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Table 2 construction Numbers Pile’s long (m) Pile’s diameter (mm) Design limit bearing capacity (kpa) Maximum load test(kpa) Maximum settlement (mm) Limit bearing capacity(kpa) Whether meet the design note 84 8.0 1100 480 480 174.03 333 Don't meet Before ramming 112 8.0 1100 480 480 167.11 429 Don't meet Before ramming 21 8.0 1100 480 480 133.13 429 Don't meet Before ramming 35 8.0 1100 480 480 161.50 333 Don't meet Before ramming 4 8.0 1100 480 480 86.14 480 meet Before ramming 11 8.0 1100 480 480 31.25 180 meet Before ramming 49 8.0 1100 480 480 84.91 180 meet Before ramming 86 8.0 1100 480 480 120.18 180 meet Before ramming 48 8.0 1100 480 480 62.58 480 meet Before ramming 3.1.4 Test results analysis (1) Sphere of application vibration method According to the rules, vibration method suitable for dealing with sand, powder soil, silty clay, grain filling and miscellaneous soil and other foundation.
(2) For construction Numbers for 84, 112, 21, 35, the reason that their composite foundation bearing capacity don't meet the design requirements are as follows: a, geological reasons: from the geological conditions, when the underground water level is 1.8 m, the first (2) layer silty clay is saturated, molliplast to flow plastic state, and the sensitivity of soil are higher (easy thixotropic), loose shallow soil, the lateral restraint pressure is small, all these lead to not easy to vibration.
Afterramming, the composite foundation bearing capacity of meet the design requirements. 3.2 application examples of concrete piles method: the central grain reserves Chang Chun grain depot. 3.2.1 project profile The central grain reserves located in ChangChun grain depot DaTun, southeast.
This grain silos for tube raft foundation, buried deep of 3.0 m, raft with perfusion pile composite foundation element silicon.
Table 3 Layer Geotechnical name Layer thickness (m) Lithology of grain (1) Grain filling 0.4-0.5 Plant tillage soil (2) Silty clay 1.4-1.5 Tan, hard plastic, middling ompressibility (3) Silty clay 2.0-2.1 Tan, plastic, middling compressibility (4) Silty clay 2.1-2.3 Tan, molliplast, high compactness (5) Silty clay 2.0-2.3 Tan, plastic, middling compressibility (6) Silty clay 2.6-3.1 isabelline, hard plastic, middling compressibility Note: the underground water level 3.0-3.2 m 3.2.3 load test results see the following table.

Some grains had happened re-crystallization at the same time.
Fig.1 (b) shows the microstructure of cold rolled sheet after two-step aging, it seemed that the number of precipitated phases became smaller, but a large number of black particles formed in the Al substrate and grain boundaries from B area.
The change of size of recrystallized grains was not apparent compared with that of hot rolled sheet.
The lower driving force of growing of grains after recrystallization compared with that of recrystallized grains, which didn't overcome the effect of pinning the grain boundaries by the second-phase participle or result in apparent change of the size of the recrystallized grains as shown in Fig.1(a)(b).
Besides, the recrystallization grain size difference is very small

By means of Adaptive Neural-Fuzzy Inference Systems(ANFIS), the prediction model of surface roughness of zirconia toughened alumina ceramics (ZTA ceramics) under ultrasonic assisted grinding is established, and the model may obtain the higher forecast precision (81.25%) by dealing with nonlinear problem among grinding parameters, and fuzzy rule curved face formed by prediction model showed four input factors have different influence on surface roughness Ra, and they are abrasive grain size, grinding method, grinding depth, axial feed and speed of worktable from top to bottom.
=1, 2, …, n (4) Fourthly, the output of each rule is calculated in the fourth layer, and the number of nodes is as same as that in the third layer, and the output of nodes in the layer is shown as follows
The inputs are grinding method (diamond grinding without ultrasonic vibration, diamond grinding with ultrasonic vibration,), grinding depth ap, worktable speed Vw, the feed speed of wheel f and grain size, and the output is surface roughness.
The prediction model of ANFIS which predict surface roughness of ZTA ceramics under diamond grinding with or without ultrasonic vibration is generated after the optimization, and the number of fuzzy rules is 243, and the rule surface generated by the system is shown in Fig.6.
According to Fig.6, four input factors have different influence on surface roughness Ra, and they are abrasive grain size, grinding method, grinding depth, axial feed and speed of worktable from top to bottom, so it provides the basis for choosing grinding parameters reasonably and improving surface quality of ceramics.

