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Note that the model has been validated using data obtained from industry.
A CF value of 2 for example will indicate that the blade’s creep life increases two fold from its reference operating condition while a CF of 0.7 will indicate a 30% reduction.
Due to confidentiality reasons, the engine data and configuration will not be given.
Not only that the magnitude of the impact weight is the highest, the logarithmic term indicates that the reduction in the blade’s creep life is accelerating.
Bueno, “Creep behaviour of Fe–Mn–Al steel from 500 to 800 °C: Part 1: Analysis of constant-load creep data,” Materials Science and Engineering: A, vol. 483–484, pp. 498–501, 15 2008

Black beans peptide in various system all have certain oxidative stability, in the concentration of 0.04mg/ml to 74.05% clearance of DPPH· , in 0.06mg/ml concentration of OH·clearance rate is 80.48%, 0.08 mg/ml concentrations reduction force is 0.745, and in these three system natural black beans peptide oxidation stability are better than those of contrast VC is strong .
AS: join sample of absorption value, 1.3.4.2 OH· the determination of the ability Methods according to FeiLi.[11], in the 510 nm place measure its absorbance, clearance rate P (%) = [1-(A1-A2) / A0] x 100%; A0: blank control absorption value, A1: join after sample absorption value, A2: sample itself absorption value. 1.3.4.3 Reduction of determination of force The use of QP Hu method[12], in the 700 nm place measurement absorption value, with the size of the absorbance said its oxidation resistance size. 2.
Value (mg/g) A B C Test Value PredictiveValue 1 0 0 -1.68 2.27 2.20 2 0 0 1.68 1.84 1.75 3 1 1 -1 2.05 1.96 4 1 -1 1 2.04 2.05 5 -1 -1 1 1.29 1.49 6 0 0 0 2.54 2.40 7 1 1 1 2.00 2.05 8 0 0 0 2.54 2.40 9 0 0 0 2.47 2.40 10 1.68 0 0 2.19 2.18 11 -1.68 0 0 2.07 1.92 12 -1 -1 -1 2.06 2.12 13 0 0 0 2.15 2.40 14 -1 1 1 1.86 1.83 15 0 0 0 2.18 2.40 16 -1 1 -1 2.10 2.20 17 0 0 0 2.52 2.40 18 0 -1.68 0 2.18 1.99 19 0 1.68 0 2.01 2.05 20 1 -1 -1 2.09 2.22 Tab. 3 Variance analysis of regression equation Source SS df MS F P significant Model 1.22 9 0.14 4.14 0.0185 significant A 0.084 1 0.084 2.56 0.1404 B 4.378×10-3 1 4.378×10-3 0.13 0.7226 C 0.25 1 0.25 7.50 0.0209 AB 0.060 1 0.060 1.81 0.2078 AC 0.10 1 0.10 3.15 0.1061 BC 0.035 1 0.035 1.07 0.3253 A2 0.22 1 0.22 6.82 0.0260 B2 0.27 1 0.27 8.24 0.0166 C2 0.33 1 0.33 10.03 0.010 Residual 0.33 10 0.033 Lack of Fit 0.16 5 0.032 0.94 0.5274 not significant Pure Error 0.17 5 0.034 Cor Total 1.55 19 Analye datas
In 0.04 mg/mL concentrations on DPPH· the clearance rate is 74.05%, at 0.06 mg/mL concentration of OH• of the clearance rate was 80.48%, 0.08 mg/mL concentrations reduction force is 0.745.

For Al alloys many of the required data have been determined in the framework of the European research programme COST 507 [14].
One of the most sophisticated data bases available - including the 15 most common elements of wrought Al alloys (Al-Mn-Fe-Si-Mg-Cu-Cr-Ti-B-Ce-Ni-V-Zn-Zr) and capable of handling quaternary phases like α-Al15(Fe,Mn)3Si - is distributed commercially by ThermoTech [15].
(9) Note that the required microchemistry data, including the particle density entering in the Zener-drag pZ (Eq. 7) as well as the concentration of solids css (Eqs. 3, 4, 9), can be provided by the microchemistry model ClaNG.
The microchemistry data necessary as an input for the softening module AlSoft were computed with the microchemistry model ClaNG.
Obviously, the resulting recrystallization kinetics data agree qualitatively well with the above findings that coiling temperatures in excess of 300°C are required to enable full recrystallization during self-annealing of the coiled hot strip, see Fig. 2.

