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Reduction of peak force method has many kinds, material selection is one of the important means.
Time（ms） Energy（J） Steel Al alloy Displacement（mm） Impact Load（kN） Al alloy Steel Fig.6 Energy curve of the tube Fig.7 Impact load vs. displacement curve of the tube Table 2 Comparison of results energy absorbing characteristics Peak impact load (kN) Peak load reduction Carbon sheet 311.00KN Aluminum alloy 273.66KN 12% We therefore conclude that the aluminum alloy material crash-box has superior than carbon steel materials crash-box.
However, computer simulation can not completely replace test, it need test data verification and inspection.

Fig. 3 K177 landslide engineering geological profile and monitoring equipment arrangement diagram The rupture surface of the K177 landslide is located in the completely weathered mudstone according to geologic prospecting datum.
Fig. 4 Landslide total deformation cloud map after strength reduction Monitoring data analysis The survey and monitoring equipment embedding work was completed in 2010 July, and began to collect monitoring data in July 22, 32d later, found that ZK2 and ZK3 deformation monitoring pipe were sheared respectively in the depth of 11.0m and 12.1m under the original ground, the temperature, moisture and pore water pressure sensor connections were also sheared, accordingly, judged the landslide had occurred sliding.
At that same time, employed GPS to monitor the tube nozzle moving data.
At the same time, paid attention to the ZK4 monitoring data, vertical and horizontal displacement were very small, but the pore water pressure 8.5m under the ground appeared abnormal change that increased and then decreased, and the peak time was August 23, as shown in Fig. 7.
Based on above data and the occurring and development situation of surface cracks, drew the conclusion that the mountain slope occurred creeping landslide.

During the experiment,we use hammer to knock at the load side, give cushion a outside stimulation,the film gap of cushion and platform could show the changing of dynamic reduction.
Step three, debug dialgauge’s measuring head and connect its output with computer,open software to record data.
Step four , open air supply, test gauge pressure, add weight and wait for experimental installation balance static, then we use the hammer to knock at the weight, meanwhile, computer starts to record data.Attention:we use hammer to load external drive must lightly in order to avoid data sudden change.
Step five, wavelet noise filter is about measuring dynamic film gap data, then we base on formula to solve camping coefficient. 3.1 Two cushion’s experiment process 3.2 Comparison of experiment of elastic cushion and stiffness cushion We use hammer to produce an external drive,then get response curve through removing noise under , load 4kg weight , as follow Figure 6.
Figure 7 Two cushion camping coefficient’s curves with film gap’s change 4 Experimental Result Analysis We can see that it could bring about two problems when camping is less through the experimental data.First,damping time is long about vibration or pound to make the system not to be easily stable.The source of vibration or pound are mainly from external vibration，the vibration cause from moving component motor process;second, gas bearing exists inherent microvibration, fluid induces this microvibration that effects measurement system and control system.When elastic cushion is working, elastic sheet deformation process generates structural damping besides fluid viscosity generating resisting medium.

Because the gray forecasting model uses the method of producing data from raw data, it can wakens the randomness of the raw data and makes the newly forming data having some rule.
Data Selection.
Table 1 gives the data.
The fig. 1 gives more clear comparison between the real data and the forecasting data.
This may be because the oldest data has little relationship with the future data.

