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Compared with the wet processes, the dry process has a slight reduction on anti-cracking and water stability performances.
However, these reduction are under the control of specifications and also suitable for pavement construction.
Compared with HMA, the advantages offered by the WMA may include (1) reducing environmental impacts and improving sustainable development, (2) extending the paving season and allowing a longer haul distance, and (3) welfare of the asphalt worker as a result of the reduction of odor emission [1, 2, 3, 4].
The statistical data showed that using of Sasobit has no negative effect on the mixture’s engineering properties.
Although, compared with the wet process, reduced anti-cracking and water stability performances occurred for the dry process, these reduction are under the control of specification and also suitable for pavement construction.

By comparing with finite element solutions, it has been found that the forming forces obtained by these models deviate at more or less 30% from the numerical solutions under different area reductions.
With tremendous numerical computations, the relationships between forming force and area reduction, sheet metal thickness, and penetration depth, among others are analyzed.
The diversification of area reduction εF is achieved by changing d1.
Each data point in the figure is independently obtained through different combinations of process parameters under the precondition of the same sst.
The figure clearly indicates that there is a good linearity relationship between F and s1. 10 20 30 40 50 60 70 80 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 R2 R2 area reduction εF , % (a) F - s1 (b) εF - R2 Fig.5 Relationship of F - s1 and εF - R2 A comparison of the slopes of line 1~6 with the coefficient (R2πd0Kf0) of s1 in Eq.8 shows an interesting phenomenon, that is, different materials with similar εF exhibit a consistent calculated R2 and R2 decreases with the increase in εF.

Introduction This essay is the subject of national eleventh five support schemes: The analysis of key technology on emission reduction and comprehension utilization of solid waste from large iron ore mine (Number:2008BAB32B14).
Table 2 Granule composition of the tailings Sieve's diameter /mm Cumulative percentage retained 0 100 0.045 95.8 0.075 83.28 0.15 60.84 0.3 31.36 0.6 8.76 1.18 3.96 2.36 2.56 4.75 0 9.5 0 After putting the data of Table 2 into the Fineness Module formula (Standard GB/T14684-2001), we can easily calculate out the tailings' module: MX=1.07.
The data of strength of concrete with standard sand refer with Table6.
The data of strength of concrete with ultra-fine iron tailings refer with Table 7.
Acknowledgements This work was financially supported by the subject of national eleventh five support schemes: The analysis of key technology on emission reduction and comprehension utilization of solid waste from large iron ore mine (Number:2008BAB32B14).

This article describes the development of an automated optimization procedure that allows the matching of a residual stress Target Profile by varying process parameters and tool geometry for a typical aeronautic superalloy, such as Waspaloy, for which a reliable numerical model has been developed for comparison to experimental data.
Using an ”Optimal Latin Hypercube”, the procedure sets up the FE machining model and runs, in batch mode, the AdvantEdge FEM simulations (FE Analysis block) to calculate the process responses of interest for each given DOE configuration; 2. for each considered cutting condition, the data related to the mean values of cutting force, thrust force, maximum tool temperatures are calculated in steady state conditions, while for residual stress the four characteristic points are extracted from residual stress profile (Results Dataset block); 3. using the data extracted from FEM simulations, “RSM Constraint Models” block generates: the cutting forces, the temperatures and the residual stress metamodels that analytically define the problem constraints; 4. after these preliminary steps “ISIGHT Optimization” block runs the optimization algorithm to find out the best configuration of cutting parameters, in accordance with the optimization problem statements and through the MRR objective function
The use of numerical results to optimize cutting parameters provides significant savings of time and costs reduction.
The RSM Models have been created through data extracted from FE simulations performed considering a 64 point Optimal Latin Hypercube Design of Experiments.
However, the monitored Temperature shows a reduction (16%), probably due to the cutting speed and feed decreases.

Now the surface points belonging to the tool tip are chosen and a sphere is fitted to each data set obtained at the different positions.
Quantitative comparison of FEA results to experimental data.
Quantitative comparison of FEA results to experimental data.
With these prerequisites, data sets obtained from measurements can be mapped onto the FE mesh in order to perform a quantitative comparison.
Also, the method can be used for reverse engineering applications, e.g. for optimizing material and friction input data.

Data for the plot were generated from the numerical solution of Eqs. 1 through 8.
Fig. 1B displays the SL data collected on NH4OH/CO2 system at a constant pH 5.7.
The data show a well controlled decrease in SL with increasing CO2(aq) concentration.
Fig. 3 presents experimental data collected on different DMSO-water mixtures.
The data clearly shows that increasing concentration of DMSO decreases SL generation, indicating that free radical scavenging could indeed lead to reduction in SL intensity.

Existing studies dealt with young subjects sustaining fall injuries because a more number of elderly people suffer them, compared with young people, making it hard to obtain fall injuries data of elderly people.
Young subjects participated in actual forced fall experiments, due to their safety, and their body movement data were input onto the human body movement simulation program so as to simulate falls, and resulting shock amounts were measured.
Fig. 1 Contact force measuring experiment on the force plate(left) and simulation(right) The velocity data obtained from the forced fall test performed on the subject were used for the simulation and then analyzed.
As the simulation performed in this study was passive and was performed by exterior actions, only the movement data of the major positions, gravitational force, and impact force occurring when the individual hit the ground were used.
As shown in the figure, the impact force was 760.38 N, a reduction of about 69%.

Due to subjective perception or data inadequacy, the risk priority ranking cannot reflect the reality.
The processing of qualitative data.The method is as follows: Step1.
The data were inputted into computers for analysis.
Aj = [(uj-lj)+(mj-lj)]/3+lj j=1,2,….., n Quantitative data processing procedure .The steps are as follows: Step 1.
(Figure 2) Figure 2 Input data of FMEA FFMEA results.

A “real” 4G air-interface to be developed may support data rates of the order of 100 Mbps at full mobility [1,2].
Let us denote the collection of all data symbols Xn, n=0,1,2,…,N-1, as a vector X=[X1,X2,…,XN-1]T that termed as data block, where N is the number of sub-carriers.
For any given block of data, the PAPR is a random variable since it depends on the data symbols.
This denotes the probability that the PAPR of a data block exceeds a given threshold.
It is shown that an OFDM signal has a PAPR that exceeds 11.4 dB for less than 1% of the data blocks for N = 64.

The CO2 methantion reaction was conducted at 350 °C for 400 min, every 40 min collected a data point.
Data for the Bragg angle from 10 ° to 90 ° were collected in a continuous mode.
The XRD patterns of supported nickel catalysts after reduction as shown in Fig. 3.
The TPR profile of Ni/Al2O3 presented a main reduction peak around 535.8 °C.
[2] Wu Y, Chan C W, A data analysis decision support system for the carbon dioxide capture process, Expert Syst Appl. 36 (2009) 9949-9960