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Online since: August 2021
Authors: František Girgle, Petr Štěpánek, Petr Daněk, Vojtěch Kostiha, Ivana Švaříčková
The aim is to verify the functionality of the coupling and, based on the comparison of measured and theoretical data, to define the critical points of the composite and, thus, provide a basis for design optimisation in order to maximise the monitored parameters.
Collection of the data took place continuously from October 2018 to August 2019, with the aim to describe changes in deformation, stress and temperature of the composite from the production phase to the final/operational state.
Based on the evaluation of the measured data, the problematic places/points were subsequently defined in terms of the steel envelope coupling and concrete filling functionality.
Based on these processes, it is possible to conclude that there is a reduction in the cohesion of the contact, as a result of which the coupling mandrel is ‘activated’ (increased in deformation).
Collection of the data took place continuously from October 2018 to August 2019, with the aim to describe changes in deformation, stress and temperature of the composite from the production phase to the final/operational state.
Based on the evaluation of the measured data, the problematic places/points were subsequently defined in terms of the steel envelope coupling and concrete filling functionality.
Based on these processes, it is possible to conclude that there is a reduction in the cohesion of the contact, as a result of which the coupling mandrel is ‘activated’ (increased in deformation).
Online since: November 2013
Authors: Sansot Panich
All these data were used to determine the anisotropic coefficients.
The results were compared with experimental data.
It was found that the Yld2000-2d model precisely predict well with experimental data than the other models.
Furthermore, anisotropy coefficients of the anisotropic yield functions, Hill’s 48 and Yld2000-2d, were calculated using the data from Table 1.
Obviously, In Fig.3b) the predicted yield points and yield locus for Yld2000-2d model precisely predict well with experimental yield stress data.
The results were compared with experimental data.
It was found that the Yld2000-2d model precisely predict well with experimental data than the other models.
Furthermore, anisotropy coefficients of the anisotropic yield functions, Hill’s 48 and Yld2000-2d, were calculated using the data from Table 1.
Obviously, In Fig.3b) the predicted yield points and yield locus for Yld2000-2d model precisely predict well with experimental yield stress data.
Online since: July 2017
Authors: Y.G. Romanenko
Chronic gastritis and duodenitis at the children, associated with Helicobacter pylori infection, carried out by violations in a cellular link of immunity: lymphocytosis, imbalance of subpopulations T-cells with reduction of absolute CD3+, CD4+ - lymphocytes, increasing of absolute measures CD8+ - and CD16+ - lymphocytes.
At the experimental animals and patients with CHG was observed lowest proliferative answer of lymphocytes in the peripheral blood, and lowest production of interleukin 2 and gamma interferon, that indicates about reduction of regulatory activity subpopulation of T – helper’s lymphocytes [14, 15, 16, 17, 18].
For analyses the data of results were calculated arithmetic average (M), standard deviations (σ) and standard error of the average (±m).
Parametrical t-criterion Student was applied to compare results between groups of research, by the data of experiment.
Increased of the spontaneous NBT –test indicated about a high reduction potential of each cell, as the result of increasing levels of CIC [38,39].
At the experimental animals and patients with CHG was observed lowest proliferative answer of lymphocytes in the peripheral blood, and lowest production of interleukin 2 and gamma interferon, that indicates about reduction of regulatory activity subpopulation of T – helper’s lymphocytes [14, 15, 16, 17, 18].
For analyses the data of results were calculated arithmetic average (M), standard deviations (σ) and standard error of the average (±m).
Parametrical t-criterion Student was applied to compare results between groups of research, by the data of experiment.
Increased of the spontaneous NBT –test indicated about a high reduction potential of each cell, as the result of increasing levels of CIC [38,39].
Online since: February 2013
Authors: Tao Yue, Fan Wang, Bin Jie Han, Peng Lai Zuo, Fan Zhang
The reduction effects on elemental mercury emission by different control devices are shown in Fig. 1
Fig.1 Reduction effects of different control technologies on elemental mercury emission (5)Analysis of mercury emissions of the different coal byproducts Mercury proportions in coal by-products of total mercury are shown in Fig.2.
