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The results show that the total porosities decline with increase in ages and reduction in A/C ratio.
The great advantages of such structures can be summarized, such as reduction of structure height, lower maintenance requirements and increased service life and so on.
So compared with ordinary cement-based material, there are some errors for the obtained results of CAB, for example, the smaller pore size it is, the larger error ,which is worth noting when the data are analyzed.

The strength of stone casting silicate materials is the reduction in the difference in the temperature coefficients of linear expansion of crystal phases and residual glass phase.
Based on thermal analysis data of researched technogenic raw materials, the following temperature ranges of technological operations for synthesis of stone casting silicate materials have been proposed: the initial melting point corresponds 1200 – 1250 ºC and the end of melting is 1300 – 1350ºC; 1250 – 1300ºC is casting temperature; 1200 – 850ºC is crystallization interval with one-step heat treatment and exposure during 1.5 hours at 950 – 900ºС, followed by cooling in an oven at 10 °C/min.
Secondly, the reason for increasing the strength of stone casting silicate materials is reduction in the difference in the temperature coefficients of linear expansion of crystal phases and residual glass phase [9, 10].

Highly porous SiC ceramics with a wood-like microstructure were prepared by silica sol infiltration and carbothermal reduction reaction.
Both the strength data and SiC content varied in a wide scope because the uniformity of the original wood pieces was poor.
Highly porous silicon carbide ceramic with a woodlike microstructure has been prepared by carbothermal reduction reaction of charcoal/silica composites which were fabricated by infiltrating silica sol into a porous biocarbon template from tilia amurensis wood using a vacuum/pressure infiltration process.
Carbothermal reduction of the as-prepared silica/charcoal composites was carried out in static argon atmosphere in a 10 20 30 40 50 0 50 100 150 200 250 300 350 Birch MDF Pine Bamboo Bending Strength σb /MPa SiC Content vol% Fig.4 Bending strength of SiC/Si ceramics vs SiC contents. 10 20 30 40 50 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 Birch MDF Pine Bamboo Fracture Toughness KIC MPa.m 1/2 SiC Content vol% Fig.5 Fracture toughness of SiC/Si ceramics vs SiC contents.
If lower load was applied to press the laminated paper sheets there would be a wider gap between carbon layers after carbonizing, which can be filled with much more free silicon and exhibited a distinguished laminated microstructure. 100µm Fig.8 SEM micrographs of carbonized tilia amurensis wood obtained at 1200ºC for 4h 100µm Fig. 9 SEM micrographs of porous SiC ceramic from sol-gel and carbothermal reduction process.

For reducing interior vehicle noise below pantograph, noise reduction measures should be effective at 100Hz-2kHz.
The system consists of microphones, signal conditioner, data acquisition cards and computers.
The data acquisition card has 32 ​​channels, each channel has a separate A/D converter chip, and a trigger card provides clock signal for all channel, which is used as conversion clock for each A/D acquisition channel, and ensure each acquisition channel to acquire data synchronously.
The system can guarantee that noise data from monitoring points can be acquired synchronously at the same conditions, so the mutual relations and distribution rule of noises can be reflected accurately.
In order to reduce the error caused by random factors, the average value of multiple measured data was applied.

The associated electrochemical data were presented in Table 3.
The associated electrochemical data were presented in Table 4.
The reduction of MoO42- into Mo (IV) is responsible for the formation of MoO2 in the barrier films.
From the electrochemical data presented in Table 3 and 4, it can be inferred that the corrosion rate of both the samples is lower than their counterparts in blank corrosive media.
Potentiodynamic polarization curves of and weld with the addition of different concentrations of sodium molybdate The inhibition efficiency was calculated by eq 3, all data were listed in Table 3

The EBSD measurement was carried out using a program TSL OIM Data Collection ver.3.5 in Phillips XL30s SEM with FE-gun operated at 20kV in order to investigate microstructural evolution through thickness of the samples with proceeding of the ARB.
This is due to 50% reduction in thickness by the rolling.
Figure 3 shows the ND&RD color maps and GB maps constructed from the EBSD data for the samples processed by ARB of 5cycles and 8cycles.
Fig. 2 EBSD ND & RD color maps and grain boundary maps constructed from the EBSD data for the samples processed by ARB of 1cycle(a) and 3cycles(b).
Fig. 3 EBSD ND & RD color maps and grain boundary maps constructed from the EBSD data for the samples processed by ARB of 5cycle(a) and 8cycles(b).

The consistency of the model is verified with experimental data obtained from a 2014 Al alloy.
This equation takes into account the progressive reduction of Cu supersaturation in the matrix as θ’ precipitates grow
In this stage, the driving force for precipitates dimensional changes is the reduction in surface energy of the system: smaller precipitates tends to dissolve, while bigger precipitates coarsen.
During aging, λav decreases, inducing a strengthening effect in the material despite the reduction of Cu in solid solution described by Eq.4 and the consequent decrease in σss.

Two parts’ stress data can be got through nonlinear calculation, and the data are able to be combined with C++ application.
Secondary development of ANSYS based on stress data files.
With specific issues, we need extract stress data of part A from “file1.ist” and stress data of part B from “file2.ist”.
Depending on the data structure of stress file after two times solution, we can call character manipulation command of C++, combining valid data of “file1.ist” and “file2.ist” into file3.ist.
Dimensional variation reduction for automotive body assembly[J].

Because most of the program for calculating the loop iteration is complete, therefore the loop taken in parallel loop is divided into several parts, each by a thread, which is a data decomposition method, the iterative decomposition process should pay attention to the data relevance.
Code 2： long long num_steps = 1000000000; omp_set_num_threads(4); #pragma omp parallel for private(x) reduction(+:sum) for (i=0; iTable 1 Test data of Numerical integration Iterations [million] 10 100 1000 Serial Run Time[s] 0.068 0.62 5.14 Parallel running time[s] 0.046 0.32 2.65 Speed up 1.4782 1.9375 1.9396 Parallel efficiency 73.91% 96.88% 96.98% In order to visualize the results of the experiments revealed, we have 2 types of experimental data to the graph, respectively, than the comparison chart is to speedup, as shown in Fig.1; parallel efficiency comparison chart, as shown in Fig.2.
Code3： #include "mkl_vsl.h" #define BRNG VSL_BRNG_MCG31 #define METHOD 0 #define BLOCK_SIZE 500 int main(){ unsigned int iter=200000000; int i,j; double x, y; double dUnderCurve=0.0; double pi=0.0; VSLStreamStatePtr stream; #pragma omp parallel private(stream,x,y,i) reduction(+:dUnderCurve) { double r[BLOCK_SIZE*2]; vslNewStream( &stream, BRNG, (int)clock() ); #pragma omp for for(j=0;j