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[3] SHU K L.Ray-trace analysis and data reduction methods for the Ritchey-Common Test[J].Applied Optics,1983,22(12):1879-1886
A data processing method in Ritchey-Common test [J].Opto-Electronic Engineering,2004,31(1):24-25.

The initial temperature rises rapidly, and along with fuel reduction, but drops gradually.
Table 3 Test sample compressive strength orthogonal data analysis K1 74.75 39.79 31.93 K2 -21.79 39.37 23.83 K3 -19.99 -13.45 -2.83 K4 -0.03 -32.77 -19.99 k1 18.69 9.95 7.98 k2 -5.45 9.84 5.96 k3 -4.10 -3.36 -0.71 k4 -0.01 -8.19 -4.10 range 24.14 18.14 12.98 scheme A2 B4 C4 Table 3 for the tentative data orthogonal analytical table, from the test result analysis, selected the 2nd level, the 4th level, the 4th level for the polypropylene textile fiber, the silica flour and the carbon fiber, the ratio of compressive strength loss is in a small scope.

Using high-purity cobalt oxide or cobalt oxalate by hydrogen reduction and electrolytic cobalt powder to prepare metallic cobalt powder are two main methods for preparing cobalt powder, the processes of which have a wide range of applications in practice [5].
The data of the mass loss of the pyolytic decomposition of CoC2O4 . 2H2O in the argon gas is presented in Table 1 according to its TG-DSC curves.
Fig.1 The curve of TG-DSC of CoC2O4 . 2H2O from the room temperature to 500 °C in the argon gas (heating rate of 10 °C. min-1) Table 1 The data of the weight loss of the pyolytic decomposition of CoC2O4 . 2H2O in the argon gas Temperature / °C Thermal decomposition process Mass loss rate / % Real mass loss rate Theoretical mass loss rate 150~275 CoC2O4 . 2H2O→CoC2O4+2H2O 19.07 19.67 300~450 CoC2O4→Co+2CO2 47.60 48.09 Analysis of the morphologies of the pyrolysates of CoC2O4 . 2H2O SEM images of the pyrolysate of CoC2O4 . 2H2O at the different temperature for 10 min in the argon gas (heating rate of 10 °C. min-1) are shown in Fig. 2.

Load cells and displacement gauges were used to measure the vertical load and displacement, and the data were recorded automatically by a data acquisition system.
The following conclusions can be drawn from Fig.1 - Fig.6: 1）At the same ingredient ratio and strain rate, the reduction of polymer addition can lead to a lower peak stress value and elastic modulus, but the residual loads are almost the same. 2）At the same strain rate, polymer-modified concretes (NC1, NC3andNC4) have obvious brittleness, especially NC1.

The physicochemical data, mechanical strength and phase composition of this ceramic were analysed.
Also in comparison to published data for Y-TZP or common ZTA-ceramic showed that our results concerning the initial monoclinic ZrO2 are in the same range below < 2 % [4,5].
After the test the remaining static strength was 70 kN, which corresponds to a reduction of approximately 18 %.

In the present research, the effect of cyclic compressive loads of different amplitudes on clay bricks was studied, with two main objective of acquiring specific data on the fatigue behaviour in relation to the static behaviour and studying the fatigue effect on the possible change of the elastic properties of the bricks.
With increasing number of cycles the load versus displacement curve shows a deterioration consisting of a reduction in its inclination relative to the displacement axis; this process comes to a limit, i.e., failure occurs, when this curve intersects the descending branch of the static test (Fig. 1b).
For a higher intensity compressive cycles, brick fatigue life can be evaluated by means of a failure criterion based on the observation of the static and cyclic curves, as already ascertained by several authors for concrete: a very good applicability was found for bricks, despite it was observed a medium variability of the data.

Based on this, the two sets of data will be establishedinto the model.
Table 1,Electric parametersof different time B2 B4 B6 B8 B10 B12 B14 B18 Capacitor 1 U 401.9 401.9 401.9 405.9 405.9 405.9 402.3 402.3 402.3 I 3.251 9.948 6.608 0.687 8.196 8.862 1.412 2.737 0 P 322.1 1083.8 896.4 19.2 707.7 2035.0 308.7 326.7 0 Q -1266 -3841 -2520 -277 -3250 -2956 -476 -1052 0 2 U 141.3 141.3 141.3 142.6 142.6 142.6 141.6 141.6 141.6 I 1.107 4.083 2.354 0.234 3.721 2.708 0.517 0.526 38.302 P 37.4 175.5 150.6 -0.5 180.3 128.3 44.3 21.7 -0.5 Q -151.3 -547.4 -298.6 -32.9 -500.4 -364.2 -58.1 -70.9 -5426 Through the above-mentioned data, table 2 shows the results in the testing time for different situations of the system harmonic impedance: Table 2, Under the different running system impedance 11 times System impedance Z Capacitor to exit 1.89-5.19i Capacitor input 0.15-1.53i The capacityof # 2 main transformeris 20 MVA, impedance is 10.02%.
Calculate the reduction to 10 kV side bases of wave impedance is 0.501i, according to the harmonic impedance of ideally calculation method, the harmonic impedance of 11 times is about5.5i.