Sample name Hg (ng/g) Cement plant 1 Iron ore powder 11.9859 Limestone 30.0545 Silicon waste rock 7.0601 Fly ash 369.7598 Precipitator ash 6.0901 Cement plant 2 Limestone 11.0420 Silicon waste rock 6.5373 Limestone slag 27.8678 Sulfuric acid residue 166.1396 Cement plant 3 Iron ore powder 9.5362 Limestone 12.1612 Silicon waste rock 11.7516 Fly ash 664.1089 Cement plant 4 Ore slag 10.5384 Steel slag 7.5743 Bauxite 47.0390 Rock 797.8275 Limestone 6.7505 Coke powder 169.1279 Fig.4 Mercury concentration test results of the cement kiln flue gas Through the analysis of the data the following conclusions can be obtained: (1)For the limestone one of cement raw materials, mercury content was only 5.4% to 7.5% of the average mercury content of coal.
[5] He S, Zhou J S, Zhu Y Q, et al., Mercury Oxidation over a Vanadia-based Selective Catalytic Reduction Catalyst[J].
[10] Wo J J, Zhang M, Cheng X Y, et al., Hg2+ reduction and re-emission from simulated wet flue gas desulfurization liquors[J].
Fig.1 Reduction effects of different control technologies on elemental mercury emission (5)Analysis of mercury emissions of the different coal byproducts Mercury proportions in coal by-products of total mercury are shown in Fig.2.
Sample name Hg (ng/g) Cement plant 1 Iron ore powder 11.9859 Limestone 30.0545 Silicon waste rock 7.0601 Fly ash 369.7598 Precipitator ash 6.0901 Cement plant 2 Limestone 11.0420 Silicon waste rock 6.5373 Limestone slag 27.8678 Sulfuric acid residue 166.1396 Cement plant 3 Iron ore powder 9.5362 Limestone 12.1612 Silicon waste rock 11.7516 Fly ash 664.1089 Cement plant 4 Ore slag 10.5384 Steel slag 7.5743 Bauxite 47.0390 Rock 797.8275 Limestone 6.7505 Coke powder 169.1279 Fig.4 Mercury concentration test results of the cement kiln flue gas Through the analysis of the data the following conclusions can be obtained: (1)For the limestone one of cement raw materials, mercury content was only 5.4% to 7.5% of the average mercury content of coal.
[5] He S, Zhou J S, Zhu Y Q, et al., Mercury Oxidation over a Vanadia-based Selective Catalytic Reduction Catalyst[J].
[10] Wo J J, Zhang M, Cheng X Y, et al., Hg2+ reduction and re-emission from simulated wet flue gas desulfurization liquors[J].
Online since: May 2012
Authors: Zhao Min Li, Song Yan Li
Flow rate data from the amplifier into the second meter reading can be easily and rapidly read.
During the experiment, if the reduction of formation variation coefficient after ball blocking is less than 40%, it is defined bad effect.
If the reduction is from 40% to 60%, it is defined moderate effect.
If the reduction is greater than 60%, it is defined good effect.
Table 5 Effect of total flow rate on diversion Flow rate ratio Total flow rate (m3/h) Injected ball number Blocking ball number of layer Flow rate of layer (m3/h) Variation coefficient before ball blocking Variation coefficient after ball blocking Variation coefficient reduction (%) Diversion effect 1 2 3 1 2 3 6:3:1 3.5 42 12 5 4 1.37 1.29 0.84 0.62 0.20 67.74 good 4.2 48 14 4 0 1.62 1.42 1.16 0.62 0.13 79.03 good 5 48 14 4 2 2.01 1.76 1.23 0.62 0.11 82.26 good 1:3:6 3.5 54 1 4 12 0.92 1.15 1.43 0.62 0.18 70.97 good 4.2 54 1 4 13 1.15 1.46 1.59 0.62 0.13 79.03 good 5 48 2 6 14 1.47 1.66 1.87 0.62 0.10 83.87 good Conclusions (1) Simulation lateral well for ball sealer diversion was established.
