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Online since: May 2011
Authors: Xiong Yan Li, Zong Cai Deng, Xiao Chen Feng
The study concentrates on three tasks: analytical investigation; test of compressive strength of bricks; comparatively studies using two PMCAD models with emphasis on ratio of resistance to effect, and data of inter-story displacement angle.
To contribute to reduction of losses and the improvement of safety, the new Code for Seismic Design of Buildings requires higher seismic fortification intensity and more strict seismic construction measures[2].
This paper only presents data of the first, second and fifth story considering the biggest effects of torsion generally behaves on first story, the representative of the second story and particularity of the fifth story.
Online since: January 2013
Authors: Kwang Yong Kim, Jin Hyuk Kim, Kyung Hun Cha
The results of flow analysis for an axial compressor with smooth casing are validated in comparison with experimental data for the pressure ratio and adiabatic efficiency.
Validation of Numerical Results The three-dimensional RANS results have been validated in comparison with experimental data [9] by the previous work [12].
In comparison with the smooth casing, the circumferential casing grooves contribute to a significant reduction of the near-stall mass flow except for case 1, and thus to the enhancement in the stall margin.
Online since: October 2014
Authors: Lucie Vackova, Ludek Spas, Lukas Zizka
This includes a comparison of obtained data against normative requirements dealing with shrinkage, and a subsequent a comparison of samples, since the observations are done under the exact same boundary conditions Introduction The aim of this paper is to take a closer look at shrinkage of industrial concrete floors and to explain and name the several types of volumetric changes.
High water ratio leads to a reduction of volume because of a subsequent evaporation of water from the concrete mixture.
Data acquired from the measurement can be stored and subsequently processed graphically.
Online since: May 2014
Authors: Li Yang Xie, Zhi Liang Hu, Xi Jie Zhai, Xue Hong He
Malik introduced the age reduction factor and put forward the concept of effective age [5].
Researchers select a group of fault data, which is represented in Table 1 Table 1 System fault data Maintenance frequency i Maintenance interval T (h) Maintenance frequency i Maintenance interval T (h) 1 1998 11 735 2 1808 12 665 3 1636 13 602 4 1480 14 544 5 1339 15 493 6 1212 16 446 7 1097 17 403 8 992 18 365 9 898 19 330 10 812 20 299 Preliminary statistical treatments were done with above fault date, and then the exponential model which is proposed in this section is established.
The researchers select a group of fault data, which is represented in Table 3 Preliminary statistical treatments were done with above fault date, and then the above model is established.
And the model parameter η, m and k can be got through statistical analysis combining with system historical and empirical data model.
We obtain the approximate function expressions of the system's maintainability parameters of these devices through the curve fitting for data, and analyze the maintenance policy for the living examples.
Online since: September 2012
Authors: Chou Chen Wang, Zhi Hao Huang, Han Yen Chen, Jyun Liang Li
In addition, the parallelism between algorithm execution and data movement has been fully exploited using DMA.
A 192 KB internal SRAM can be divided into 64 KB level-1 cache for program (L1P) and 64 KB for data (L1D).
A leve-2 cache (L2) unified for data/program is 128 KB.
The DMA controller allows moving data between memory and peripherals.
Also frequently accessed data have been moved internal memory.
Online since: February 2014
Authors: Geng Ming Zhao, Tao Feng, Li Qian Liang
When simulation verified to meet system design requirements, it promotes next step that convert floating-point data type module to fixed-point data type.
However, this model cannot support fixed-point data type and generate HDL code.
One issue needs to be noticed that each part of this model could back up fixed-point data type.
Fixed-point tool can calculate and recommend data scale according to its limits and get methods for overflow handling, scaling, and rounding of fixed-point data types as Fig.9.
Hulbert,“Energy-Based Model Reduction Methodology for Automated Modeling”J.
Online since: April 2016
Authors: Yu Jun Feng, Kang Le
Experimental data The experimental data are come from the impedance analyzer: fr (resonance peak frequency), fa (anti-resonance peak frequency), Zr (resonant peak impedance value), Za (impedance anti-resonance peak value), Clow (low frequent capacitance) .
From the above data using resonance method to calculate the dielectric constant , elastic compliance coefficients, electromechanical coupling coefficient, piezoelectric coefficient, mechanical quality factor, dielectric quality factor and other parameters.
Table 1 Comparison of calculated data error for PZT-4 PZT-4 S11E/(10-10m2·N-1) k31 d31/10-12C·N-1 Calculation data 0.116 1400 0.34 130 Standard data 0.112 1300 0.34 122 Difference 3.2% 7.1% 0% 6.6% Table 2 Comparison of calculated data error for PZT-8 PZT-8 S11E/(10-10m2·N-1) k31 d31/10-12C·N-1 Calculation data 0.112 1045 0.3 97 Standard data 0.112 1000 0.3 97 Difference 0% 4.5% 0% 0% The tables above are calculation data and standard data of equivalent model parameters for PZT-4 and PZT-8 samples without bias.And standard data comes from the manufacturers,the calculation data are the average of multiple measurements.The above tables show that the calculation data of elastic compliance coefficient electromechanical coupling coefficient and piezoelectric coefficient with 13 mode are basically the same as the standard data,it shows that the equivalent circuit and calculation method for the vibration mode of piezoelectric materials are feasible.
Data Fitting In this experiment, it is hope to draw a function of the parameters (measured and calculated data) and applied bias.
Since the principle of parameter changes under the bias is not clear, this work is still in progress, it use spring oscillator model data fr (resonance peak frequency) to make a fit.
Online since: June 2012
Authors: Samih Isber, Z. Golacki, X. Gratens, S. Charar
The errors on the data were estimated to 2%.
Only few points of the data were displayed for a better view.
The values of x and cD were kept constant as obtained from the magnetization data.
The data were fitted over the whole range of temperature from 2 to 300 K.
Fewer points of the data were displayed for a better view.
Online since: September 2017
Authors: Gennady G. Mikhailov, Larisa A. Makrovets
Tabular data frequently present just the total amounts of rare earth elements, i.e.
These data are given in Table 1.
Literature fails to provide any solid data on the phase diagram FeO–Y2O3–Cr2O3.
These data are listed in Table 3.
These data are given in Table 5.
Online since: October 2013
Authors: Yun He Lu, Yan Shen, Guo Qing Zhang, Heng Rong, Wen Bin Yu, Zhi Zhong Guo
Besides, the reduction of the components leads to a small volume of transformer.
It can be seen that the testing module fits the data measured well.
In other words, when cosine is 0 or 1, there is a large difference between the measured data and fitting curve.
Test was conduct repeatedly to examine the fluctuation of data point.
The value of error can describes the accuracy degree of the measured data.
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