This methodology compares experimental data with the numerically obtained results.
Therefore, an effective parameter identification strategy based on stress-strain input data should be considered.
The experimental data used in this type of optimization problem is composed by discrete values representing a set of stress-strain measured points, as depicted in Fig. 2.
In addition, the stress-strain numerical results are defined through a curve and interpolations for each experimental point are performed to compare both data.
The hydraulic bulge test results and the experimental (reference) data are in excellent agreement for polar displacements smaller than 35 mm, with a deviation for larger displacements.

Every upper machine adopts RS485 communication to send the data to the master computer.
The experiment data of leakage current is given in Table 1 which is averaged data.
Through comparing the data, this design gives two pre-warning thresholds.
When the data is greater than 90 uA, customers will outage inspection.
The test can divide three components: life test, aging test and data acquisition, data extraction three parts.

The descriptors used for vertical infill panels is the apparent sound reduction index: insulation for airborne noise between different units.
Internal partitions must be characterized by a minimum value of apparent sound reduction index, variable as a function of the intended use of the property.
The apparent sound reduction index has to take into account the sound reduction index of the partition and interactions with the connected structural elements.
A weight reduction between 30% and 60%, which implies lower seismic forces.
Testing set-up and data acquisition system Testing set-up Wireless monitoring system wall height: 360 cm 6 strain transducers for local mesures wall width: 100 cm 1 strain transducer for global mesures tickness: 30 cm 1 load cell 30 kN n. of horizontal joint: 6 weight of infill panel: 1.1 kN/m2 Surface finish: plaster with holder plastic mesh Fig. 6.

We need to have a large number correlation characteristics as the input raw data, on the basis of this, a large number of trainings are taken, and the data features are extracted, finally, the data characteristics correlation processing is completed.
The cloud storage security model of information data is divided into four parts, including the CSP user authorization center, cloud storage server, GPS information data owners and data user.
(1) The authorization center of user information data.
(2) The data information owner.
(3) The data users.

And then, the HVAC models are modified throughout the comparison between the energy consumption patterns and the real-time monitoring in-field data.
This building was built in the 1990’s, so BIM data for this building was not available.
For Building energy performance simulation, the BIM data for the target building was constructed using Revit.
Fig. 4 Convertion process of BIM data In this study, the periode of HVAC control time schedule is 3 days from January 14 to January 16.
Fig. 6 HVAC control time schedule on supply air temperature Conclusion In this study, BIM data for the proposed building was made using Revit.

Fig. 1 Methodology Flow Chart Data Collection and Analysis Value Stream Mapping: The necessary input data such as customer order, customer demand, working hours, break and process cycle time were collected to construct the current value stream mapping.
It was found that the most appropriate mapping method for lead time reduction would be through value stream mapping.
The demand quantity data during January 2016 to June 2016 were collected and given in table 1.
Demand Data Month Year Demand Quantity January 2016 220 February 2016 200 March 2016 220 April 2016 200 May 2016 220 June 2016 200 Table 2.
Based on the existing data the TAKT time was calculated as follows.

Y/T ratio), ductility and toughness, were analyzed based on a large amount of tension coupon test data reported in the available literature.
Besides, a large amount of tension coupon test data and research advances for high strength steels were arranged, the material property features were researched, and the stress-strain relationship model used for the finite element analysis was proposed.
Material Property of High Strength Structural Steels Based on a large number of tension coupon test data, the material property of high strength structural steels is researched from four aspects, including the stress-strain curves, Y/T ratio, ductility and toughness.
Fig. 2 Relationship between Y/T ratio and steel strength [26] Langenberg [5] overviewed the material property of 4 kinds of European structural steels from a large amount of tensile test data, including S355, S460, S690 and S890 steels, shown in Fig. 3.
Fig. 5 Toughness test data of 4 kinds of European steels Based on Fig. 5, it can be found that the transition temperatures of high strength structural steels are lower than those of ordinary strength steels (S355), which means that the toughness of high strength steels is better.