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However, maximum compressive strength was found for a determined BFS content value in the geopolymers, so that a clear reduction of this parameter was appreciated when the BFS content increased above this value.
Mineralogical composition of fly ash and blast furnace slag (wt%) Amorphous phase Mineralogical composition [wt %] Quartz Mullite Calcite Leucite Hematite Anhydrite Microcline Other FA 85 4.6 10 <0.1 - 0.5 0.2 0.1 <0.1 BFS 77 2.3 10 6.8 3.5 - - - <0.1 The high content of SiO2 and Al2O3 of fly ash and the high CaO content of blast furnace slag may be stressed when the data in Table 3 are analyzed.
However, a reduction in the compressive strength of the geopolymers is observed when an excess of BFS is used.
Geopolymers are not affected by the hydration process in the same way as the Portland cement matrixes suffers when are cured in water, so it is possible that in this case the compressive strength reduction could be due to an infiltration effect favouring by the geopolymer porosity. 4.
Conclusions The influence of BFS content on certain properties of fly ash based geopolymers is analyzed in this paper, the main conclusions being the following: § There is a maximum BFS content for which the strength is the maximum, leading to a reduction in resistance when the BFS content is increased just above this value

The data was then fitted to the Cowper-Simmons [1] relation with the D and q values given.
While material data and joint design guides are readily provided under static loading conditions[5,6], the information regarding the high strain rate behaviour of welded joints is not so widely available, particularly when considering the actual filler materials.
To a certain extent, the lack of available data results in the ignorance of the differences in the dynamic strength of the base and weld materials, as in many finite element modelling where welds are treated as having the same property of the rest of the structure members.
Though there are analyses specifically for welded joints[10], such as those on spot welds in car panels for crashworthiness study, material data is rare, and often, the welds are treated as structural elements, rather than materials.
The lower beads of weld have all been individually re-heated due to the subsequent layers of weld, which of course causes microstructural changes such as recrystalisation and grain size reduction.

Although the RCM method is a very rapid test method which provides data on the chloride diffusivity within a few days, this is not good enough for the regular quality control during concrete construction.
If the quantity of such control measurements was sufficient to produce reliable statistical data, this simple approach was considered adequate for the regular quality control and quality assurance during concrete construction.
Based on the achieved chloride diffusivities after 1 year of site curing combined with the achieved site data on concrete cover as new input parameters, new durability analyses were carried out for each concrete structure.
For the concrete structure in Part 6, it should be noted that the in-place data on achieved chloride diffusivity were based only on concrete cores from the separately produced dummy element.
These chloride diffusivities combined with the achieved site data on concrete cover were used as new input parameters to further durability analyses.

These data indicate that the degree of Li/Ni cationic disorder in L1.20Na0 and L1.20Na2 were almost the same, but comparing to Li1.20Na0 and Li1.20Na2, it was slightly increased in L1.18Na2 as a result of Li+ reduced, which lead to Ni tend to occupy the position of Li because of the similar ionic radius of Li+ and Ni2+.
Basing on these data, it can be inferred that added Na+ mainly located between transition metal layers.
XPS spectra of (a) survey spectrum, (b) Na 1s ,(c) Mn 2p, and (d) Ni 2p Figure 4 displays the electrochemical properties of L1.20Na0, L1.20Na2 and L1.18Na2 cells, and the corresponding data were listed in table 1.
These data confirm that Na+ doping or substitution can enhance initial discharge capacity and coulombic efficiency as a result of the increased of lattice layer spacing, which is beneficial for the diffusion of Li+.
Suppressing Mn Reduction of Li-Rich Mn-Based Cathodes by F-Doping for Advanced Lithium-Ion Batteries.

The study indicated that the inclined roof created various pattern of daylight reduction levels.
The weather data used for the simulation study was from an average of 21 years of weather data from the weather station of Penang Airport in Bayan Lepas.
Therefore to provide more reduction, double polycarbonate glass was also tested and showed its significant heat reduction compared to single polycarbonate (Figure 9), with maximum temperature recorded on 14th of March at 04:30 pm as 32.99°C and minimum 25.70°C.
A simple passive skylight system was applied in a typical Malaysian room to produce different data for several orientations, glazing materials and sizes.
Furthermore, the data showed that double polycarbonate deliver more natural light than normal single glass because of air insulation.

Data includes curvature, voltage, current, and resistance outputs.
For the curvature sensor readings, a linear interpolation function was employed, utilizing known curvature and voltage data from Figure 8.
Ultimately, both sensors operate simultaneously, providing real-time data in tandem and enabling synchronized monitoring.
Table 2 shows the numeric data of the experiment.
According to the graph, large reductions in pressure lead to significant reductions in curvature.

Stiffness Matrix Adjustment Using Mode Data.
Updating of A Model and Its Uncertainties Utilizing Dynamic Text Data.
Updating Model Parameters from Frequency Domain Data via Reduced Order Models.
The effect of Close or Repeated Eigenvalues on the Updating of Model Parameters form FRF Data.
Finite Element Model Updating Using Frequency Response Function Data—Ⅱ: Case Study on A Medium-size Finite Element Model.

Since Co is a 3d fast diffuser transition metal, its introduction in the production line creates a potential risk of cross contamination with possible subsequent yield reduction.
The literature datum of a cobalt-related electron trap [3] is also shown for a comparison, and it is observed that the peak E1 in Fig. 1 reasonably corresponds to the extrapolation of the data.
However, the emission rate data we obtained are very scattered, suggesting the presence of more levels, maybe a band of levels which we cannot correctly separate from the two main levels.
Finally, from an extrapolation of the SPV response a practical LLD can be estimated from data plotted in Fig. 6.
This study has highlighted the strong reduction in Ldiff caused by Cobalt contamination that can be observed on both p-type and ntype silicon wafers.

This paper uses the trend for year 2010 and 2011 data provided by the Department of Civil Aviation of Malaysia in the analysis.
This is mainly due to the reduction of pressure-sensing accuracy of barometric altimeter above that level.
Traffic Sample Data and Height Deviation Report This paper uses the traffic sample data (TSD) from December 2010 and height deviation reports in 2011.
A GMU is portable, contained in a 12x29x26cm sized case containing 2 independent GPS receivers with 2 separate antennas and a device for storing the GPS three dimensional positioning data.
Acknowledgement Our greatest appreciation is to the DCA Malaysia for the assistance in terms of support and data for this research.

The fundamental frequencies of input Mandarin speech of tone 1 are first retrieved from the training data and then a threshold value relating to standard deviation of fundamental frequencies is determined.
sampling rate: 8kHz bits per sample: 16 encoding type: 16-bit linear PCM max data length : 160,000 samples Linear gradient algorithm This study used the generated fundamental frequency to analyze data characteristics in order to obtain the recognition algorithm, and calculate the pitch contour linear gradients of four tones.The tones are shown in Fig. 1.
Therefore, the silence part is removed beforehand, and the Silence Reduction is shown in Fig. 2.
is the average value of fundamental frequency in case of various frame, as calculated by the following equation: (10) fi is the tone fundamental frequency data value, The calculation of standard deviation represented by Rs is as follows: (11) Rs is the standard deviation of the fundamental frequency data values, m is the number of fundamental frequency data.
Tone 1 can be recognized from the minimum accumulated value by calculating the accumulated standard deviation of data.