The device receives the data of vehicle early warning sensors and driver control status of the sensor, and predict the possibility of collision accidents.
(6)calculate rotational speed of motor output == (2-6) Calculated from the design parameters and data, we choose to use a DC permanent magnet motor with gear.
Table 2 Parameters of motor model 45ZY24-25-D/60JB7.5 specified voltage specified current zero load rotational speed specified torque specified rotational speed specified capacity reduction-gear ratio Design and development of intelligent preloaded safety belt controller The hardware is mainly divided into power circuit, minimum system circuit, BDM program download circuit, motor-drive circuit, clutch drive circuit, and each sensor interface circuits.The following describes the controller individual circuit.

Based on experimental data and finite element calculation analysis of the data summarized, analyzed the effect of the reinforced mixing pile bearing capacity is the main factor, and the current recommendations for reinforced mixing pile bearing capacity estimation formula put forward a few suggestions.
T The area replacing ratio of reinforced mixing pile refers to the concrete core pile and cement soil mixing pile section area of cross-sectional area ratio:.The collection of Tianjin University in six small playground on the north side of test[2] [3] [4], Kunming Valley Village heap of core mixing pile test [5] and the reinforced mixing pile composite foundation by finite element analysis [6] [7] of the data, and the three groups of data are analyzed (such as a table 1).
Table1 Bearing capacity comparison of different area replacing ratio of reinforced mixing pile under different conditions Data source Cement mixing pile Reinforced concrete pile Area replacing ratio Averageultimate bearing capacity/KN Pile length /m Diameter /mm Pile length/m Upper and lower diameter of core pile /mm Tianjin University Test data analysis [2,3,4] 8.5 8.5 8.5 8.5 8.5 － 500 500 500 500 500 － － 5.0 5.0 5.0 5.0 8.5 － 180－180 250－100 300－100 400－100 500 0.0 0.13 0.25 0.36 0.64 1.0 160 450 700 650 600 500 Kunming, Gu Duicun Village data analysis[5] 8.0 8.0 8.0 － 10.0 8.5 500 500 500 － 500 500 － 3.5 6.0 8.0 6.0 6.0 － 180－180 240－240 500 240－240 240－240 0.0 0.165 0.293 1.0 0.293 0.293 330 580 946 566 >807 860 ANSYS finite data analysis [6,7] 10.0 10.0 10.0 10.0 10.0 - 600 600 600 600 600 - － 9.0 9.0 9.0 9.0 10.0 － 200 300 360 400 600 0.0 0.111 0.25 0.36 0.444 1.0 250 450 700 650
The results of data analysis on literature [2~7] are shown in Tab.2.
Because of lack of experimental data ,and the influence degree of area replacing ratio and core pile length ratio on bearing capacity related to pile length , properties of soil, etc., which has some discrete.

A new modular design (MD) has been applied to test method for proportional relief valve characteristics, which realized the real-time data acquisition for multi-path pressure signal of automatic measurement & control and hydraulic system for steady state and dynamic state of DBE series proportional relief valve, and conducted analysis such as time domain, frequency domain, visualization and so on to collected data, obtained rather valuable test data and characteristics conclusion.
With good compatibility with virtual instrument LabVIEW software and rather high cost performance, it can effectively improve the whole performance of data acquisition system.
Carry out data acquisition and time-domain & frequency-domain analysis by means of LabVIEW and MATLAB.
Through design improvement and modular processing to the existing proportional relief valve test experiment, this system combines virtual instrument computer-aided test technology with MATLAB software, realizes real-time acquisition to two-channel and four-channel pressure signal and conducts time domain, frequency domain and visualization as well as other analysis to collected data.
Experiments show that, the proportional relief valve characteristic platform has reasonable structural design, compact size, stable performance and good cost performance; the test analysis system is efficient and convenient, the data analysis is reliable, and the test precision reaches the industrial measurement standard, all these lay good foundation for subsequent proportional valve pressure, flow-rate, displacement comprehensive test as well as multipoint real-time synchronous data acquisition.