It is shown that after the electrolyte-plasma processing of steel 12Cr18Ni10Ti, microstructure contains particles of carbides and has a fine-grained martensitic structure.
Test sample of the investigated material continued in the course of time, the number of revolutions of the movie clip to 600 rpm.
The results of metallographic research testify to the fact that, on a) the visible grain of austenite the initial condition of the steel, to b) and c) are visible near the borders of the granules enriched iron carbides.
It is known that the formation of carbides on the limits of the grain of austenite has a direct effect on the mechanical properties of steel.
Thus, the microstructure of the hardened surface of the sample is a fine-grained martensitic structure with dispersed inclusions insoluble carbides.

The high permittivity of the ceramic comes, as Matsuoka pointed out [13, 14], from the fact that the resistivity of TiO2 grains is much lower than that of the grain boundary layers, so the entire voltage is sustained across narrow intergranular regions and the polarization is large.
Where is the number of grains per unit length and the voltage barrier width.
The grain boundary height () for the sample doped with 0.3 mol% CeO2 is 0.36 eV.
It can be found that the highest grain-boundary voltage barrier occurred for the sample doped with 0.3 mol% CeO2, which was consistent with the best nonlinear electrical properties for this composition.
Hence, most of Ce segreate at grain boundaries to reduce elastic strain energy.

With decrease in particle size the conglobation of grains was observed noticeably.
D(4,3) expresses the volume average diameter, its computation formula is: Σnidi4/Σnidi3, where di represents a fine interval size, ni represents its interval of the particles relative number.
Table 1 The grain size parameters of samples corundum powder Specific diameter, (μm) Volume average diameter, D(4,3), (μm) D10, (μm) D50, (μm) D90, (μm) 500 mesh 30.8 30.742 4.644 25.018 66.182 800 mesh 25.0 24.648 2.151 11.085 30.085 15μm 15.0 14.776 1.24 8.022 38.586 The grain size parameters of samples are shown in Table 1.
As the particle volume average diameter D(4,3) is greater than median grain size D50, most particle sizes are smaller than the average diameter of the powder.
Zhu, Comparison of lake sediment grain size results measured by two laser diffraction particle size analyzers, J.

Sc addition resulted in the as-cast grain size refinement and improvement of weldability.
The result shows that for alloy 1 without Sc, the large coarse columnar grains are found to have an almost continuoues layer of eutectic along their grain boundaries.
Evidently, this cause is really important for refining as-cast grains of the alloys containing Sc.
However, at the same time, the presence of a large number of the particles-nuclei of scandium aluminide in a unit of aluminum alloy melt volume must be taken into account.
These particles strongly pin sub-grain boundaries (Fig. 4a).

Of course there is some other biomass for non-grain processing.
It is difficult for the researchers to get an exact number.
Usually, the estimated number is used in the research.
It is 0.76 for cornstalk harvested, which is a big number among the planting crops.
Jilin Province is a main grain-producing province.

Intensive roping occurs when the grains with specific texture components form banded structure along the RD.
In the present work, the through-thickness texture inhomogeneity in a number of typical AA6111 sheet variants has been characterized and corelated to the different roping behaviors.
The grain structure reconstruction and texture analysis were performed using HKL Channel 5 software.
Therefore, neither selective nucleation nor selective grain growth is very prominent and thus forming a relatively weak texture.
The unlimited high r-value means that the grains with Goss orientation are theoretically unable to be thinned at all.

Fig. 4 Mean grain size (a) and area fraction of twin (b) in the thermo-mechanically trained samples.
An increase in number of training results in an increase in the amount of twin.
The mean g grain size, which is measured without consideration of the twin boundaries, is plotted against the number of training, and results are shown in Fig. 4 (a).
As can be seen, the mean g grain size decreases with an increase in the number of thermo-mechanical cycles.
An increase in number of training results in an increase in the internal friction