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For the 30% glass replacement was applied there was a reduction in the compressive strength at both ages 7-day and 28 day ages, as for 7-day age the reduction was 6.39% whereas at 28-day age the reduction in compressive strength was 8.8%.
The reduction is compressive strength can be explained as a result of two causes; the first cause is that the glass wastes has smooth surface compared to the normal aggregates and that leads to the decreased bond between the particles and the cement matrix and with increasing the percentage of glass the reduction in the compressive strength increases.
But overall, the reduction in compressive strength can be considered as insignificant one as the highest reduction percentage was less than 10% ( at 30% replacement ratio).
Compressive strength at 7-day age Type of specimen Weight (kg) Compression Test (KN) Compressive stress (MPa) Average (MPa) Control 8.200 567 25.25 23.77 8.032 532 23.64 8.11 505 22.44 10% Replacement 8.396 582 25.86 25.77 8.264 568 25.24 8.242 587 26.08 20% Replacement 8.170 567 25.2 25.35 8.249 592 26.31 8.240 549 24.4 30% Replacement 8.196 522 23.2 22.25 7.988 448 19.91 8.146 532 23.64 Although there was a reduction in the compressive strength for all mixes with glass wastes, but the reduction was minor as the maximum reduction occurred did not exceed 10%.
Sadiq (2018), “Experimental data on flexural strength of reinforced concrete elements with waste glass particles as partial replacement for fine aggregate”, Data in Brief Journal, Vol. 18, pp. 846-859

They are compared with those of virgin specimens, showing significant increase of hardness, tensile and yield strength and remarkable reduction of elongation and ductility for shocked specimens.
Typical measurement results of Vickers microhardness distributions in the cross-section of a recovered specimen plate of A2017/TP10MT10 5[mm] EEEExxxxppppllll oooossssiiii vvvveeee(((( PPPPEEEETTTTNNNN)))) SSSSiiii ddddeeee Center 0 5 10 15 20 25 120 130 140 150 160 170 180 190 200 Location from center [mm] Hv 185.1 164.3 186.3 166.7 185.7 165.7 186.9 163.8 191.7 176.6 199.3 178.9 Average data Experiments Average data of virgin material A2017-T4 TP10MT10 Figure 4.
In the tensile tests, tensile strength Bσ , elongation λ and reduction of area ϕ (RA) were obtained measuring breaking load, elongated length between two Vickers indentations with distances of gauge length L and section area, which showed very small reduction as shown in Fig. 6(a).
Figure 8 represents all the data of fracture ductility fε and proof stress 2.0σ obtained from the tensile and compressional tests for shock-loaded specimens of A2017, A2017 (AT attached) and 304SS.
It is noticeable that this tendency almost corresponds with the data of Fig. 8, where the ratio of the products of fεσ ⋅2.0 in Eq. 4 of precompressed specimens to those for virgin materials are 63.9% (A2017), 84.6% (A2017/AT-attached) and 122.4% (304SS), although cylinder fragmentation phenomenon must be affected by some other factors.

Methodology In general, methodology played a major role to find the validity of the data.
In this work, the data was collected through survey questionnaires circulated to about ten various levels of people amounting to sixty three numbers and working in different automotive manufacturing industries in Tamilnadu.
The first stream of research uses survey data to explore the impact of lean production practices on industrial performance between lean activities that occur at different intervals based on turnover rate, employee training and customer satisfaction percentage, lean activity occurrences interval and delivery defect rate.
The hypothetical relations between various issues are tested with data collected from different automobile manufacturing industries located in Tamilnadu.
Reduction of the defect rate leads to the productivity enhancement in the industries.

Also, a reduction of the specific power consumption and extrudate-swell have been found.
Generally a reduction in viscosity and/or an increase in temperature are proposed as major causes for this behavior.
At low flow rates pressure reduction due to ultrasonic vibration is important and seems to be associated with an increase in melt temperature.
As the flow rate increases the pressure reduction becomes less significant and so does the temperature increase.
At high flow rates, the vibration does not affect the quality of the extrudate. 60 70 80 90 100 110 120 130 140 150 0 50 100 150 200 250 Data Reading ����P [10 4 MPa] Shear rate (1/s) 6.94 13.89 20.83 27.83 Fig. 2 - Influence of vibration on pressure drop.

GPU has powerful computing ability on parallel data processing.
It is especially applicable to arithmetics with the same operator but different arithmetic data.
The processing results of CPU corresponding data statistics are as shown in Table 1.
Perform loop noise reduction for 12 times on corresponding images to increase the amount of data and accurately measure the noise reduction speed.
Perform corresponding data statistics in CPU.

Reduction in area is affected by second phases and inclusions.
The effect of carbon content (in other words the volume fraction of cementite) on the true stress is clear from the comparison of data shown in Fig.4(b) for various compositions.
Tensile strength-reduction in area balance While uniform elongation is a measure of ductility of the material, reduction in area in tensile tests is also an important measure of ductility.
Reduction in area is affected by second phase particles and inclusions.
The test data of conventional ferrite-pearlite steel, tempered martensitic steel and bainite steel are also plotted for the purpose of comparison.

Calculated polarization curves are shown to compare favourably with published experimental data for ultra-thin catalyst layers.
Thereafter, modeling results are analyzed and compared with the available experimental data.
The experimental data of Parthasarathy et al. [7] were used to correlate the reference exchange current density for oxygen reduction in the acidic electrolyte with temperature.
We compare our model calculations of polarization as a function of operating current density to the experimental data of Debe [2].
Since many researchers report that the hydrogen electrode in the PEFC performed with negligible overpotential, the experimental fuel cell voltage data are comparable to our calculated potentials by including the membrane proton resistance.

Research Methodology This research was undertaken through five stages which are literature review, research proposal development, data collection, data analysis and conclusion and recommendation.
The data collected was analysed using the SPSS statistical package version 13.0.
Huang in 2008 categorized green highway construction assessment topics into six groups, namely ecology, landscaping, materials, waste reduction, water conservation, and energy conservation [6].
These elements were grouped under six different categories namely: ecology, landscaping, waste reduction, materials, water conservation and energy efficiency.
These elements were grouped into six (6) different categories, namely: ecology, landscaping, waste reduction, materials, water conservation and energy efficiency.

(8) (9) (10) (11) , (12) Step 3: Data collection and attributes reduction.
The collected data is different from each other in unit and the criteria, so the difference must be eliminated before the date is used.
In this paper, the VPRS model is used for evaluation attribute reduction as previous introduced.
The condition attributes representing a pattern's elements were scaled approximately onto [0, 1] by the formula (13): (13) Where and are minimal and maximal values of the attribute within the training set data.
According to process of attribute reduction, the generalized rules are listed in table 3.

Two main outputs are ECCC data sheets and ECCC Recommendation Volumes.
Moreover, the test data are often sparse at low temperatures.
The resulting 2017 data set had collected test results 48 heats at temperatures range 550-700°C, with test-data extending to 150kh (failed) and ≈200kh (un-failed).
During the last 20 years, many materials have been considered, in terms of experimental data production, data collation and assessment, and microstructural characterization.
Further data collation aimed to full assessment ongoing [3].