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In the service of the pipeline, the stress in the dent area exceeds the yield strength, which leads to the plastic deformation of the pipeline, resulting in necking and thinning, and the reduction of wall thickness further leads to the decrease of ultimate internal pressure, until the ultimate bearing capacity of the dent area is less than the internal pressure of pipeline operation, resulting in burst.
The thickness reduction was 80.4% of the original wall thickness.
The measurement results of the appearance and geometric dimension of the failed pipe showed that serious wall thickness thinning occurred at the upper end of the pipe body at both sides of the burst from 10 o'clock to 2 o'clock, and the closer to the burst, the greater the wall thickness reduction.
According to the data, the operating internal pressure of the week before the pipeline failure is shown in Fig. 8.
The reduction of the wall thickness further leads to the decrease of the ultimate bearing pressure until the ultimate bearing capacity of the concave area of the pipeline with dent is less than the internal pressure of the pipeline in operation, resulting in burst

Those two processes enjoy a significant reduction in BOD, COD, TDS and TSS.
Physical assessment of leathers Tab. 1 Physical testing data of control (C) and two experimental leathers (E1 and E2) Parameter E1(2709+hydrosulfide) E2(3942+peroxide) C Tensile strength/( N﹒mm-2) 25.3 24.5 25.8 Load elongation/(%) 34 31 27 Elongation at break/(%) 86 81 72 Tear strength/（N﹒mm-1） 75.5 70.4 60.3 Grain crack distention/（mm） 17.3 16.8 15.1 The physical properties of crust leathers from control and two experimental systems are shown in Table 1.
The results showed that substantial reduction of BOD, COD, TDS and TTS existed both in two experimental systems (E1 and E2) compared with the control.
Hence, the advantage of the two protease dehairing systems lies in the reduction in the pollution load as is evident from this investigation.
Those two processes enjoy a significant reduction in BOD, COD, TDS and TSS.

Hence it can be concluded that reduction of particle size of ginger rhizome into nano particles using a wet milling process enhanced its antioxidant activity as compared to micron and submicron particles.
Particle size reduction improved solubility and increased dissolution rate of poorly water-soluble active pharmaceutical ingredient [1].
One-way analysis of variance (ANOVA) was used to analyze the data using SPSS statistical software (version 21 SPSS Inc., USA).
When the breakage point reached, the granules break into pieces, which lead to particle size reduction.
Thus, particle size reduction through wet milling process exposed the active compound to the surrounding which lead to greater ABTS radical scavenging ability.

The experimental data acquisition front-end for modal analysis and the data processing software-LMS Test.Lab impact testing are also adopted.
Lab’s PolyMAX algorithm uses FRFs data as the original data, while Least square complex exponential method of inverse Fourier (LSCE) used pulse response of FRFs transform as the original data.
After choosing the measurement data and the bandwidth, summation method was selected to display each data collection point of data Run a1 (red curve).
Fig.8 shows the first-order mode shape of data Run a1.
Reduction of structural frequency equations .

From the house price data of Huanggang city in recent five years, we use this prediction control model to predict the development trend of housing price in the next five years.
In this paper, based on the grey system theory, we present a prediction control model of housing price based on GM(1, 1), and let Huanggang city as an example to predict the housing price in the next five years on the basis of house price data of Huanggang city in recent five years.
The house price data of Huanggang city in recent five years forms the following original sequence x=(1600,1900,2400,3100,3150).
(2) Construct the data matrix B and data vector Y.
Thus, in order to improve the precision, we can modify the value of parameter a, and then we can get the optimal prediction curve which inosculates with the original data.

According to the research for carbon emissions of construction land in the "Research on the carbon emissions reduction effect and regulation of land use planning"[2], the accounting standard for carbon emissions of construction land has been obtained.
A more detailed description figure of developed model is shown in Fig.1: Carbon emissions data Economic dvelopment related data Linear Program model The constraint conditions of objective function Low-carbon regulation schemes determination Markov model The scale of buildable land prediction based on low-carbon limited The actual scale of buildable land The determination of land renovation scale Fig. 1.
Data sources.
The research data included: data of land use change in Guangzhou in 2004-2008, the second land use survey data in Guangzhou in 2009, statistic yearbook data in Guangzhou in 2004-2009, and environment quality report data in Guangzhou in 2004-2009.
Bell: An exploration of the technical feasibility of achieving CO2 emission reductions in excess of 60% within the UK housing stock by the year 2050.Energy Policy.33 (2005) 1643-1659

It’s own library functions can be used the power of simple programming, in iterative calculations and data fitting, etc. which is of the complex chemical process.
In the Excel worksheet, in column A enter variable characters of the known variables Zbutane, Zpentane , Zhexane , F, T and P in turn, and in column B enter the known data of the above variables.
Then, do the data processing and analysis in the corresponding range of cells respectively.
In the Excel worksheet, in column A enter variable characters of the known variables Zbutane, Zpentane , Zhexane , F , V/F and P in turn, and in column B enter the known data.
In the Excel worksheet, in column A enter variable characters of the known variables zbutane , zpentane, zhexane , F, P and the recovery rate of pentane in turn, and in column B enter the known data.

Critical strain and stress for DRX has been characterized using experimental data.
The experimental data have been used to identify the critical strain for DRX initiation.
Standard equations were used to convert the load-stroke data to true stress-true strain data after subtracting the machine compliances.
From the analysis of the data it is noticed that ec decreases with increase in deformation temperature.
The marked reduction in KAM value with increasing temperature is due to reduction of local misorientation gradient.

Comparison analysis shows that the simulation results are in good agreement with the data of experiment tests.
The calculation results *.rs of ANSYS needs to be transformed the *.fre data file which can be accepted by SYSNOISE.
The results show that sandwich damping structure can effectively reduce noise reduction.
Reduction of Vortex shedding noise in idling circular saws using self-jets of air through saw teeth.

Introduction Acupuncture treatment of adolescent myopia by collecting data related to inspection by the human eye changes of key data indicators, digging out the implicit treatment of the data within, between efficacy and the patient's own conditions, multiple hidden many conditions associated and this association beyond the ability of artificial selection and statistics.
Data Collection Before treatment, a detailed "survey" questions and answers.
Today, data mining technology from a large number of, incomplete, noisy, fuzzy, random data, extracting implicit in them, people do not know in advance, but is potentially useful information and knowledge.
Table 2 Core Yang Wei maximum eye examination tables index (2)To standardize the data Table 2 in the data value for each attribute, in addition to Table 1 for its corresponding data value for each attribute, so that the data in Table 3 for each value in [0,1] range, and format for the 2 digits after the decimal point.
Obtained after reduction: Y’=0.149-0.172X(6)’+0.0092X(7)’