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Vibration reduction should be achieved by the installation of special anti-vibration mats on the travel layer of the bridge.
For the seismic data processing, including frequency analysis, the programme Swiproject (Vistec) is used.
Evaluation of measured data Measured vibration transmitted through the bridge to the ground is the speed of a mass point oscillation.
When comparing the data analysis during the entrance and the exit, there are some obvious differences in the values of the maximum velocity amplitude of oscillation.
The entire data set was evaluated just in the field of amplitude and will require a more detailed analysis in the frequency field.

A series of model sensitivity test can be performed to ensure that the final data obtained does not affected by numerical or discretization errors.
The aim of this study was to check model sensitivity and in particular, the mesh sensitivity, statistically steady state and sampling data of turbulent flow in a full scale street canyon.
The tests were analyzed based on the data of wind flow field and pollutant dispersion obtained.
For mesh independent study, the data of streamwise velocity at 4 locations were taken along the vertical middle of the street which are 4 m (1), 8 m (2), 12 m (3) and 16 m (4) from the ground.
Sampling period was also taken into consideration to ensure that the time of data sampling is long enough to yield an appropriate average value of velocity.

While national data can provide information on the growth of manufactures and exports in the country, benchmarking enable to make comparisons with similar countries or competitors to place these growth and development trends into context relative to other countries in order to identify country’s immediate competitors, future competitors and the role model.
Methodology In this case study we manipulate both trade and industrial data to compare the countries performance and position in terms of manufacturing.
(ZSGP) is a four year plan of Zanzibar Strategy for Growth and Reduction of Poverty in Zanzibar.
Data Presentation and Critical Analysis.
One of the challenges in analyzing the Zanzibar industrial performance in terms of technology shift is the lack of reliable data for Medium and High –tech manufacturing.

The high resolution EBSD data, collected with a step size of 40nm and 25nm were used also for local texture measurement of the martensite phase and the surrounding matrix.
The data in Fig. 2 are averaged among 5 measurements per sample for the samples reheated at 3000°C/s and 10 measurements per samples for samples reheated at 10°C/s.
This assumption is directly confirmed by the metallographic observation (cf.Fig.3c, d) and the high resolution EBSD data (cf.
However, all the above reported results are obtained in conditions of ultrafast reheating but without isothermal soaking and there are no experimental data about the grain growth evolution in the isothermal soaking after ultrafast reheating.
All texture data are collected by EBSD except the texture of the cold rolled sample Fig. 8a which is measured by X-ray diffraction.

This minimum distance between holes is because that during the trial or in data collection, a hole does not interfere in the final results of another nearby hole.
A fastening system of the body of proof on the dynamometer for effective data collection was manufactured.
With the end of the drilling step and the machining force data, the samples were for the coordinate measuring machine (MMC) for the measurement of roundness deviations.
The manner in which each material relates to generated heat is clear in the data variation of the finished diameter.
E.; Polymer Data Handbook.

According to the investigation of data sheet [6], the data related to decomposition of CaCO3 above 1200K are actually nonexistent, and the result of Differential Thermal Analysis (DTA) experiment indicates that the decomposition reaction of CaCO3 also can occur below a temperature of about 700℃, so it is only required to calculate the Gibbs Free Energy () of CaCO3 decomposition reaction between 900K and 1200K, the reaction equation is shown as equation (1)
Table 3 The experimental data of Xinshan Steel No Hot metal Amounts (tons) Blowing time Final steel Compositions (%) Tempe- rature () Amo- unts (tons) Scrap Lime stone Compositions (%) Tempe- rature () C Si Mn S C Si Mn P S 1 4.33 0.5 0.49 0.018 1318 38.5 --- 2.5 12’30” 0.23 0.14 0.36 0.015 0.021 1674 2 4.2 0.42 0.48 0.020 1324 40 --- 3.0 12’57” 0.10 0.17 0.39 0.009 0.026 1654 3 4.2 0.42 0.48 0.020 1320 38 2 2.4 13’24” 0.13 0.17 0.41 0.012 0.026 1640 Table 4 The compositions of final slag in Xinshan Steel industrial experiments No Compositions Alkalinity TFe CaO SiO2 MgO R 1 16.09 50.44 15.24 7.91 3.31 2 16.69 50.17 14.91 6.47 3.36 3 17.09 49.64 15.89 6.04 3.12 From the results of these industrial experiments respectively inducted in two steel companies, it can be considered that the new steelmaking process with limestone substituting lime is feasible, and there is no splash, which is possibly caused by large amount of CO2 generated from decomposition of limestone
According to the data from Table1 to Table 4, it also can be concluded that the oxygen blowing time remains unchanged, and the compositions and temperature of final steel reach to the required standard.
Qu, “Discussion on Limestone Addition Instead of Lime for Energy-Saving and Emission reduction in BOF Steelmaking”, China Metallurgy (2010), P. 59-62 (In Chinese) [4] H.
Barin, “Thermochemical Data of Pure Substances”, Sci.

If a more accurate DAF can be obtained, then possible reduction in highway bridge maintenance/construction costs may ensue.
This method is probably more convenient than others of modal testing because test can be carried out while the structure is under service loading and the increasing availability of robust data acquisition and storage systems [[] Demeke B.
Ambient vibration testing implicitly assumes response data alone could be used to estimate vibration parameters [[] Williams, C.
Based on the formula of Eq. 1, DAF is computed from recorded data.
If the DAF is to be computed with measured stress data, the obtained results will be more deviation. 3) Vehicle speed is an important parameter influencing the DAF value.

Data Analysis.
Data analyzed with SPSS version 11.0 for Windows.
Our data in Table 1 suggested that the 24 h LC50, 48 h LC50, 72 h LC50 and 96 h LC50 values of deicing salt concentration to Zebrafish were 14.89 g/L, 14.66 g/L, 14.20 g/L and 13.49 g/L, respectively, which indicating that the LC50 values of deicing salt to Zebrafish was gradually decreased during the experimental time.
It is reported that hydroxyl radical in tissues of fish was induced under the condition of pollutant-induced stress, and CAT is responsible for the reduction of hydrogen peroxide to avoid biology being hurt [16].
Our data suggested that the activities of CAT in muscle of Zebrafish increased significantly (P<0.01, P<0.05) at different concentrations of deicing salt in compared with the control group.

Since industrial data acquisition equipment works with discrete-time signals, it is very important to enhance the research by focusing on the discrete-time case.
In addition, as the number of data is increased, which means that data record becomes longer, the number of ripples in the spectral peak will be increasing.
Meanwhile, the peak error reduction performance of another window functions are in between.
Since industrial data acquisition works using DFT, this movements can be used to explain that the frequency error happening in data acquisition is varied Fig. 3 The experiment apparatus from minus a half of frequency resolution to plus a half of frequency resolution.

Methods Data Preparation.
The data used in this study mainly include those concerning the GDP, population, energy consumption per unit of GDP and power consumption per capita in Dongtan during the period 2003-2008, which derived from some relevant research reports and local government departments.
The data processed were used for the scenario simulation prediction and the analysis of renewable energy development status.
As for the power consumption per capita, the numeric values of 362 and 484 kwh per capita, derived from the statistical data, were respectively viewed as the reference coefficients to compute the electricity consumption for urban-rural residents’ life in 2008 and 2020.
The year sequence number 1-6 corresponds to the period 2003-2008, which corresponding vertical axis data are derived from the statistical yearbook and used to fit the regression equation; the year sequence number 7-18 corresponds to the period 2009-2020, which corresponding vertical axis data are the predictive values.