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It is seen that the deviation of the experimental data from the calculated value is less than 5% for all the results of viscosity in Table 2, which also demonstrated that it is feasible to calculate the viscosity of CaF2-SiO2-Al2O3-CaO-MgO slag by FactSage.
According to the experimental data in Table 2, the viscosity equation of component dependency was found to be established as Eq. 1
Based on the calculating data of viscosity in Table 2, the regression equation was tested by analysis of variance (ANOVA), and the results are shown in Table 3.
When the CaF2 was less than 35%, the viscosity of slag presented weak reduction with the increase of CaO.

Results and Analysis Validation of Analytical Methods Wind tunnel test conditions due to limited, in order to ensure the reliability of calculation models and methods, first select a group of experimental data in literature [7] comparing trials.
Literature [7] is given single conductor experimental data, this paper analyzes quad-bundle conductors, so take the upwind sub conductor 1 simulation result that not affected by wake flow compared with test data, as shown in Fig. 3.
Lift formation is due to the level wind that has uniform velocity over conductor, the upside velocity increases lead to reduce the static pressure, and the bottom is just opposite, reduction in velocity, static pressure increases, therefore, an upward lift produced on the conductor.

However, due to the limitations of FLAC3D, all stress-strain data is the data of the cell center.
To investigate the relationship between coefficients a, b, c and foundation depth H and distance D, A functional relationship can be established: .Based on the above calculation data, a, b, c can be described: (6) (7) (8) The correlation function can be described by the above formula.
A Practical Procedure For Searching Critical Slip Surfaces of Slopes Based on The Strength Reduction Technique[J].

The SYSTAT package of statistical programs was used to analyse the available data and measure the interrelationships between pairs of variables.
Reduction of CaO content in the mixture and additional SiO2 and Al2O3 from class-F fly ash has significantly affected the dissolution and polycondensation of geopolymer precursors.
These specimens were preferred for the reason that analyses on setting time, compressive strength and porosity results have displayed consistent movements along with the replacement percentage of source material, hence three data points between control and treated specimens would provide sufficient evidences for this analysis.
Based on the correlation coefficient data in Table 4 and 5, classification of these values is given as follows: · Potentially important: Correlation coefficient between -1.0 and -0.8 or +0.8 and +1.0 · Possibly important: Correlation coefficient between -0.8 and -0.4 or +0.4 and +0.8 · Not important: Correlation coefficient between -0.4 and +0.4 It is apparent in here that role of carbon (C) in the early age development is potentially important to geopolymer system, since it is significantly affecting source material reactivity.

Method of FEM in the Solid work design of Hot Press Machine with waffle profile Remarks on Data below describes the object on both sides of the surface material the most dominant get pressure and also describes the stress on the drive shaft with a force of 1000 N/M on a plate with a suppressor.
[2] Erni Setyowati & Anggana Fitri Sadwikasari, 2013, Building Material Composition Influence to Sound Transmission Loss (STL) Reduction, International Journal of Advances in Materials, Processing and Manufacturing, Scopus indexed, Trans Tech Publications, 242-247
Time Server Standars for Arcitectural Design Data.
[14] Callender, 1974, Time Saver Standars for Architectural Design Data, Fifth Edition, Mc.

At specified regular interval load Vs displacement data were obtained during the cyclic fatigue test.
The significant steep reduction nature of curve is attributed to three regions of fatigue mechanism of failure.
The endurance limit obtained from S-N curve data is 20.02 MPa.
The endurance limit obtained from S-N curve data is 20.02 MPa.

Fatigue data, in the form of stress vs. cycles to failure (or) strain vs. cycles to failure (or) fatigue crack growth rate data is used to predict the residual life.
Often the quantity of material available for generating fatigue data is limited, especially, if the material is scooped out of existing component of a power plant.
This has prompted us to develop test procedures to determine the fatigue data of materials from a limited volume of material.
This poses restrictions on fatigue data generation for in-service components.
The force and displacement data was acquired at a data sampling frequency of 20 Hz and it was continuously monitored.

Moreover, the data acquisition setup is not economically viable.
Tests were conducted on pipe sections under a variety of load conditions including internal pressure, axial compression, bending, and local buckling, and test data was monitored remotely through internet access.
The corrosion rate can be identified using the soil corrosivity data.
The observed data can be used to calculate the present safety factor of the system.
A source separation technique for processing of thermometric data from fiber-optic DTS measurements for water leakage identification in dikes, IEEE Sensors J, vol. 8, no. 7, pp. 1118-1129

Utilizing the data gained from finite element studies conducted by others, the method extracted for measuring the critical buckling load is illustrated for a broad variety of section measurements.
As such, since a reduction in the shear stiffness was found, these columns suffer greater decreases in their buckling ability.
While the second additive material was (Hyperplast PC200) is a superplasticizer 3rd generation for mortar and concrete as a High-Ranges Water Reduction Additives (HRWRA).
The data was automatically obtained using a method for data collection Fig.
Majdi et al., ‘Experimental data on compressive strength and ultrasonic pulse velocity properties of sustainable mortar made with high content of GGBFS and CKD combinations’, Data Br, vol. 31, p. 105961, 2020

The enhancement of strength is closely connected to the reduction of sheet metal thickness.
Compared to the nominal angle αnom of the tool active parts, the measured springback angles Δα can be calculated with formula (1): (1) For comparison of the springback values, the arithmetic mean of the springback angles Δα of each data set is to be calculated with (1): (2) Another statistical approach for looking at the springback angles consists of evaluating their statistical dispersion within a data set.
It is a general observation that can be seen over most of the data sets that the springback Δα reduces with increasing stroke rates.
This data set corresponds quite well with what can be expected due to the mechanical properties.
Fig. 5 presents the example of two data sets.