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The data in the evaluation process should be objective and effective.
Principal component analysis (PCA) is used to realize dimension reduction of the evaluation index data effectively under the principle of minimum total loss.
Based on the four aspects which are data processing, training times, data fitting degree and the evaluation results, comparison between the two models is achieved to obtain the similarities and differences.

(a) (b) Fig. 2 Nozzle pressure field（a. inlet airflow velocity was 0.6Ma; b. inlet airflow velocity was 1Ma） In order to obtain the more accurate analysis results, the output simulated data by Fluent was post-processed by Matlab.
The velocity-time data were obtained through pre-developed trajectory computation program and the simulated velocity-pressure curve was transformed into time-pressure curve.
The velocity-time data was shown as Fig. 3.
The data of pressure varying with wind velocity were obtained at the two openings,and the law of pressure difference varying with wind velocity of the two openings by calculating.
The existence of a relatively stable zone prolonged the time of the pressure difference reduction,which corresponds with the correlative literature conclusions and practical experiences in which shrinking-expanding tube was utilized for pressure regulating[6,7].

Statistical analyses of observed ground motion data could help recognize the mechanism of demolition vibration, and develop efficient measures to reduce its influences[3,4].
Referring to the Sadov's Formula of blasting vibration and depend on observed data of chimney blasting demolition, several similar semi-theoretical formulas with empirical coefficients were developed[5-8] in order to predict the ground motion with vertical PGV.
The hollow triangles in the left graph denote unreasonable data omitted during curve fitting.
This smaller indicated that the vibration decreasing measures, including cross folding collapse style, damping ditches and vibration decreasing dams, had a positive effect on vibration reduction of the building collapse source.
So, more data are needed to find the determinant for the decaying coefficient.

The Finite Element Analysis is an indispensable step in the 3d design.It includes turning the physical model of the structure into mathematical model for calculating finite element, the choice and modification of the calculating program and the processing of the huge information data of the whole progress.
Corresponding analysis can be realized via these data.
CATIA V5 provides a software platform together for two procedures,modeling and analysis; it avoids the data loss of 3D models due to interface problems caused by transfer between different softwares.Finite Element Analysis carrys on accurate analysis of the actual working condition of the submarine self-propelled model and it provides software support for precise design.
Parameter table corresponding to model files should be built up by parametricvariable currently created.And corresponding to standard parts of the same type but different sizes, their parametric data should be added to the parameter table.
It has brought the advantages of great convenience, reduction of error probability and design cycle.

However, semi-rigid connections of steel frame, with its excellent load performance, simple structure, easiness of construction, guaranty of high quality, save of steel for the node， increase of structural damping, extension of the period, reduction of damping, increase of ductility, reduces damage and other favorable conditions， are increasingly paid attention to by steel structure design and application domain both at home and abroad.
And lots of researches and procedures show that the endplate connection with light steel structure housing is a more economical and reasonable node form, and there have been some research achievements [5] .But the data on connection test on the angle research is little.
Pressure sensor is used to determine the thrust jack, 1 # dial indicator arranged in the beam flange to measure the displacement of the beam of control points and dial indicator arranged in the outer surface of column flange and the domain nodes to measure column field rotation and deformation of column web, Pull pressure sensor and the dial indicator to measure the horizontal displacement of beam which is connected with UCAM-70A static resistance data logger can draw P-△ curves directly.
(a)TB—1 (b) TB—2 (c)TB—3 (d) TC—1 (e)TC—2 Fig. 2 The test components node damage photos Two types node test results comparative analysis This experiment measured the main experimental data show in Table 2 Table 2 The main experimental data Specimen number Ultimate load Pu (KN) Elastic limit (KN) Ultimate displacement (mm) Elastic displacement (mm) Node limit angle (rad) The Node Moment of corresponding p（kn·m） TB-1 94.7 53.8 91.7 15.7 0.059 142.1 TB-2 96.3 55.2 110.7 19.8 0.053 144.4 TB-3 95.2 40.4 104.2 11.6 0.046 139.8 TC-1 90.4 46.7 131.7 18.8 0.068 102.6 TC-2 85.9 34.4 142.9 19.6 0.083 98.3 Conclusions (1).From the analysis of flexural capacity of the node, both semi-rigid moment rotation performance can be the non-linear connections, which are both between the ideal rigid and articulated.And what is more， the end plate connection