The air quality monitoring data from 2010 to 2012 in Chengkou County of Chongqing City in Southwest China was analyzed.The results show that in recent years the air pollutans affecting the air quality in Chengkou County mainly is PM10 and secondly is SO2.
The status and trends of ambient air quality in Chengkou County in recent years were analyzed according to the air quality monitoring data from 2010 to 2012 which could be beneficial to further improve the air quality and develop ecotourism.
Data and methodology The data provided by Chengkou environment monitoring station includes the concentrations of PM10, SO2 as well as NO2 and the air pollution index(API) from 2010 to 2012 in Chengkou County.The station is located at the North street of Gecheng Town in Chengkou County.
Analysis of ambient air quality status in Chengkou County According to the monitoring data the daily average concentrations of PM10 generally range from 0.005 mg/m3 to 0.150mg/m3 and 96.4% of them satisfy the national secondary standard for ambient air quality in China; the daily average concentrations of SO2 generally range from 0.010mg/m3 to 0.150mg/m3 and 98.3% of them satisfy the national secondary standard for ambient air quality in China; the daily average concentrations of NO2 range from 0.004mg/m3 to 0.060mg/m3 and all of them satisfy the national secondary standard for ambient air quality in China.In terms of the annual average concentrations the values of PM10,SO2 and NO2 in Chengkou County satisfy the national secondary standard for ambient air quality in China except that of PM10 in 2010.
spring the temperature rises rapidly and the cold air is quite active;summer is characterized by high temperature, vigorous convective motion and abundant rainfall, which is beneficial to the air pollutant dispersion and clearance; in autumn the temperature falls sharply with frequent raining;winter is characterized by scarcity of precipitation, low temperature and weak air convective motion,and if there is no activity of cold air and the near-surface wind speed is small, then the meteorological condition is unfavorable to air pollutant dispersion.In the past, the heavy air pollution was easily caused by the dust and SO2 produced by burning coal for heating in winter.In recent years Chengkou County has conducted environmental protection and pollution control actively by launching the construction of no coal zone and gradually popularizing using clean energy.It also launched series of special action of environmental protection including dust control as well as energy saving and emission reduction

According to the analysis of on-site monitoring data of wall deflection, settlement, and strut load, some conclusion can be drawn.
This paper describes the conditions at the site, discusses aspects of the design of the retaining structures, summarizes construction procedures, presents field performance data, and draws conclusions.
The field performance data included wall deflection, settlement, and strut load.
Data were obtained daily during wall installation and excavation, and at least once a week after the excavation had reached its final depth.
Ltd. for facilitating access to the data.

In this paper, the electrical energy potential saving of consumption in college has been analyzed and evaluated based on data envelopment analysis (DEA) model method.
The DEA Evaluation of University Power Consumption The Data Envelopment Analysis (DEA) is proposed by A.Charens, W.W.Cooper and E.Rhodes in 1978 [5].
The main principle of DEA is keeping the input and output of Decision Making Unit (DMU) as the constants by mathematical programming and statistical data to determine the relative effective production frontier, each DMU is projected to DEA on the production frontier, and relative effectiveness could be evaluated by comparing the decision unit deviation degree of DEA front surface.
The university of input and output index data is as shown in table 1.
Empirical Study On The Potential Of Energy Saving And Emission Reduction In Colleges And Universities[J].

Robots as autonomous machines facilitate activities that represent high risk to human operators, thus a contribution to industrial safety, cost reduction, effectiveness, quality and productivity can be obtained.
However, due to high number of parameters and nonlinear dynamics of the model, it is necessary to ensure that the excitation signal selected can provide accurate and fast parameter estimation in the presence of disturbances and that the data processing be simple and yields accurate results [1], [2].
By considering the reduction effect by the engine, the Eq. 1 can be significantly reduced for the first joint (waist) by a dynamic representation in terms of inertia and frictions [7]: J0q+B0q+k0q=Km0u0

Many researches were conducted about the energy dissipaters with sudden reduction and sudden enlargement forms.
The reduction ratio (β), defined as the ratio of the orifice diameter (d) of the energy dissipater and the diameter (D) of flood discharge tunnel, is an important index affecting all the hydraulic characteristics.
The data in Table 1 demonstrate that the incipient cavitations number si have hardly changes with Reynolds number Re and are constants approximately.

Therefore, the weight reduction of the components composed of the bogie system is essential for the lightweight design of the railway vehicle.
The use of composite elements for the frame of the bogies gives a weight reduction of approximately 25%, enabling minimization of power capacity, energy consumption and wear.
The finite element analysis result showed a good agreement with the measured data.