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Online since: October 2012
Authors: Jian Hui Sun, Long Jiang, Wan Shun Wang
By integration analysis of monitoring data of typical section, curves of horizontal and vertical displacement with time were drawn, shown in Figure 2.
Fig.3 Curves of external deformation rate with time According to the typical cross-section observation results and horizontal and vertical accumulative displacement variation, curves of horizontal and vertical displacement with time were drawn by integration analysis of data, shown in Figure 3.
By integration analysis of monitoring data of typical inclinometer hole, deep displacement curves with depth were drawn, shown in Figure 4.
Based on the observation results of typical inclinometer hole and variation of displacement deformation with depth, as well as integration analysis of the data, curves of displacement and its rate 1m away from the orifice with time are drawn, shown in Figure 5.
Slope Stability Analysis by Strength Reduction FEM [J].
Fig.3 Curves of external deformation rate with time According to the typical cross-section observation results and horizontal and vertical accumulative displacement variation, curves of horizontal and vertical displacement with time were drawn by integration analysis of data, shown in Figure 3.
By integration analysis of monitoring data of typical inclinometer hole, deep displacement curves with depth were drawn, shown in Figure 4.
Based on the observation results of typical inclinometer hole and variation of displacement deformation with depth, as well as integration analysis of the data, curves of displacement and its rate 1m away from the orifice with time are drawn, shown in Figure 5.
Slope Stability Analysis by Strength Reduction FEM [J].
Online since: November 2012
Authors: Yun Gang Li, Jie Li, Li Min Liu, Kuai Zhang
The correlation data obtained from Figure 1 were showed in Table 1.
With the reduction of electrical activity Cu+ and the precipitation of Cu on the cathode, the concentration ratio of oxidation state and reduction state matter changed continuously with the electrolysis time.
Table 2 lists a part of data extracted from Figure 5 and diffusion coefficient D of electrical activity Cu+ figured out by equation (2).
Fig.7 Chronoamperometry curve of NaCl-KCl-CuCl2 molten salt system Taking curve c in Figure 7 as an example, data of current I and time t data from the curve were presented in Table 3.
Table 3 I, t data from c curve in NaCl-KCl-CuCl2 syst t/s 0.354 0.506 0.809 1.011 1.263 1.566 1.869 I/A 0.808 0.788 0.758 0.745 0.731 0.720 0.712 t1/2/s 0.5953 0.7112 0.8993 1.0053 1.1239 1.2514 1.3671 t3/2/s 0.2110 0.3598 0.7273 1.0161 1.4196 1.9597 2.5550 (a) (b) Fig.8 Relationship between I~t1/2 and I~t3/2 in NaCl-KCl-CuCl2 system Doing linear regression to the datas in Fig.8, linear regression equations (3) and (4)are got.
With the reduction of electrical activity Cu+ and the precipitation of Cu on the cathode, the concentration ratio of oxidation state and reduction state matter changed continuously with the electrolysis time.
Table 2 lists a part of data extracted from Figure 5 and diffusion coefficient D of electrical activity Cu+ figured out by equation (2).
Fig.7 Chronoamperometry curve of NaCl-KCl-CuCl2 molten salt system Taking curve c in Figure 7 as an example, data of current I and time t data from the curve were presented in Table 3.
Table 3 I, t data from c curve in NaCl-KCl-CuCl2 syst t/s 0.354 0.506 0.809 1.011 1.263 1.566 1.869 I/A 0.808 0.788 0.758 0.745 0.731 0.720 0.712 t1/2/s 0.5953 0.7112 0.8993 1.0053 1.1239 1.2514 1.3671 t3/2/s 0.2110 0.3598 0.7273 1.0161 1.4196 1.9597 2.5550 (a) (b) Fig.8 Relationship between I~t1/2 and I~t3/2 in NaCl-KCl-CuCl2 system Doing linear regression to the datas in Fig.8, linear regression equations (3) and (4)are got.
Online since: February 2014
Authors: De'an Zhao, Jian Qing Hong, Wei Kuan Jia
The new algorithm through PCA dimension reduction for complex data, got the low-dimensional data as the BP neural networks’ input, it will be beneficial to design the hidden layer of neural network, save a lot of storage space and computing time, and conductive to the convergence of the neural network.
Combining dimension reduction of the high dimensional data with neural network organically is one of the hot spots in neural network algorithm improvement, which has made remarkable achievements.
The theory of data dimension reduction methods is many, here using the traditional principal component analysis(PCA) [9].
We use standardization to nomalize the raw data and still use X to represent the data we get.
Dimensions of raw data are reduced by PCA, which not only reduces data redundance but also eliminates influence of the relative factors.
Combining dimension reduction of the high dimensional data with neural network organically is one of the hot spots in neural network algorithm improvement, which has made remarkable achievements.
The theory of data dimension reduction methods is many, here using the traditional principal component analysis(PCA) [9].
We use standardization to nomalize the raw data and still use X to represent the data we get.