Because of the limitation of the resource, the demand of the energy and the pressure of the greenhouse reduction, China will continue to safely develop nuclear power.
Methodology and cost data The methodology used here is learned from the reference De Roo and Parsons(2009) and MIT(2011).
The main sources of the unit cost data used in this paper were from MIT(2011), Park(2011), and De Roo(2009).
The cost data of the accelerator is from a market survey.
Table 1 Characteristics of the reactors Reactor parameters PWR FR FR(ADS) Thermal power（MWt） 3300 1358 1000 Electric power（MWe） 1000 600 400 Thermal efficiency 33% 39% 40% Load factor 85% 85% 80% Cycle length(year) 1 1.9 1 No.of batches 3 3 3 Burnup（MWd/kgHM） 55 100 100 Table 2 Specifications for three options Lead time for ore purchase 2 years Lead time for conversion 1.5 years Lead time for enrichment 1 years Lead time for fabrication 0.5 years Loss during each processing in lead time 0.20% Enrichment of UOX 4.50% Optimum tails assay 0.29% Reactor life 60 years Spent fuel pool storage 5 years Table 3 Part of the cost data 　year 　 2007 2013 Discount rate 5% 　 　 Natural uranium $/kgHM 80 90 Depleted uranium $/kgHM 10 11 Conversion $/kgHM 10 11 Enrichment $/SWU 160 180 Fabrication of UOX fuel $/kgHM 250 282 Fabrication of SFR fuel $/kgHM 2400 2703 LWR captial cost $/kW 4000 4505 FR captial cost $/kW 4800 5406 Accelerator captial cost $/kW 86021 LWR O&M cost $/kW 56.44

To detect the viscosity of aluminum alloy, two group of material experiments are conducted[4], and the fractional derivative constitutive model expressed as is employed in data processing, which is popular in visco-elasticity area, whereis the modulus of elasticity, is the coefficient of viscosity, is the order value of fraction derivation[5-7].
ANSYS software is used in this study and the visco-elastic parameters are imported into the ANSYS software by the data fitting function, whereas the elastic shell is imported and calculated by common method.
Obviously, material viscosity plays an important role in vibration reduction.
El-Centro (1940) seismic wave data is selected and the amplitude is adjusted proportionally of three-dimensional seismic loads with taking North-South seismic wave as a standard.
Introduce this three-dimensional seismic wave data into the shell at the same time.

In the complex case, the distributions for the complex variables were often spherically symmetric, so only the modulus was interesting.Thus a nongaussianity measure based on the modulus only was used[12]: (4) where G is a smooth even function, and W is a M order complex-valued vector and, and the data Z is whitened.
Acoustics camera consists of one microphone array, one data recorder, one PC and a software called NoiseImage.
Through FFT to those stored data in 48 channels, they became complex-valued signals in frequency domain.
Considering large data and complexity of frequency components, we set the upper limit of iterative frequency as 3000 while analyzing and processing the tested signals with FICA.
Conclusions 1) Noise signals from excavator engine submit to super-gaussian distribution and meet needs of ICA. 2) Principal frequencies of independent components can be extracted effectively from noise signals by use of complex-valued ICA in frequency domain. 3) By comparing principal frequencies of independent components with the result of modal analysis based on Ansys, noise sources can be found properly. according to the result of noise sources recognition, efficient project was proposed and effect of noise reduction is obvious.

Snow distribution on low-rise roofs and practical analysis method Fanghui Li1, a, Meng Fan1,b, Ming Gu2,c and Shizhao Shen3,d 1 School of Architectural Engineering, Heilongjiang University, China 2 State Key Laboratory of Disaster Reduction in Civil Engineering, China 3School of Civil Engineering, Harbin Institute of Technology, China afhli_2000@163.com, b790693001@qq.com, cminggu@tongji.edu.cn, dszhshen@hit.edu.cn Key words: snow load; snow distribution; building codes; roof surface Abstract: Snow related failures can have significant impact on the safety of people who occupy snow damaged buildings.
Fig.1 Snow load caused the roofs collapse Fig.2 A rink in German was destroyed by snow The present research situation of snow distribution on the roofs The main theory of snowdrifting The snow loads on the low rise roofs were investigated from1940 based on snow data.
The basic process is that arrange some observation dots first and then measure the snow depth by ruler at these points, finally to get the regularity of snow distribution on the roof by statistic data.
Beyers(2003)[9] obtained the related data like wind speed section by observing snowdrift around outdoors modeling of SANAE IV research station in Antarctica.
(2) Wind and snow field measurement around buildings is important for the study of the snow load, and it can provide comparison analysis with the data from wind tunnel test and numerical simulation

Noise reduction techniques are conceptually very similar regardless of the signal being processed, howevera priori knowledge of the characteristics of an expected signal can mean the implementations of these techniques vary greatly depending on the type of signal.
This results in length and time-consuming data preparation and computation.
Firstly, we developed a source program; then by using the input data from previous researcher.The transmission loss can be calculated.
The calculated data is then compared with the published data in order to verify the developed source code.