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Online since: December 2013
Authors: A. Erman Tekkaya, Lorenzo Donati, Luca Tomesani, Thomas Kloppenborg, Andreas Jäger, Alessandro Selvaggio, Martin Schwane, Ramona Hölker
The experiments were repeated at least three times under the same conditions in order to achieve a statistical validation of the acquired data.
These data are provided as reference for the 2013 edition of the Extrusion Benchmark.
Every interested participant (software houses, scientific and industrial users) are invited to perform the process simulation based on the provided data.
Finally, at the conference, the numerical results are compared with the experimental data.
Appendix Table 2: Temperature data and results of the Extrusion Benchmark Billet No.
These data are provided as reference for the 2013 edition of the Extrusion Benchmark.
Every interested participant (software houses, scientific and industrial users) are invited to perform the process simulation based on the provided data.
Finally, at the conference, the numerical results are compared with the experimental data.
Appendix Table 2: Temperature data and results of the Extrusion Benchmark Billet No.
Online since: September 2016
Authors: Apiluck Eiad-Ua, Khattiya Chalapat, Peerawith Sumtong
The data from FE-SEM show that the average pore diameter increases with the anodization time, and that the Al6061 aluminium substrate can be used to fabricate a nanoporous AAO film with an average pore diameter smaller than 17 nanometers.
Although the pore diameter can be made smaller than 20 nanometers, the shorter anodization will also result in the reduction of the average thickness of the film.
Although the pore diameter can be made smaller than 20 nanometers, the shorter anodization will also result in the reduction of the average thickness of the film.
Online since: May 2011
Authors: Zheng Liang Li, Hui Xiong, Nuan Deng
In addition, the paper can be a reference for the analysis of hydrological towers in aspects of numerical analysis, design methods and data.
(1) Where N, ,,are, respectively, the design value of axial pressure, axial compress stability factor, gross section area and reduction factor of stable strength. is the design strength value.
(1) Where N, ,,are, respectively, the design value of axial pressure, axial compress stability factor, gross section area and reduction factor of stable strength. is the design strength value.
Online since: September 2011
Authors: Xiao Ming Yuan, Zhen Zhong Cao, Zhao Yan Li, Jiang Hua Shi, Lin Dong
Boyang Ding (1988) developed a liquefaction evaluation method of the shear-wave velocities based on the silt liquefaction data in Lingwu Ningxia earthquake (By Ding for short).
The shear-wave velocity data, soil data and results of the liquefaction evaluation with five methods are shown as figure 2.
Fig. 2 Results in-situ test of site sy25 and results of the liquefaction evaluation with five methods Compared with the shear-wave velocity data and soil data, the layer from 2.7m to 6m is recognized as the liquefied layer, the mean value of the layer velocities is 173.84m/s, the underground water table depth is 2.7m.
Case 2, site sy23, in intensity VII area, N39°23.117′ and E77°58.867′, liquefied site, the shear-wave velocity data, soil data and results of the liquefaction evaluation with five methods are shown as figure 3.
Creation of A Data Base of Seismic Shear Wave Velocities for Correlation Analysis[R].
The shear-wave velocity data, soil data and results of the liquefaction evaluation with five methods are shown as figure 2.
Fig. 2 Results in-situ test of site sy25 and results of the liquefaction evaluation with five methods Compared with the shear-wave velocity data and soil data, the layer from 2.7m to 6m is recognized as the liquefied layer, the mean value of the layer velocities is 173.84m/s, the underground water table depth is 2.7m.
Case 2, site sy23, in intensity VII area, N39°23.117′ and E77°58.867′, liquefied site, the shear-wave velocity data, soil data and results of the liquefaction evaluation with five methods are shown as figure 3.
Creation of A Data Base of Seismic Shear Wave Velocities for Correlation Analysis[R].
Online since: January 2010
Authors: Ying Cai, Gang Wang
Its performance is demonstrated on nonlinearly mixed speech data..
Each has 36000 data points, and its sampling rate is 8 kHz.
The data are collected by us.
Fig.1 (a) The training speech data used to roughly estimate the AR parameter of s1 and s2; (b) The testing speech data, which is to nonlinearly mix.
The mixed observable data are firstly mapped on the expanded space, where suitable dimension reduction are done by prewhiten processing.
Each has 36000 data points, and its sampling rate is 8 kHz.
The data are collected by us.
Fig.1 (a) The training speech data used to roughly estimate the AR parameter of s1 and s2; (b) The testing speech data, which is to nonlinearly mix.
The mixed observable data are firstly mapped on the expanded space, where suitable dimension reduction are done by prewhiten processing.
Online since: August 2021
Authors: Mohd Fadzil Arshad, Hazrina Mansor, Fauziah Aziz
From the data obtained, the BIB walling system was calculated and identified.
From all the data and analysis carried out, it is found that the features of masonry unit have influenced the walling properties of the constructed wall.
This work offers valuable data of BIB to the masonry walls properties under compressive load.
