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The distribution functions of these variables are determined by statistical methods based on data collected from field and laboratory tests.
This method is used worldwide[6,7,8] because it inherits the reliability level (or probability of failure) of the current code, and develop a reasonable target index by calibrating the implied index with statistical data collected from engineering practices.
These coefficients were determined by an expert panel according to related historical data and engineering judgments.
The resistance reduction factor is selected mainly based on data collected in routine inspections, and in most cases, field test is optional.
The resistance reduction factor is computed based on data collected from both annual inspections and field tests, and load test is required when the ratio of load effect to resistance is between 1.0 and 1.2.

The Data Mining technology brought forward.
Data mining, also popularly referred to knowledge discovery from data (KDD), is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories, or data streams.
Through data mining technology, we can solve these problems to some extent, so that soldier's result data can be used in the greatest degree and more information for the organization of training can be provided.
In the aspect of data integration, we make forces’ soldier as research object, to get the fitness and skills survey data of related soldiers through statistics on results, to get the basic situation information and result data according to existing "Military Information Management System".
Before data mining, we preprocess the data with data cleaning, conversion, reduction and so on.

Society and the authority is laying higher attention on lightning protection and disaster reduction.
Development of the platform and its key technology System Structure Data collecting & processing system based on tablet PC takes use of intelligent terminals for on-site data collection and process, and data collected is sent to lightning integrated business platform for further handling.
Integration of mobile data collecting system and business platform is shown as Fig.1.
Reports output module is for forms inquiry, data statistics and forms display.
Mobile data collecting system contributes to standardization of LPD inspection business, avoiding massive repetitive input of original data.

Results of this study provide the basis for the vibration and noise reduction design of the locomotive cab.
Main test equipment Serial number Equipment name 1 Artemis Analysis Software 2 HPS IV digital playback system 3 Acoustic sensors 4 Artificial head (ears) 5 SQLab Ⅱ{TTP}8545 Multi-channel data acquisition recorder Test equipment.
Research on noise reduction countermeasures Noise sources control.
Design a streamline locomotive cab, while reducing the body's rugged place, to reduce aerodynamic noise; Spray damp slurry to the inner wall of the train body for reducing the vibration; Design flexibility wheels to reduce effects of wheel-rail noise for the locomotive cab; Make a noise reduction design for the main devices of the locomotive cab, such as increasing manufacturing precision, reducing the installation clearance and deviation; Install vibration reduction pads for the main devices to reduce the noise which caused by vibration of the running devices.

In article the structural analysis of power consumption of the building of house series 1-528 KP is carried out, on the basis of the analysis of actual data of heat consumption and the carried-out tool energy audit the data, allowing to estimate a condition of systems of heating, power supply, water supply are obtained.
The calculation of the specific thermal value of the building Based on the data shown in Tables 1, calculation is made of the basic value of the required resistance to heat transfer of exterior enclosing structures .
The comate of Leningradskaya has been chosen as the initial climatic data for design (the calculation is based on climatic variables of Kolpino town (Table 1)).
The number of degree-day of heating season for residence buildings situated in the territory of Leningradskaya area is 5221 °C·day (see data in Table 2).
Then the operations expenses reduction (loss of the heat power in 1 m2 within one heating season) after the thermal insulation of the outer walls will be: ΔO = (U1 –U2) ∙ 0.024 ∙DDHP∙CТ/1163 = (1- 0.31) ∙ 0.024 ∙ 5221 ∙ 1351.25/1163≈ 97.1 (rur/m2).

EBSD data were obtained using an HKL-Channel 5 system.
Fig. 3(a)~(d) show the microstructures of different thickness reduction.
With higher thickness reduction, grains deformation levels increased.
While the reduction reached 80%, martensite lath was broken into blocks.
Origin Pro program was used to fitting the data, aiming at establishing a quantitative model of martensite content and deformation amount and temperature.

The effect of temperature causes a progressive reduction in both the stiffness and the strength of material.
Because of reduction of both the strength and the stiffness of the matrix, polymer composites exhibit more deflection and premature failure is unavoidable.
Both temperature and humidity were monitored and measured using calibrated Digital Hygro-Thermometer which was connected directly to the data acquisition system.
Strain Diagram for (a) Room-Temperature Creep (b) high-Temperature Creep Creep response data was measured using isothermal tests at constant stress levels.
The resulting data is reported as strain versus time curves.

All the data are get after the smoothing process.We use SPSS statistical software to process the statistical data.
The speed decreases as early as in the last two step touching the ground and leaving the ground, the average reduction is 0.10m/s.
The average reduction is 0.06m/s.
The leaving ground angles of the last two steps are 0.2 and 3.1 degrees greater than those of foreign players, the last two step showed no significant difference (P> 0.05), but the last one step shows a great difference (P <0.05). the leaving ground angle will contribute to reduction of the horizontal pushing strength. thus affecting the speed of recovering the speed in the pushing stage.
The value of the landing angle and take-off angle Last two step Last one step Landing Leaving Landing leaving Domestic Players( x ) 85.5±2.95 63.1±2.8 72.70±3.4 62.1±3.2 Foreign Players( x ) 86.2±2.9 62.9±2.6 77.80±2.90 59±3.10 difference －0.7 0.2 －5.1 3.1 P ＞0.05 ＞0.05 ＜0.01 ＜0.05 The influence of the landing angle and leaving ground knee angle on the speed In current documents and data, very few literature studies the influence of the landing angle and leaving ground knee angle on run-up speed.

Through the paleontology, lithology combination data,For Weihe basin Gushi hollow Tertiary the Zhangjiapo group unified hierarchical total divided into seven sections.
On the basis of investigation: application now core, logging, outcrop data, the sedimentary cycle theory, the Gushi hollow area third Zhang slope formation of comparative studies[4].
The study on sedimentary facies On the basis of absorbing the previous research results, combined with solid, Gushi hollow Zhangjiapo group actual core data and the field of engineering data, research indicate that the Weihe basin is a sedimentary background of city of Zhang Jia Po group is fixed in a shallow lake - deep lake, shallow lake[2].
In this study mainly uses the curve amplitude, shape, top and bottom contact relationship, smooth, curve form combination type parameters, and closely combined with core and cuttings logging data.
Weak reduction environment located in hypoxia, transition area is shallow lake and deep lake.

The difference between data obtained using the experimental model and the data obtained by computer analysis is less than 5%.
Computer modeling data: rotation angles and angular velocity Experiments The prototype model for experimental studies is shown in Fig. 4.
Smoothing [6] is applied to obtain acceptable accelerometer output data (Fig. 5).
Therefore, it is possible to increase the driving link rotation angle from 180° to 240°to obtain correct data.
The difference between the data obtained using an experimental model and the data obtained by computer analysis is less than 5%.