Search results

According to the data of mineralogical analysis, the sand 1 after fractional preparation involved 60-65% quartz grains; 30-35% quartz-feldspar grains consisting of heavily modified feldspar, quartz, biotite and hornblende; and about 5% individual grains of plagioclase.
These data indicate that after 14 days the expansion of the sample containing non-treated sand does not exceed the critical value (0.1%) thus behaving as non-reactive aggregate [2].
The obtained data presented in Figure 3 show that heating of the sand 1 provides a certain reactivity for this sand initially inactive towards ASR, especially in the case of slow cooling.
Generally, the obtained data suggest that heat or EB treatment of sands inactive to alkali effect provides Portland cement mortar or concrete aggregates which reactivity to alkalis depends on processing (heating/cooling, irradiation) parameters.
The observed effects can be accounted for structural transformations in the materials, particularly with EB-induced changes in their surface functionality, i.e. increase in the content of reactive centers on the surface of initially inactive components or reduction of surface activity for components initially containing reactive groups.

And the results suggest that weak decoupling can be detected regarding data from 1997 to 2008.
Statistical Data and Results All the data is not included data from Hong Kong, Macau and Taiwan.
It is obvious that decoupling of EC and WC depends on the reduction of agricultural WC in the foreseeable future in China.
The continuous and huge reduction of agricultural WC is the main cause of strong decoupling of agricultural WC from GDP of primary industry and vital to the weak decoupling of WC from EG.

Comparison of the predicted fracture Energy to the experimental data.
The comparison of the predicted fracture energy for the four cases mentioned above with the experimental data of Rodovic and Lara-Curzio [10] is shown in Figure 2, and good agreement are found.
Figure 2: Predicted fracture toughness of porous materials [MPa.m 0.5 ] compared to experimental data [10].
The effect of pores-crack interaction on the growth of the crack in the ligament of the porous material is considered, which results in fracture toughness reduction.
The predicted fracture toughness for the porous NiO-YSZ material is compared to the experimental data [10], and a good agreement is observed.

From this method, hydrogen is generated by hydrogen ion reduction on the cathodic side either at a constant voltage or at constant current.
This novel method offers a considerable reduction in test time, which could last for 19 hours.
The hydrogen ion diffusion coefficient in the iridium oxide Water Bath PC Computer HP4145B Analyzer MOSFET Dark Room pH Buffer Temperature Controller film is obtained by fitting the experimental voltage-pH response drift data into equation (7).
The modeled data was computed based on equation (7) using known and extracted parameters: Cs/Cb= 0.02, L= 100 µm and a = 1.0001.
Figure 3 shows the measured voltage-pH drift data with a simulated D value of 4×10-12 cm2/s.

Specific practices of least squares fit: For the known data(xi,yi), i=1,2,L,n,search for f(x) in Φ，which is a given group of functions.
To clearly visualize the data, the results of transient responses near the targets and steady-state error responses are enlarged and shown separately due to the large difference in data magnitudes.
Therefore the statistics data shows the positioning error achieved within 8.6nm.
The positioning error during the steady-state is a reduction in the positioning error by a factor of more than 3 relative to the position system without the control scheme.
Experiment results show the efficient and robust of the control scheme and prove that the positional accuracy has been readily achieved within 8.6 nm, which is a reduction in the positioning error by a factor of more than 3 relative to the position system without the control scheme.

Nominal stress history converted from the calculated histogram data using lane flow method [4] for random load history was compared with notched S-N curves and then fatigue life was predicted by applying cumulative damage method.
AMSY4-SF and PCL-812PG were used for AE signal acquisition and data signal acquisition, respectively.
The loads of 50%-20% yield strengths were applied having a 10% reduction interval, while the load ratio was 0.1.
The predicted results were calculated by the simple flow-lane method using random load data.
The prediction of inflection point in the slope of the AE cumulative count when the crack occurred and propagated is a very useful data.

Civanlar et al. [5] considered one feeder pair at a time for loss reduction and derived a formula to estimate the loss reduction which would result from carrying out a particular switching option.
They have also developed the approximate power flow method to estimate the loss reduction.
Lee, Distribution feeder reconfiguration for loss reduction, IEEE Trans.
Wu, Network reconfiguration in distribution systems for loss reduction and load balancing, IEEE Trans.
Cho, Energy loss reduction by critical switches, IEEE Trans.

These process data were collected in a central SQL database and subsequently analyzed [27].
To determine the real data, energy consumption and the number of units produced per period of time were measured.
The Global Warming Potential (GWP) was determined with the aid of the GaBi® databases for individual raw materials and with data sheets of the machines.
Key Findings Analysis of real production data shows that the process times for each ready-to-use lens have been significantly reduced.
In the following, the processes are considered normalized to 1000 pieces per shift to ensure comparability of the data.

In this method, wavelet function is performed as kernel function for mapping input data in SVM theory.
In the training process, the data set was also trained using RBF kernel function as comparison.
In this work, WSVM can accurately recognize the conditions of gearbox from all input data except data kernel IC with 85% accuracy of training and testing.
All data set come from component analysis are accurately classified using Haar wavelet kernel and SVM.
Vapnik, Estimation Dependences Based on Empirical Data, Springer Verlag, Berlin, 1982.

In order to study the influence of the action of coupling earthquake to sliding base-isolation structure and improve its effect of vibration reduction by means of optimizing its major parameters.
The same effect of transmissibility reduction of seismic forces, as for the model of the reservoir, was achieved (5–10 times less than in the case of the fixed base model).
The position of static equilibrium is taken as locating datum.
Table 2 The comparison of seismic responses before and after optimization relative acceleration peak value a/cm·s-2 reduction after optimization /% relative displacement peak value △/cm reduction after optimization /% inter-storey shear force peak value V/kN reduction after optimization /% loading condition 1 311.67 —— 5.49 —— 1455.99 —— loading condition 2 329.11 —— 5.78 —— 1534.24 —— loading condition 3 358.40 —— 6.29 —— 1661.58 —— Optimization loading condition 1 288.74 7.36 5.10 7.10 1348.10 7.41 Optimization loading condition 2 303.75 7.70 5.35 7.44 1418.71 7.53 Optimization loading condition 3 327.77 8.55 5.74 8.74 1519.44 8.55 Conclusion In view of that SGA has such frequent shortcomings as premature convergence, oscillation and over-randomization in iterative process, a new genetic operator named transgenic operator had been developed for the purpose of improving GA.