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Based on the tunnel structure security, the fireproof concretes of tunnel lining have been researched, and have the tensile tests for the fireproof concretes of tunnel lining. [1-3] Experiment Heater This experiment heater is shown in fig.1,the chamber size for 900×600×600mm, the maximum temperature may arrive 1200°C, the temperature stability for ±1°C, the temperature uniformity for ±6°C rises, in the elevation of temperature speed 35 minutes may to 1200°C, the silicon-controlled rectifier control, the programmable 10 sections, the PID parameter self regulating decide the function, automatic non-disturbance cut function, excess temperature warning function, accuracy of instrument: 0.2%F.S, the paperless record historical data and the heating curve, may momentarily establish and store up 6 group of craft curves, for momentarily transfers, the PID parameter optimization installation function, the installation good PID parameter may save, for momentarily transfers, the special-purpose
software, uses in demonstrating, control, record historical data and heating curve.
The initial temperature rises rapidly, and along with fuel reduction, but drops gradually.
Table 3 for the tentative data orthogonal analytical table, from the test result analysis, selected the 4th level, the 4th level, the 2nd level for the polypropylene textile fiber, the silica flour and the carbon fiber, the ratio of tensile strength loss is in a small scope.
Fig.5 Test sample tensile strength loss factor change Table 3 Test sample tensile strength orthogonal data analysis K1 169.62 176.07 140.78 K2 105.60 140.26 94.19 K3 164.03 131.77 146.75 K4 100.38 91.55 157.92 k1 42.40 44.02 35.19 k2 26.40 35.06 23.54 k3 41.01 32.94 36.69 k4 25.09 22.89 39.48 range 17.31 21.13 -4.29 scheme A4 B4 C2 Acknowledgements This work was financially supported by the JiangXi Jiao Tong Science Foundation (200740).

As the control core of system, STM32F103’s instruction execution speed can reach 1.25 DMips / MHz, coupled with its high-speed data processing ability, can very well support expert PID control algorithm and reach real-time, high precision control.
This system uses the absolute encoder of RD60T14-17-5 V - TBB - TMG – 1M, and the angular range of encoder is 0-360 °,the data digit is 17, measuring resolution is 10 '', and accuracy is ±20 ".
Make functions initialization for all of the peripherals of croprocessor STM32F103 be used, then receive absolute encoder data, and calculate the angular speed of rotary table, then read the AD conversion results, and calculate the motor current, at last ,according to control algorithm calculate and output PWM duty ratio to adjust the motor speed [2].
Fig.4 System software process Begin functions initialization receive absolute encoder data read AD conversion results calculate and output PWM The expert PID control algorithm Expert PID control is on the basis of the conventional PID control,and its main characteristic is regulate different algorithms according different partitions.
Expert PID control has the rapidity of Bang - Bang control, and stability and anti-jamming capability of the hysteresis control [3]. e(k) represents the discretization error values at the current sampling time, and respectively represent error values of the former and the former two sampling times, M1 is a big error value, M2 is an appropriate error values, there are: The expert PID controller can be divided into the following five kinds of situation to carry on the design [4] : 1) , controller conducts according to the positive or negative maximum output,. 2), absolute value of error is changing towards the increase, or error is a constant,if , error is some big, and stronger control function is considered to implement. 3) and or , the error absolute value change in the direction of the reduction or has reached the equilibrium state, controller output is considered unchanged. 4) and , the error is in a state of extreme value, if the error absolute value is bigger, namely

But when clustering the big data set, FCM algorithm is extremely time-consuming, moreover, regarding to the image of low signal-to-noise ratio, the segmentation result is not very ideal.
If the region has been known, adopting the common segmentation methods based on the intensity can evaluate the flame region easily, thus the correct data is gained.
This improved FCM algorithm increases the effect of image segmentation, but regarding to the big data sets, the algorithm is still time-consuming and the image segmentation effect needs to be improved.
Experiment result Algorithm Reduction number of the wrong classification The Surpassing proportion to FCM FCM 15 M-FCM 5 20% Figure 1(c) The final processing results Figure 1 (b) Intermediate processing results Figure 1 (a) Original image Figure 2 (c) The final processing results Figure 2 (a) Original image Figure 2 (b) Intermediate processing results Conclusion The image segmentation is the important content of the mode recognition, image understanding, and the computer vision.
“Progressive sampling schemes for approximate clustering in very large data sets”[C].

