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Data Source.
The data of this study mainly come from the published literatures and the production process investigations of Chinese representative graphite enterprises.
The data source of auxiliary materials production are shown in Table 1.
Table 1 Data source of auxiliary materials production.
These emission data are estimated according to the related literatures [15,16].

Take a scaled model of the reticulated shell structure as an example to analyze, the cross section of one member supposed to have a slight damage of stiffness reduction.
Results of the numerical analysis indicate that the difference of wavelet transform coefficients of modal curvature can be used to locate damage roughly, while the wavelet transform coefficients of modal curvature difference can be used to locate damage more precisely with easier and more reliable data processing.
Damage cases is to weaken the rod 35, which the stiffness of the cross-sectional size reduced toΦ41mm×2mm (equivalent to 24% reduction of the section stiffness).
On this base, process and analyze of the data using the wavelet transform, which can make the signal “zoom in” and interference of some the useless information.

This coupling strategy will be applied to the simulation of rolling processes, at different reduction rates, in order to estimate the evolution of the mechanical properties.
Our numerical results are compared with experimental data in the case of ferritic steels produced by ArcelorMittal.
This technique will be applied to simulate rolling processes, at different reduction rates, and to estimate the evolution of the mechanical properties.
Then, these polycrystalline results are compared to experimental data and Abaqus calculation.

The modification of the pore structure and the reduction of the macro-pores in the composite resulted in higher mechanical and thermal properties than the conventional CVI counterpart.
The increase of the thermal and mechanical properties could be attributed to a modification of the pore structure and a reduction of the macro-pores in the WA-CVI composite [3].
The WA-CVI composite, however, reveals a higher irradiation resistance, at least a smaller degradation in the mechanical properties although the data scatter is rather large.
The modification of the pore structure and the reduction of the macro-pores in the composite resulted in higher mechanical and thermal properties than the conventional CVI counterpart.

The possibility of weight reduction of the cars in combination with the good formability and high in-service dent resistance of these alloys, make them a favorable material for body panel applications.
The hemming experiments are performed in laboratory conditions and the results are discussed together with the data obtained from crystallographic, microstructural and textural investigations.
Excessive amounts of Si are usually added to these alloys in order to improve their precipitation hardening during the paint-bake process, which enables further downgauging and weight reduction while maintaining sufficient dent-resistance [1].
EDX is employed to identify the local chemical compositions and EBSD scanning is carried out in order to obtain data of grain sizes, grain boundaries and crystallographic orientations.

The alloy was rolled at room and cryogenic temperatures, and uniaxially compressed at room temperature and temperatures of 600-1100°C with different height reductions.
Extensive refinement of the microstructure occurs as the result of rolling with reduction of 80%.
The compression was performed to height reduction of 75% corresponding to true strain of ≈1.4.
At least 10 measurements per each data point were performed.
Rolling to 80% reduction at room temperature after forging increases yield strength to 1320 MPa but decreases ductility to 13%.

Energy consumption data is the basis of building energy conservation.
Different calculation methods will lead to different data.
It establishes the decision tree based on the information included in historical data and forecasts the data based on the established rules.
Assume the sample set T includes m categories of data, then
Summary This paper puts forward the global modeling method of building energy consumption data.

However, the use of these mechanisms needs to ensure the credibility of achieving a reduction in greenhouse gas emissions.
This methodology for estimating greenhouse gas emission reductions during the rehabilitation of the building was developed and based on data on the physical processes of heat exchange and transformation of heat flows in the enclosure structures of houses and in heat consumption systems, taking into account regulatory requirements for structures and engineering systems, as well as the methods of their calculations.
Summarized and justified three possible types of errors that influence the correct data of energy efficiency.
References [1] Based on data of State Agency on energy efficiency and energy saving http://saee.gov.ua/uk/ae (assessed 24.10.2017)
[9] Methodology of estimation greenhouse gas emission reductions after building reconstruction [Valid from 12.07.2010].

It can be seen that the rutting factor undergoes significant attenuation as the speed reduction, which has declined by 24% to 66% and 78% to 91% under 32km/h, 8km/h compared with that of 80km/h, respectively.
The preceding analysis reveals that the long sustained slope sections usually suffer frequent rutting failure, manifested principally in speed reduction and horizontal loading increase.
Moreover, the altitude has certain impact on the climbing performance of trucks due to higher altitude will result in the reduction in the engine power, affecting the speed of vehicles. ④The increase in traffic volume will affect the traffic capacity in the long sustained slope sections, and thus will affect the running speed. 3) Developing truck speed prediction model Mathematical statistics was performed for the observed speed data, and calculate the speed value under different percentages, which shall be compared to the corresponding theoretical results and correct the theoretical calculations.
Afterwards, it should derive the basic parameters of speed prediction model based on the analysis of a large number of data, so as to establish a preliminary speed prediction model.
Based on the analysis of a large number of data, it has ultimately proposed the delimitation criterion for the long sustained slopes.

Data reduction strategies compensating for closure and Kmax effects on crack growth and design curves will be presented.
Long fatigue crack growth curves for all studied alloys tested at R=0.1:(a) DKapp data and (b) DKeffdata after adjusted compliance ratio (ACR) [3] closure corrections.
Stress Ratio, Initial Crack Size,and Kmax Effects on Fatigue Crack Growth Data and Design Curves.In Figs.6(a,b), stress ratio,Kmax, and microstructurally small crack effects are shown for the cast A535-F (450μm) alloy.
(a,b) Stress ratio, Kmax, and small crack effects; (c,d) data normalization and prediction.
The data were normalized to incorporate Kmax effects, Fig. 6(c), and design curve predictions were made in Fig. 6(d).