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Online since: August 2013
Authors: Shi Yan, Han Yan, Hai Tao Du, Qi Le Yu
It indicates that analyzing slope stability with strength reduction method is feasible.
Strength reduction method Calculation Principle.
is the reduction factor.
According to the geological exploration data, after ground leveling, the slope security level is secondary.
In Fig. 4, three curves mutate near the reduction factor of 2.0.
Strength reduction method Calculation Principle.
is the reduction factor.
According to the geological exploration data, after ground leveling, the slope security level is secondary.
In Fig. 4, three curves mutate near the reduction factor of 2.0.
Online since: March 2006
Authors: R.G. Santos, J.L. Peralta
Experiments were carried out in order to obtain slabs without thickness
reduction and with thickness reduction of about 20% and 40%.
One of then is the liquid core reduction [5].
The variations of temperature at different positions in the slabs and in the mould were measured by thermocouples coupled to a data acquisition system.
(a) slab without thickness reduction and (b) slab with 20% reduction. structure.
Variation of secondary arm spacing with the distance from metal/mould interface: (a) slab without reduction, (b) with a reduction of 20% and (c) with a reduction of 40%.
One of then is the liquid core reduction [5].
The variations of temperature at different positions in the slabs and in the mould were measured by thermocouples coupled to a data acquisition system.
(a) slab without thickness reduction and (b) slab with 20% reduction. structure.
Variation of secondary arm spacing with the distance from metal/mould interface: (a) slab without reduction, (b) with a reduction of 20% and (c) with a reduction of 40%.
Online since: July 2013
Authors: Henna Tiensuu, Ilmari Juutilainen, Juha Röning, Satu Tamminen
Box 4500, 90014 Oulu, Finland
asatu.tamminen@ee.oulu.fi, bhenna.tiensuu@ee.oulu.fi, cilmari.juutilainen@ee.oulu.fi, djuha.roning@ee.oulu.fi
Keywords: quality control, process modelling, data mining, variability reduction
Abstract.
The Data Sets First, we look briefly into the data sets analysed in our recent research projects.
To summarize, the quality of the data affects directly that of the results and the cost-effectiveness of the data mining process.
Often, the problem of data analysis is the quantity of data.
Data An.
The Data Sets First, we look briefly into the data sets analysed in our recent research projects.
To summarize, the quality of the data affects directly that of the results and the cost-effectiveness of the data mining process.
Often, the problem of data analysis is the quantity of data.
Data An.
Online since: May 2012
Authors: Tong Hang Xi, Shao Wen Fang, Ming Hao Mo, Jie Yang, Hai Jin Zheng
The reduction effect of terrace is good and grass planting on the ridge of terrace is much better.
Method and data Eight standard runoff plots(Tab.1) of 5m×20m with the horizontal projected area of 100m2 and the slope of 12°were established on a slope.
Runoff volume and sediment volume observation data of eight standard runoff plots from 2006 to 2008(Tab.2, Tab.3) were selected to study the effect of SWC Measures on runoff and sediment reduction.
Different measures had different effect of sediment reduction.
Compared with the CK plot, each terrace had some degree of sediment reduction effect, the reduction rates of 5 plot and 6 plot were 99.6% and 90.7%.
Method and data Eight standard runoff plots(Tab.1) of 5m×20m with the horizontal projected area of 100m2 and the slope of 12°were established on a slope.
Runoff volume and sediment volume observation data of eight standard runoff plots from 2006 to 2008(Tab.2, Tab.3) were selected to study the effect of SWC Measures on runoff and sediment reduction.
Different measures had different effect of sediment reduction.
Compared with the CK plot, each terrace had some degree of sediment reduction effect, the reduction rates of 5 plot and 6 plot were 99.6% and 90.7%.
Online since: November 2012
Authors: Jin Lan Gao
It can remove the redundant information in the original data, and extract the most useful information through data analysis directly.
If the condition attributes set reduction is a nonempty set .
Then is called a reduction, the set of all reduction credited as.
This paper collects hundreds of groups transformers historical fault data, and selects the 30 groups representative samples to transform the training set, 10 groups for test set.
Reduction of decision table.
If the condition attributes set reduction is a nonempty set .
Then is called a reduction, the set of all reduction credited as.
This paper collects hundreds of groups transformers historical fault data, and selects the 30 groups representative samples to transform the training set, 10 groups for test set.
Reduction of decision table.
Online since: November 2011
Authors: Jun Wang
Analyzing the test data mean, standard deviation SD and coefficient of variation COV of casing Q125, some conclusions are obtained as follows: coefficient of variation of tensile strength is less than 1.00%, and the maximum coefficient of variation of yield strength is 1.78%, indicating experimental data is discrete to a lesser extent, with good agreement.
High Grade Steel Casing Material Strength Model at High Temperature Defining a strength function which is temperature related (MPa), where T is the temperature variable (℃), and 20℃≤T≤350℃, fixed value represents the test data at room temperature; represents the test data at high temperature.
Based on the above results, yield strength reduction factor and tensile strength reduction factor are estimated at each temperature, respectively, fitting all the data and material property model under the effect of temperature is established (Table 2), and the fitting curve has been shown in Figure 3 and Figure 4.
To test the accuracy of fitting formula, some statistical analysis have been done between the fitting formula and the experimental data, showing that the correlation coefficients of the expressions are all above 0.9 (Table 2), which indicate that the estimated value of the fitting formula and the corresponding actual data have been fitting well.
But during the casing design under high temperature, we need to select the casing under this temperature, at the situation of the absence of experimental data, a strength reduction factor bottom line at high temperature should be require.