However, maximum compressive strength was found for a determined BFS content value in the geopolymers, so that a clear reduction of this parameter was appreciated when the BFS content increased above this value.
Mineralogical composition of fly ash and blast furnace slag (wt%) Amorphous phase Mineralogical composition [wt %] Quartz Mullite Calcite Leucite Hematite Anhydrite Microcline Other FA 85 4.6 10 <0.1 - 0.5 0.2 0.1 <0.1 BFS 77 2.3 10 6.8 3.5 - - - <0.1 The high content of SiO2 and Al2O3 of fly ash and the high CaO content of blast furnace slag may be stressed when the data in Table 3 are analyzed.
However, a reduction in the compressive strength of the geopolymers is observed when an excess of BFS is used.
Geopolymers are not affected by the hydration process in the same way as the Portland cement matrixes suffers when are cured in water, so it is possible that in this case the compressive strength reduction could be due to an infiltration effect favouring by the geopolymer porosity. 4.
Conclusions The influence of BFS content on certain properties of fly ash based geopolymers is analyzed in this paper, the main conclusions being the following: § There is a maximum BFS content for which the strength is the maximum, leading to a reduction in resistance when the BFS content is increased just above this value

The modern mechanism for organizing procurement on the basis of the Unified Information System allows collecting data for monitoring the bids and final proposals of procurement participants.
Based on these data, we have conducted a comprehensive analysis of quantitative and qualitative indicators of state and municipal procurements of goods, works and services.
The average price reduction for competitive procurement was 8.2%.
From the analysis of data on canceled contracts, it follows that, both in 2015 and in 2016, termination of contracts was mainly carried out by the parties' agreement.
Table 1 presents the data characterizing the volume and share of procurement for contract work in the Bryansk region in terms of procedures types, to provide for government and municipal needs in 2017 (refer with: Fig. 3).

This clearly means that some effect of Al substitution, different from the mere increase in interband scattering, must be taken into account to explain the data.
Lines are the best fit of the data within the Eliashberg theory, calculated with a dominant spin-flip scattering in the σ bands plus smaller contributions from either the π-π (solid lines) or the σ-π (dashed lines) channels.
Actually, a fitting of the data within the two-band Eliashberg theory is destined to fail since, in a wide range of Tc values, both gaps are smaller than the BCS value (dotted line in Fig.4), while a BCS-like gap ratio is recovered at Tc = 8.5 K, when ∆≈ 1 meV.
The best fit of the data, although unsatisfactory in the intermediate Tc range, requires a substantial reduction in the σ-band DOS (solid lines in Fig.4) that is indeed experimentally observed by NMR [22].
Lines: fit of the experimental data within the Eliashberg theory.

The disorientation data indicated little dependence of the grain boundary disorientation distribution on the ECAP process route.
Tensile data.
In Fig.7 the tensile data are summarized as a function of the number of passes.
The disorientation data confirmed that repetitive pressing results in a progressive increase in the fraction of high-angle grain boundaries (Fig.5).
A comparison of the simulated evolution of the dislocation cell size and yield strength with experimental data showed a good capability of the model to account for major features of the deformation behaviour of Al under ECAP.

This assumption is supported by the literature data on oxygen precipitation kinetics [13], where it was found that oxygen precipitate dissolution is diffusion limited rather than reaction limited process.
Thickness of the layers before and after the dissolution was measured by a spectroscopic ellipsometer. 49 data points with 5 mm edge exclusion were taken for each wafer.
Few samples were analyzed by XTEM and XRR (X-ray reflection) to confirm ellipsometry data.
The data fit very well to the straight line with the slope of 45%, which is the ratio of specific volumes of Si and SiO2, as predicted by Eq.7.
For each annealing condition the same value of B, but different A were used to fit edge and center data.

Important for a measurement result is the detection of as many data points as possible.
Ideally the gathered datasets should exhibit lacks of data points.
Cause-effect matrix Evaluation of importance for customers (1-10) 7 7 3 9 3     Process Inputs Many data points No missing data points wide measurement area high resolution fast measurement Sum 1 Angle 3 7 7 3 1 121 2 Orientation 3 3 7 7 1 129 3 Sensor type 7 3 9 9 3 187 4 Reflection 9 9 1 1 1 141 5 Ambient light 7 7 1 1 1 113 6 Temperature 1 1 1 1 1 29 7 Vibration 1 1 1 1 1 29 8 Dirt 1 3 1 1 1 43 9 Filtration 3 3 1 3 3 81 10 Experience 7 7 1 1 3 119 11 Motivation 7 7 1 1 3 119   Total 343 357 93 261 57   The final evaluation of the complete relevance of an input factor is done by equation 1.
For the use of the measurement system for detecting data in order of deriving process improvements, the number of clearly distinguishable categories has to be at least five.
For a further selection of the data, the variations of the different measurement angles are considered.

The objective of the present paper is to offer a model-based damage detection technique by relying on vibrations test data.
Validation of the damage detection methods by the experimental data is then followed.
Application to Experimental Data.
We have carried out the damage detection procedure to experimental strain data obtained on the CFRP filament winding pipe mentioned before.
The strain data have been measured at the center of (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) : Strain gage location Fig. 1.