Search Options

Sort by:

Sort search results by

Publication Type:

Publication Type filter

Open access:

Publication Date:

Periodicals:

Periodicals filter

Search results

Online since: February 2015
Authors: Štěpán Hubálovský, Štěpán Major, Vladimír Kocour, Jaroslav Valach
When these components are known, the prediction of biaxial fatigue life using uniaxial data is basically possible.
Experimental data are available at authors of this paper.
List of all data and all data description is not expressed here due to a large amount of data (40 notched samples and 46 smooth samples – normal stress amplitude σa and shear stress components amplitude τa, loading ratio z for every sample, and number of cycles to failure.
Low standard deviation indicates that the data points tend to be very close to the mean (also called expected value); high standard deviation indicates that the data points are spread out over a large range of values.
Nemeš for providing of the experimental data.
Online since: June 2014
Authors: De Ying Li, Peng Xu, Ya Xuan Xiong, Yu Ting Wu, Chong Fang Ma
Voltage imposed on the inner part of receiver No.1 is collected directly by connecting welding locations where the absorber joints with the bellows, and the MCU data acquisition unit connected with data cables.
A MCU data acquisition unit and a touch screen serve to acquire, monitor and save the data collected.
We think that aging of selective coating and reduction of vacuum level in annular space cause the thermal performance reduction of receiver 1#.
Fig. 5 Comparison of Heat Loss Curves from the Novel System and the Traditional System [7][8] Fig. 5 shows the comparison of experiment data with that in literature data.
Error theory and data processing, sixth ed., China Machine Press, Beijing, 2010.6.
Online since: January 2013
Authors: Hua Zhang, Zhi Gang Jiang, Yan Hong Wang, Gang Zhao
The regression analysis and path analysis methods can achieve good results to process the complete, accurate and low-dimensional data [1-3].
But grey relational analysis method is better for handling the grey data [4-6].
The observational data on the serial number k of the system characteristic behavior of Yi is , .
The observational data on the serial number k of the system characteristic behavior of Xi is ,.
Applications Having the steel plant production and management daily report data of a blast furnace in 2011 as the sample for analysis, the sequence k (k=350) set of data are selected as basic data for grey relational grade calculation. 2.1 Synthetic Grey Correlation solving Grey correlation indicates the tightness of the sequence Yi and Xi.
Online since: December 2014
Authors: Yong Qiang Yuan
The two ratios -monitoring and assessment value , the total amount of pollutant emissions and water environmental capacity’s value confirmation is based on Liaohe Tieling’s seven sections monitoring data.
All these seven sections year of 2008-2013 water quality monitoring data were used for principal component analysis by spss software.
Choosing the monitoring data of these seven sections’s four main pollutants which getting from analysis for principal component matrix.
Import all 99 sets of datas’ monitoring value and assessment value ratioalues into Excel and do frequency distribution histograms as figure 1 showing.
During every term of these three, the river can have a reasonable pollutants emission reductions and also an effective pollution control measures, which can make water quality improved term by term.
Online since: May 2023
Authors: Rajendra D. Kanphade, Ajjay S. Gaadhe, Ujwal R. Shirode
Static Random-Access Memory consumes the least amount of power, provides the highest performance, and keeps data static.
However, due to data flipping, they had weak write capabilities.
When data "0" is to be written to the storage node instead of "1," which is already stored, then BL is supplied with GND causing a flow of current from the bit line to the node containing the data due to which data gets flipped and vice-versa for storing “0” when “1” is already stored.
This stores the single-bit data.
As a result, unlike a 6T cell, cell data may easily be flipped.
Online since: July 2011
Authors: Ashraf Mohamed Mahmoud
This study show a reduction in the failure load values by an amount 0.6 to 2.8% when using GFRP, indicating that the CFRP is more preferable in strengthening of the hollow column than the GFRP.
The presence of these hollows inside the columns cause a reduction in the column stiffness as compared with columns without hollows.
Note that the experimental data for the unstrengthened column model U1 is not available.
(N.A.) -54527 (N.A.) 0.66 0.80 Ductile Ductile Ductile * Note that (N.A.) means that the value of this data is not available.
Online since: April 2015
Authors: P.C. Sreekumar, R. Ratheesh, K. Krishnamoorthy
Heat transfer augmentation techniques ultimately results in the reduction of thermal resistance in a conventional heat exchanger by generating higher convective heat transfer coefficient.
Data Reduction The rate of heat transfer from the hot water to cold fluid can be estimated from the inlet and exit temperatures.
(a) (b) Fig. 4 Comparison of experimental data with (a) Dittus-Boelter equation and (b) Blasius equation Convective Heat Transfer Coefficient of Water and Nanofluid.
Online since: October 2004
Authors: Lee Ku Kwac, Young Tae Cho, Jae Yeol Kim
Such reduction of the shearing stress is considered to be.
The actual and FEM data of the micro-stage center displacement were compared and the results are shown in Fig. 9.
They also show the deviation of the bite tip of micro-stage displacement between the actual data and FEM analysis data.
The results in Fig. 9 and Table 5 show that the FEM displacement data are similar to the actual displacement data obtained by operating the micro-stage; the error ratio was 3.53%.
The deviation between FEM data and actual data obtained by driving the micro stage was 3.53%, which was less than the allowable engineering deviation with use of FEM; this low deviation value verifies the validity of the FEM used in our study. 5.
Online since: September 2006
Authors: W.R. Mabe, A.M. Holloway, W.J. Koller, P.R. Stukenborg
It is noted that the FEA analysis was benchmarked to the hoop strain data at the expense of the radial data.
The SHD stress results were calculated using the strain-data averaging method as described in reference [4].
Again, the largest differences between the DHD data and the reference solution occur at the peak stress locations.
Investigations into potential improvements to the FEA reference solutions, particularly in the elastic-plastic transition region, and the use of the eigenstrain method, reference [5], to improve the DHD data reduction are planned as part of ongoing DHD development and validation studies.
Hill, "Improved Data Reduction for the Deep-Hole Method of Residual Stress Measurement," Journal of Strain Analysis, vol. 38, no. 1, 2003, pp 65-78
Online since: February 2011
Authors: Zhi Bin Qin, Zhao Hui Liu, Yu Zhi Li
The road-region ecosystem has environmental functions, such as noise reduction, dust reduction, air purification and local climate improvement to some extent.
During preparation, related data are collected; in systems analysis, the evaluation index is established and the evaluation unit determined; the evaluation method and weighting method are then designed; the overall assessment is to calculate evaluation results; in the adjustment step, suggestions that improve the trade-off between highway construction and ecological environment protection are made.
Showing 14861 to 14870 of 40357 items