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The last step is to access reduction of the money for corresponding lower service.
The model connects with biological and economic resources, using the historical record data of the oil spill incidents, such as wind power, ocean currents, estimating the probability of the oil spill occurrence.
But this analysis model which based on ocean circulation and meteorological joint model can only be used as an analysis tool, not as a real-time forecasting tool because of its use of the historical record oil spill data [17].
The environmental data provided by oil spill risk analysis model are the most comprehensive in all the oil spill trajectory models [18] through three stages of development supplement.
[2] Liao ming-sheng, in: Fluid power calculation of roll reduction fin design, edited by Mechanical and Electrical Equipment, volume 3(1996), p.15-20

In the damage region, analysis structural modal strain energy is used to find the damaged bar by nodes displacement response data acquisition.
is number of data.Comparing the sum of acceleration power spectral density changes of damage bar’s node to these of other nodes, the sensitivity of acceleration power spectral density is obtained
The acceleration response data are divided into periods according to certain frequency range.
Damage extent is simulated by modulus of elasticity reduction.
The damage occurrence region is detected by extracting damage index based on acceleration response data-acquisition of limited nodes

Based on EFA software for hydrokinetics, the inner flow field of all combined diffusers were simulated and the related data were analyzed.
But the trial is real physical testing, data sampling location is six, which can not fully reflect performance of the diffuser of ventilator.
FEA is automatically calculated by the COSMOS/FLOWORKS software, and get large quantity of data.
Inputting the data to software of Microsoft Excel and data processing.
Energy saving and noise reduction of mine ventilator[M] .coal industry press. 1998(4) in Chinese [2] kai Li..

The strain-based fatigue tests of 42CrMo alloy steel were conducted by controlling six sets of total strain range, and stress range data was obtained under each strain range.
The research on data and performance parameter of stress-strain fatigue life can provide reliable and precious information for material choice, mechanical design and fatigue life analysis[5].
After heat treatment, the material obtained from standardized tensile specimens has the following mechanical properties: ultimate tensile strength, yield strength, elongation, and reduction of area is 1100MPa, 940MPa, 14%, and 50% respectively.
In order to guarantee the reliability of test data, the specimens were carefully prepared in machining process.
According to data of cyclic stress range in strain-based fatigue tests, cyclic stress range values were separately obtained under 2/ t ε∆ of strain range by Normal Distribution(ND), Lognormal Distribution(LND), Exponential Distribution(ED), Two-parameter Weibull Distribution(2-PWD), and Three-parameter Weibull Distribution(3-PWD).

The comparisons with experimental data indicate the validity of the proposed method.
Introduction It has been realized that corrosion has a great reduction on fatigue performance of metallic structures.
However, a considerable amount of scatter has been observed in FCG data, and the dispersivity has been changed in the presence of corrosive medium.
Distribution Characteristics of Random Variable X Prediction value of the random variable X in Equ.3 can be obtained by ( )( )dd , iia N K∆ data via the following equation transformed from Equ.3.
Fig.6 illustrated the Pa N− − curves corresponding to 05.0=P , 5.0=P and 95.0=P in the 4 kinds of environments and all experiment data.

One-way analysis of variance (ANOVA) with Tukey’s pairwise multiple comparisons was used to analyze the data.
Data points with the same letters indicate that they were not statistically different from each other.
Data points with the same letters indicate that they were not statistically different from each other.
Data points with the same letters indicate that they were not statistically different from each other.
Data points with the same letters indicate that they were not statistically different from each other.

Comparing thermal performance and indoor thermal environment before and after the improvement of traditional residential building envelope, the simulation result will also be produced by Autodesk Ecotect Analysis, which offered the basic data and theoretical foundation for the sustainable development of traditional residential buildings in north region of Shanxi Province.
As building energy consumption is much higher than construction energy consumption in general, the range of building energy conservation is confined to building energy consumption. [1] Through data collection and statistic analysis of Zhangs’ residential building energy consumption, the following conclusions can be made in Table 1.
Table 3 Building Heating Consumption and Coal Consumption for Heating Indexes (3) Serial Number Item Calculated Value（W/m2） Standard Limit（kg/m2） 1 Index of building heating consumption 16.3 20.8 2 Index of coal consumption for heating 12.7 13.5 The data shows that the energy consumption of the residence has reached the standard level of energy efficiency limits.
Fig. 3 Analysis on temperature of heat-gaining before and after the improvement According to Fig. 3, before the improvement, data points scatter around the white oblique line (the white line stands for relatively ideal temperature range), while after the transformation, data points are concentrated on the white line, which indicates that the temperature tends toward a steadily developed value.
Accordingly, the considerable reduction of building energy consumption and the better indoor thermal environment can be gained, which will finally contribute to the sustainable development of traditional residence in the northern region of Shanxi Province.

The core of the image data processing algorithm introduced in this paper is to extract the data from the three corner points formed after folding as shown in Fig.2.
In reference to Fig.1and Fig.2, the data for corner point B could not be extracted using the above template as different types of folding dislocation require different data processing techniques.
Data Extraction along Paper Edges.
In the rectangular area containing vertical line BC, for example, the data points along the paper edge (the thick line in Fig.3) are extracted and examined point by point, and then the data for the horizontal line is removed and data for the vertical line retained.
In data processing, reduction of the processing load is considered in the processing algorithm design in which the detection of corner points is done through the extracted data points along the edge contour line and line detection is focused on a small area around corner points.

Materials testing - based on appropriate manufacturing and design criteria - is necessary in order to have a reliable data base of the relevant design characteristics.
Information on the influence of chemical composition on creep rupture was obtained by analysing creep rupture data sets.
In steam power plants, resource-saving modes of operation become possible by use of new technologies providing a significant increase of efficiency and thereby a considerable reduction of pollution.
Fig. 1: Trends in power plant technology in the near future Creep behaviour and microstructural evolution of Alloy 617 mod. and Alloy 263 For Alloy 617 mod., a reasonably good long-term data base for base material and welded joints of tubes and pipes obtained by crossweld tests already exists [1, 3, 4].
(T=700°C, 140MPa, 26,700h), a) within the grain, b) at grain boundary Fig.7: Size of gamma prime precipitates as function of temperature and time, Alloy 617 The results of TEM investigations were compared with previous data [6, 7, 8].

One of aluminum's key characteristics is its low density, approximately one-third that of steel, making it an ideal option for transportation applications where weight reduction is essential for enhancing fuel efficiency and performance [2,3].
The increased deformation resistance in the A6063 alloy is accompanied by a reduction in plasticity and corrosion resistance [18-22].
This indicates that the model is responsible for at least 81.63% of the variability in the data for the response.
Conversely, a reduction in Si content below 0.42%, a decrease in temperature below 170 °C, or an increase above 200 °C results in lower HRB values.
A reduction in either component limits the formation of Mg2Si particles, which reduces the barriers to dislocation movement, thereby diminishing hardness.