High Grade Steel Casing Material Strength Model at High Temperature Defining a strength function which is temperature related (MPa), where T is the temperature variable (℃), and 20℃≤T≤350℃, fixed value represents the test data at room temperature; represents the test data at high temperature.
Based on the above results, yield strength reduction factor and tensile strength reduction factor are estimated at each temperature, respectively, fitting all the data and material property model under the effect of temperature is established (Table 2), and the fitting curve has been shown in Figure 3 and Figure 4.
To test the accuracy of fitting formula, some statistical analysis have been done between the fitting formula and the experimental data, showing that the correlation coefficients of the expressions are all above 0.9 (Table 2), which indicate that the estimated value of the fitting formula and the corresponding actual data have been fitting well.
But during the casing design under high temperature, we need to select the casing under this temperature, at the situation of the absence of experimental data, a strength reduction factor bottom line at high temperature should be require.
Online since: December 2024
Authors: Varvara Vinnichenko, Olena Vinnychenko
Reduction of energy costs indicates reduced fuel consumption for the process.
Reduction of operational costs is shown when using dolomite waste instead of dolomite.
Comparison of data in Fig. 1 shows that decarburization of dolomite requires more heat energy than decarburization of mixtures of dolomite and waste coal.
Based on these data, it can be stated that the production of cement from waste dolomite plus waste coal is energetically favorable.
Calculation data: - specific heat energy consumption for firing - 2008 kJ/kg of clinker; - specific consumption of conditional fuel - 70 kg/t clinker; - specific consumption of coal waste - 150 kg/t clinker; - quantity of clinker produced per year - tons per year.
Reduction of operational costs is shown when using dolomite waste instead of dolomite.
Comparison of data in Fig. 1 shows that decarburization of dolomite requires more heat energy than decarburization of mixtures of dolomite and waste coal.
Based on these data, it can be stated that the production of cement from waste dolomite plus waste coal is energetically favorable.
Calculation data: - specific heat energy consumption for firing - 2008 kJ/kg of clinker; - specific consumption of conditional fuel - 70 kg/t clinker; - specific consumption of coal waste - 150 kg/t clinker; - quantity of clinker produced per year - tons per year.
Online since: September 2010
Authors: Kingliana Loeis, Bernd Christian Schuller, Hans Werner Hoffmeister
This model provides a relative simple description of hysteresis without needing a large
amount of data in a lookup table.
The Bouc-Wen hysteresis model for an active suction block was determined using experimental data from ramp input increasing (0 - 10V) and decreasing (10 - 0V) by voltage rate 1 V/s major loop hysteresis curve sampled at 1 kHz.
The identified hysteresis loops initially appears to fit well to the measured data.
This suggests a 93.28% reduction in major hysteresis loop area.
This larger amount of data allows more accuracy in hysteresis model result.
The Bouc-Wen hysteresis model for an active suction block was determined using experimental data from ramp input increasing (0 - 10V) and decreasing (10 - 0V) by voltage rate 1 V/s major loop hysteresis curve sampled at 1 kHz.
The identified hysteresis loops initially appears to fit well to the measured data.
This suggests a 93.28% reduction in major hysteresis loop area.
This larger amount of data allows more accuracy in hysteresis model result.
Online since: March 2013
Authors: Xin Liang Wang, Qin Feng Di, Wei Gong, Yi Chong Cheng, Shuai Hua
The results have important significance to the mechanism studies of the HNPs drag reduction technology.
2.
Table 2 The drag reduction results and the slip length Experiment No.
According to the Carman-Kozeny relationship[16], the permeability of porous can be expressed as: (9) From above equation, the average pore size can be derived out as follows: (10) The cores’ actually pore sizes can be calculated out by substituted the experimental data to formula (10), results are listed on table 2.
Laminar drag reduction in microchannels using ultrahydrophobic surfaces, Physics of Fluids, 16(2004) 4635-4643
Drag reduction on a patterned superhydrophobic surface, Phys.Rev.Lett, 97(2006) 44504
Table 2 The drag reduction results and the slip length Experiment No.
According to the Carman-Kozeny relationship[16], the permeability of porous can be expressed as: (9) From above equation, the average pore size can be derived out as follows: (10) The cores’ actually pore sizes can be calculated out by substituted the experimental data to formula (10), results are listed on table 2.
Laminar drag reduction in microchannels using ultrahydrophobic surfaces, Physics of Fluids, 16(2004) 4635-4643
Drag reduction on a patterned superhydrophobic surface, Phys.Rev.Lett, 97(2006) 44504
Online since: May 2011
Authors: Bing Yang, Yan Liu, Xiao Pai Zhang, Zhi Fang Zhong, Hua Xin Dong, Hua Yun Sun
Based on the comparative analysis on the low-noise road surface, noise reduction green belts, noise barriers and other noise reduction methods, the sound barrier is put forward as an important method for reducing the city road traffic noise.
The noise and vibration test and analysis system mainly includes multi-channel data recording instrument and front end, HPS IV Digital Playback System and so on.
Fig. 2 Data recording instrument and front end Fig. 3 HPSIV digital playback system Test point arrangement.
The result reflects the obvious noise reduction effect of the sound barrier.
The sound barrier has better noise reduction effect in the high frequency range.
The noise and vibration test and analysis system mainly includes multi-channel data recording instrument and front end, HPS IV Digital Playback System and so on.
Fig. 2 Data recording instrument and front end Fig. 3 HPSIV digital playback system Test point arrangement.
The result reflects the obvious noise reduction effect of the sound barrier.
The sound barrier has better noise reduction effect in the high frequency range.