During the experiment, if the reduction of formation variation coefficient after ball blocking is less than 40%, it is defined bad effect.
If the reduction is from 40% to 60%, it is defined moderate effect.
If the reduction is greater than 60%, it is defined good effect.
Table 5 Effect of total flow rate on diversion Flow rate ratio Total flow rate (m3/h) Injected ball number Blocking ball number of layer Flow rate of layer (m3/h) Variation coefficient before ball blocking Variation coefficient after ball blocking Variation coefficient reduction (%) Diversion effect 1 2 3 1 2 3 6:3:1 3.5 42 12 5 4 1.37 1.29 0.84 0.62 0.20 67.74 good 4.2 48 14 4 0 1.62 1.42 1.16 0.62 0.13 79.03 good 5 48 14 4 2 2.01 1.76 1.23 0.62 0.11 82.26 good 1:3:6 3.5 54 1 4 12 0.92 1.15 1.43 0.62 0.18 70.97 good 4.2 54 1 4 13 1.15 1.46 1.59 0.62 0.13 79.03 good 5 48 2 6 14 1.47 1.66 1.87 0.62 0.10 83.87 good Conclusions (1) Simulation lateral well for ball sealer diversion was established.
Online since: June 2013
Authors: Tao Liu, Rong Song
To study the accuracy and characteristics of neural network prediction calculation, 18 data sets were used as training samples and the No.6 and No.16 data sets were used as the validation data.
2.3 Neural network setting
BP neural network was set to have three layers.
Take No.6 data set’s test values for example: Figure 1 shows the error percentage in calculation of the predictive values of No.6 data set when the number of calculation times was below 1000.
Wherein No.6 data set’s calculation error in 29 times vibrated within -20%~+20%; No.16 data set’s calculation error in 26 times vibrated within -20%~+20%.
Fig 4 :Data Processing Flow Chart Take No.6 data set for example and showcase its processing (the other three values are in similar case, you can calculate on your own).
Teaching Evaluation System through Network Based on Data Mining[J].
Take No.6 data set’s test values for example: Figure 1 shows the error percentage in calculation of the predictive values of No.6 data set when the number of calculation times was below 1000.
Wherein No.6 data set’s calculation error in 29 times vibrated within -20%~+20%; No.16 data set’s calculation error in 26 times vibrated within -20%~+20%.
Fig 4 :Data Processing Flow Chart Take No.6 data set for example and showcase its processing (the other three values are in similar case, you can calculate on your own).
Teaching Evaluation System through Network Based on Data Mining[J].
Online since: January 2012
Authors: Jung Pin Wang, Hsi Chi Yang, Jiun Wei Wu
The sludge dramatically causes the water pollution and storage reduction of a reservoir, threatening its functionality and operational life span.
From the material data in Tables 3 and 4, the weights of cement and fly ash used for W=160 kg/m3 (B2) is greater than W=140 kg/m3 (B1).
From the material data in Tables 3 and 4, the weight of fly ash used for W/B=0.28 (C1) is greater than W/B=0.32 (C2).
From the material data in Tables 3 and 4, when W/B=0.28 (C1), the weights of cement, fly ash and superplasticizer used for W=160 kg/m3 (B2) is greater than W=140 kg/m3 (B1).
Since S/N ratio is defined as the ratio between the square of mean and the variance, the increase of mean and the reduction of variance will make the S/N ratio bigger.
From the material data in Tables 3 and 4, the weights of cement and fly ash used for W=160 kg/m3 (B2) is greater than W=140 kg/m3 (B1).
From the material data in Tables 3 and 4, the weight of fly ash used for W/B=0.28 (C1) is greater than W/B=0.32 (C2).