Dimensions of raw data are reduced by PCA, which not only reduces data redundance but also eliminates influence of the relative factors.
Online since: December 2012
Authors: Gui Yang Liu, Zhao Long Huang, Zhong Zhou Yi, Li Da Sun, Hong Yan Sun
Sn-Ni intermetallic compounds have been prepared by a chemical reduction method.
In this paper, Sn-Ni intermetallic compounds have been prepared by a chemical reduction method.
Fig 1 shows the XRD patterns of the products prepared by chemical reduction methods with different Sn and Ni molar ratios.
Using the XRD data, the average grain size can be approximately calculated.
Conclusions Sn-Ni intermetallic compounds have been prepared by a chemical reduction method.
In this paper, Sn-Ni intermetallic compounds have been prepared by a chemical reduction method.
Fig 1 shows the XRD patterns of the products prepared by chemical reduction methods with different Sn and Ni molar ratios.
Using the XRD data, the average grain size can be approximately calculated.
Conclusions Sn-Ni intermetallic compounds have been prepared by a chemical reduction method.
Online since: February 2014
Authors: Yan Xu, Xin Chen
Clustering analysis [2] can divide data objects into groups.
The compute of similarity is established on mean value of data in each cluster.
The process of rules mining of TSA consists of the following, · Data for TSA generated by the simulation software PSASP7.0
For each load data, set five groups of the generator power change between 80%-120% of the benchmark power.
Vol.33 (2009), p. 88-93 [2] Pang-Ning Tan, Michael Steinbach and Vipin Kumar: Introduction to Data Mining (Pearson Education, USA 2006) [3] Chuanjian Yang, Hao Ge and Zhisheng Wang: Application Research of Computers.
The compute of similarity is established on mean value of data in each cluster.
The process of rules mining of TSA consists of the following, · Data for TSA generated by the simulation software PSASP7.0
For each load data, set five groups of the generator power change between 80%-120% of the benchmark power.
Vol.33 (2009), p. 88-93 [2] Pang-Ning Tan, Michael Steinbach and Vipin Kumar: Introduction to Data Mining (Pearson Education, USA 2006) [3] Chuanjian Yang, Hao Ge and Zhisheng Wang: Application Research of Computers.
Online since: October 2007
Authors: Kyu Hwan Oh, Shi Hoon Choi, Jae Hyung Cho
Recrystallization texture also was examined during isothermal
annealing at 500°C with reduction in area.
Stored energy associated with orientations in the deformed grains was evaluated by reconstructing of data measured using electron back-scattered diffraction (EBSD).
To obtain the electron backscatter diffraction (EBSD) data, high resolution EBSD (using a JEOL 6500F scanning electron microscope with an INCA/OXFORD EBSD system) was used and the data analysis was performed using the REDS [15].
Reduction in area is specified by 90, 92, 95, 98%.
Vinel: Physica Status Solidi (B) 112 (1982) p. 111 [15] REDS, Repressing of EBSD Data in SNU, User Manual, Texture Control Lab, 2002
Stored energy associated with orientations in the deformed grains was evaluated by reconstructing of data measured using electron back-scattered diffraction (EBSD).
To obtain the electron backscatter diffraction (EBSD) data, high resolution EBSD (using a JEOL 6500F scanning electron microscope with an INCA/OXFORD EBSD system) was used and the data analysis was performed using the REDS [15].
Reduction in area is specified by 90, 92, 95, 98%.
Vinel: Physica Status Solidi (B) 112 (1982) p. 111 [15] REDS, Repressing of EBSD Data in SNU, User Manual, Texture Control Lab, 2002
Online since: April 2012
Authors: Miguel Ángel Sebastián, Ana Maria Camacho, F.J. Olivares
Taking into account that deformation is not uniform and the free surface suffers a phenomenon known as barrel-shaped, that is not covered by analytical methods, the data obtained will compared with those obtained with the FEM code ABAQUS.
The aim of this comparison between analytical and numerical methods using two commercial codes instead one, is a proposed way to validate a Finite Element simulation when experimental data are not available or do not exist yet.
Variation of the Stress with Reduction Coefficient.
Conclusions The data are consistent with the assumptions and simplifications that are made for the formulation of analytical techniques.
Finally, as similar results in compressive stress with both codes have been obtained, and both are two of the most popular codes in the industry and research field, the validation of a forging simulation with two FEM codes plus analytical method when no experimental data are available can be considered as a useful way of work.
The aim of this comparison between analytical and numerical methods using two commercial codes instead one, is a proposed way to validate a Finite Element simulation when experimental data are not available or do not exist yet.
Variation of the Stress with Reduction Coefficient.
Conclusions The data are consistent with the assumptions and simplifications that are made for the formulation of analytical techniques.
Finally, as similar results in compressive stress with both codes have been obtained, and both are two of the most popular codes in the industry and research field, the validation of a forging simulation with two FEM codes plus analytical method when no experimental data are available can be considered as a useful way of work.
