0770 0.8899 1.0093 4.5303 0.9666 -0.0040 4.5303 0.9666 50 61141 19.0880 0.9034 0.6158 4.6704 0.9719 0.2106 4.6704 0.9719 51 34121 19.1320 0.8829 0.7532 4.1033 0.9719 0.1231 4.1033 0.9719 52 20000000 33.4760 0.9928 0.0048 10.0510 0.9946 2.3188 10.0510 0.9946 53 43422 19.6130 0.8924 0.5985 4.3549 0.9699 0.2229 4.3549 0.9699 54 114240 22.4160 0.9459 0.2907 4.1119 0.9893 0.5366 4.1119 0.9893 55 1000000 30.1130 0.9810 0.0259 7.1002 0.9931 1.5867 7.1002 0.9931 Note: Sample numbers

The options for applying protective wear-resistant coatings to the surface of 30HGSN2A steel The number of coating option Powder mixture The coating method The particle size of powders, [µm] The shape of powder particle Spray distance, [mm] 1 2 3 4 5 6 7 8 9 10 11 12 A A A A A A A A A B C C APS APS APS APS HVOF HVOF HVOF HVOF HVOF HVOF HVOF HVOF 45-100 45- 100 45-100 45-100 20-63 15-45 45-100 20-63 20-63 20-45 20-45 15-45 Fragment Fragment Fragment Sphere Fragment Fragment Fragment Sphere Sphere Sphere Fragment Sphere 120-140 80 60 120-140 270-300 270-300 270-300 270-300 230-260 270-300 270-300 270-300 The modes of gas-thermal spraying processes are: when implementing APS, arc voltage 30-35 V, current 400-405 A, flow rate of plasma-forming gas (argon) 30-35 l / min, flow rate of transporting gas (argon) 4.0 l/min, linear rotation speed of the cylindrical sample 10-12 m/min, longitudinal feed of the plasma torch 300 mm/min
The analysis of the results shows that a number of options (1, 5-7, 11) does not allow for the application of coatings.
The quality indicators of protective wear-resistant coatings on the surface of 30HGSN2A steel The number of the coating option The appearance The thickness, [µm] The adhesion strength τsh, [MPa] The microhardness, [MPa] The porosity, [%] 1 The surface uncovered by spraying material - - - - 2 The surface defects were not detected 80-100 80.0 9400-10000 6-8 3 The non-uniformity of coating color 70-80 67.2 8700-9200 9-10 4 The surface defects were not detected 100-110 114 9500-10000 5-8 5 The surface uncovered by spraying material - - - - 6 The surface uncovered by spraying material - - - - 7 The surface uncovered by spraying material - - - - 8 The surface defects were not detected 15- 18 95.5 9700-10500 0.8-1.5 9 The presence of coating detachments 10-16 39.0 6500-7100 4.0-6.3 10 The surface defects were not detected 15-16 110 9300-10000 0.8-1.7 11 The surface uncovered by spraying material 16-19 - - 12 The surface defects were not detected 85.5 11500-12100 1.8 -2.0 2.
Acknowledgments The reported study was funded by RFBR, project number 19-38-90172.
Pawlowski, Finely grained nanometric and submicrometric coatings by thermal spraying: A review, Surface and Coatings Technology. 202 (2008) 4318-4322