However, there is no specific data produced to allow the BIB units to be used in masonry construction as a load-bearing on non load bearing wall.
The data logger used to record and analyse the strain measurements and applied loads until failure occurred to the specimens.
From all the data and analysis carried out, it is found that the features of masonry unit have influenced the walling properties of the constructed wall.
This work offers valuable data of BIB to the masonry walls properties under compressive load.
However, there is no specific data produced to allow the BIB units to be used in masonry construction as a load-bearing on non load bearing wall.
The data logger used to record and analyse the strain measurements and applied loads until failure occurred to the specimens.
Online since: February 2014
Authors: Huan Wang, Qi Zhen Chen, Run Ping Niu, Gang Li, Zhen Li
The tested data shows that the average temperature of the head, medium and tail of traditional Kang in a normal room are 65.7˚C, 43.28˚C and 39.82˚C.
Comparing the two groups of data, we can get the conclusion that the distribution of temperature in the new system Kang is more balance than traditional Kang, which improves the surface comfort of Kang.
Rural energy-saving program is an important content of the national "energy-saving emission-reduction".
Comparing the two groups of data, we can get the conclusion that the distribution of temperature in the new system Kang is more balance than traditional Kang, which improves the surface comfort of Kang.
Rural energy-saving program is an important content of the national "energy-saving emission-reduction".
Online since: February 2019
Authors: Julia S. Dvoryashina, Oksana N. Gruba
Table 1 contains the initial reference data for vanadium oxides that provide the support for mathematical models.
Comparing the experimental data and the calculated values of molar heat capacities for vanadium oxides, it is possible to conclude that the data are well correlated with the experimental data and do not exceed the confidence intervals of the latter.
Reference data for calculation of molar heat capacity (J/(mol·K)) of crystalline vanadium oxides, T = 298.15 K.
The obtained results correlate well with the experimental data.
Barin, Thermochemical Data of Pure Substances, VCH Publishers, Inc., New York, 1995
Comparing the experimental data and the calculated values of molar heat capacities for vanadium oxides, it is possible to conclude that the data are well correlated with the experimental data and do not exceed the confidence intervals of the latter.
Reference data for calculation of molar heat capacity (J/(mol·K)) of crystalline vanadium oxides, T = 298.15 K.
The obtained results correlate well with the experimental data.
Barin, Thermochemical Data of Pure Substances, VCH Publishers, Inc., New York, 1995
Online since: August 2017
Authors: Chun Xiang Qian, Huai Cheng Chen, Cheng Yao Liang, Wen Ce Kang
Data in previous researches has been collected in this work, which can be used in a particular environment and specific types of concrete for different background, while making it difficult to analysis the influencing factors as a whole.
In order to find a relative systematical solution to summarize the data, Grey Relational Analysis method is applied to analysis the mass data collected from previous literates at home and aboard.
In this research, 904 sets of data from almost fifty works and researches are excerpted from previous experiments to serve the whole research.
Besides, based on the previous data, main factors that influencing the mechanical strength of concrete in marine environment involve the original w/c, mineral admixtures content, initial immersion strength, the immersing solutions concentration, temperature and immersing age.
The shortage of data over 30-year full-immersion made it hard to assess the long-term deterioration of marine structures; besides, the influence of marine ions and the concrete materials itself are complex and no synthetic model to describe the influence properly.
In order to find a relative systematical solution to summarize the data, Grey Relational Analysis method is applied to analysis the mass data collected from previous literates at home and aboard.
In this research, 904 sets of data from almost fifty works and researches are excerpted from previous experiments to serve the whole research.
Besides, based on the previous data, main factors that influencing the mechanical strength of concrete in marine environment involve the original w/c, mineral admixtures content, initial immersion strength, the immersing solutions concentration, temperature and immersing age.
The shortage of data over 30-year full-immersion made it hard to assess the long-term deterioration of marine structures; besides, the influence of marine ions and the concrete materials itself are complex and no synthetic model to describe the influence properly.
Online since: October 2008
Authors: Manuel Carsí, Oscar Ruano, Ignacio Rieiro, Jesus Castellanos, Julio Muñoz
We are able to determine A(ε), Q(ε), n(ε), α(ε) from the experimental data using Eq. 3.
The data reduction was conducted by means of a differential integrated method [12,13] and the adiabatic heating was corrected by means of an iterative method [14].
The table also gives the Fisher-Snedecor F and R2 values to show the goodness of the data fit.
Squares are experimental data and circles are predicted points.
The predicted values for α(ε), Fig. 2a, are numerically acceptable considering the dispersion of the experimental data.
The data reduction was conducted by means of a differential integrated method [12,13] and the adiabatic heating was corrected by means of an iterative method [14].
The table also gives the Fisher-Snedecor F and R2 values to show the goodness of the data fit.
Squares are experimental data and circles are predicted points.
The predicted values for α(ε), Fig. 2a, are numerically acceptable considering the dispersion of the experimental data.