Online since: July 2007
Authors: Viktória Feigl, Z. Siki, E. Vaszita, Katalin Gruiz
Components of the methodology
The main components of the methodology
are: the conceptual model at catchment
scale and pollution source basis; GIS database
including inventory of the pollution
sources, laboratory microcosm test results
and site assessment data; GIS work; three tiered iterative risk assessment; risk reduction planning
with the aid of the quantitative risk model focusing on fulfilment of the effect based quality criteria
targeted for the surface water ecosystem.
The GIS database includes: site-specific data and parameters taking into account the Water Balance of the area [10, 11], geological data [12], the results of the microcosm leaching experiment [13], the natural risk reduction capacity of the site, and the results of the chemical stabilisation microcosm experiment [14].
In the GIS work TIN-based (Triangulated Irregular Network) DTM (Digital Terrain Model) was derived from the contour line data, consisting of more than 250 000 triangles, using ArcView3.1 3D Analyst [18].
The model can be further refined with additional data input, assuming various water uses and considering the solid transport.
Arendt (2005), p. 1331 [10] OMSZ, National Hungarian Meteorological Service, Meteorological data (2002) [11] D.
The GIS database includes: site-specific data and parameters taking into account the Water Balance of the area [10, 11], geological data [12], the results of the microcosm leaching experiment [13], the natural risk reduction capacity of the site, and the results of the chemical stabilisation microcosm experiment [14].
In the GIS work TIN-based (Triangulated Irregular Network) DTM (Digital Terrain Model) was derived from the contour line data, consisting of more than 250 000 triangles, using ArcView3.1 3D Analyst [18].
The model can be further refined with additional data input, assuming various water uses and considering the solid transport.
Arendt (2005), p. 1331 [10] OMSZ, National Hungarian Meteorological Service, Meteorological data (2002) [11] D.
Online since: June 2014
Authors: Jiang Bo Chen, Yong Ming Qiao, Zhuo Wei Hou
The Cameralink interface is adopted to be the data transmission channel between the camera and interface card, which carries out the configuration of the camera, image data acquisition, caching, image reduction and PAL format conversion, and finally accomplishes the image real-time display.This paper discusses the FPGA implementation of double bilinear interpolation algorithm, including image data frames buffer, the vertical and horizontal interpolation.
The frame rate of output data is 25Hz, with a resolution of 2048×1536 image data ;then carry out image data acquisition, reduced image and the PAL format conversion and finally accomplish the image real-time display.
Video data is output to the reduction module for image reduction through ping-pong buffer, and the resolution will be reduced to 720×576 to be conformable with the video image size of the PAL format.
Two sets of RAM are designed to buffer the two lines of original image data, as two lines data from the original image are required for the interpolation to the new line of image data.
Additionally, repeating this running mode by writing video data into ROWS_RAM1, reading video data from ROWS_RAM2, and preceding the interpolation calculation with read-out data, and so on.
The frame rate of output data is 25Hz, with a resolution of 2048×1536 image data ;then carry out image data acquisition, reduced image and the PAL format conversion and finally accomplish the image real-time display.
Video data is output to the reduction module for image reduction through ping-pong buffer, and the resolution will be reduced to 720×576 to be conformable with the video image size of the PAL format.
Two sets of RAM are designed to buffer the two lines of original image data, as two lines data from the original image are required for the interpolation to the new line of image data.
Additionally, repeating this running mode by writing video data into ROWS_RAM1, reading video data from ROWS_RAM2, and preceding the interpolation calculation with read-out data, and so on.
Online since: January 2006
Authors: Gow Yi Tzou, Hung Hsiou Hsu
It provides useful data for the die design and
production design in metal forming process.
Fig. 8 shows the effect of initial height and reduction upon reduction of internal diameter.
Fig. 9 shows the comparison of analytical compression force and experimental data.
It is noted that the analytical compression force agrees with the experimental data and it is indicated present analytical model is valid for estimating the compression force during rotating compression of ring. 0 10 20 30 40 50 60 Reduction r (%) -40 -20 0 20 40 Reduction of Internal diameter (%) di = 12mm do = 24mm m = 0.4 Vo = 1mm/s ω = 0.16s-1 σ = 1MPa 1.hi = 8mm 2.hi = 12mm 3.hi = 24mm 4.hi = 36mm 1 2 3 4 Fig. 8.
Comparison of analytical compression force and experimental data.
Fig. 8 shows the effect of initial height and reduction upon reduction of internal diameter.
Fig. 9 shows the comparison of analytical compression force and experimental data.
It is noted that the analytical compression force agrees with the experimental data and it is indicated present analytical model is valid for estimating the compression force during rotating compression of ring. 0 10 20 30 40 50 60 Reduction r (%) -40 -20 0 20 40 Reduction of Internal diameter (%) di = 12mm do = 24mm m = 0.4 Vo = 1mm/s ω = 0.16s-1 σ = 1MPa 1.hi = 8mm 2.hi = 12mm 3.hi = 24mm 4.hi = 36mm 1 2 3 4 Fig. 8.
Comparison of analytical compression force and experimental data.