From the material data in Tables 3 and 4, when W/B=0.28 (C1), the weights of cement, fly ash and superplasticizer used for W=160 kg/m3 (B2) is greater than W=140 kg/m3 (B1).
Since S/N ratio is defined as the ratio between the square of mean and the variance, the increase of mean and the reduction of variance will make the S/N ratio bigger.
Online since: October 2015
Authors: Somrat Kerdsuwan, Palita Chiyawong, Krongkaew Laohalidanond
Thermal treatment of MSW by incineration is considered as an option for effective treatment technique due to the fast reduction in mass and volume of MSW.
Since, there are varieties of technology widely used for waste disposal both biological and thermal technologies, e.g. sanitary landfill, composting, anaerobic digestion, incineration, gasification, mechanical and biological treatment (MBT) as well as biological and mechanical treatment (BMT) [1-4], however, for city where the generation rate of MSW is small; less than 50 ton per day (TPD), especially in the remote area such as an island, incineration is a preferably treatment technology due to the advantage of fast reduction in mass and volume of MSW.
This data from the previous experiments was used as the initial value for the design of the downdraft gasification plant.
Since, there are varieties of technology widely used for waste disposal both biological and thermal technologies, e.g. sanitary landfill, composting, anaerobic digestion, incineration, gasification, mechanical and biological treatment (MBT) as well as biological and mechanical treatment (BMT) [1-4], however, for city where the generation rate of MSW is small; less than 50 ton per day (TPD), especially in the remote area such as an island, incineration is a preferably treatment technology due to the advantage of fast reduction in mass and volume of MSW.
This data from the previous experiments was used as the initial value for the design of the downdraft gasification plant.
Online since: October 2011
Authors: Li Hua Gan, Xiao Gang Wang, Ming Xian Liu, Long Wu Chen, Yang Li, Zi Jie Xu, Liang Yang
The CV curves of the carbon foams show rectangular-like shape without obvious oxidation-reduction evolution peak, which suggests a typical nonfaradic adsorption/desorption reaction.
N2 adsorption data was taken at 77 K to calculate the specific surface area by Brunauer-Emmett- Teller (BET) method.
There is no obvious oxidation-reduction peak appearing in the CV curves, which suggests that the electrode specific capacitance of the carbon foams consists of electric double-layer capacitors without faradic reactions.
N2 adsorption data was taken at 77 K to calculate the specific surface area by Brunauer-Emmett- Teller (BET) method.
There is no obvious oxidation-reduction peak appearing in the CV curves, which suggests that the electrode specific capacitance of the carbon foams consists of electric double-layer capacitors without faradic reactions.
Online since: October 2010
Authors: G. Khrypunov, A. Meriuts, H. Klochko, T. Shelest, A. Khrypunova
According to the published data [1], the shape of the C–V characteristics of the CdS/CdTe based thin film solar cells at this frequency is mainly determined by the variations in the sizes of the space charge regions.
The measuring procedures and the processing of data were carried out with the help of a PC.
If the glass/SnOx:F/CdS/CdTe/ITO SC was illuminated from the frontal side and the applied bias was positive, the growth of voltage resulted in a reduction of the Q(l) values in the whole spectral range of photosensitivity (Fig. 2).
In this case, the amplitude of reduction increased as the photon wavelength grew from 650 to 820 nm.
An increase of the direct bias resulted in a reduction of the electric field in the space-charge region (SCR) of a frontal heterojunction.
The measuring procedures and the processing of data were carried out with the help of a PC.
If the glass/SnOx:F/CdS/CdTe/ITO SC was illuminated from the frontal side and the applied bias was positive, the growth of voltage resulted in a reduction of the Q(l) values in the whole spectral range of photosensitivity (Fig. 2).
In this case, the amplitude of reduction increased as the photon wavelength grew from 650 to 820 nm.
An increase of the direct bias resulted in a reduction of the electric field in the space-charge region (SCR) of a frontal heterojunction.