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In contrast, during compressive straining, a very intense 0002 reflection emerges, coincident with a reduction in intensity of the 0110 reflection.
Datapoints show average strains recorded over each data acquisition interval.
These are due to creep during each data acquisition period.
For comparison to the tensile data, compressive strains have been multiplied by a factor of -1.
The intensity variations in the third and fourth cycles follow those in the second cycle very closely, with no evidence of a reduction in twinning or untwinning activity.

(3) Particle spacing increases gradually under the action of such pressure while coarse aggregate is subject to the action of vibratory impulses too and gets into relative movement so that the built-in extrusion acting force between coarse aggregates suffers damage, which leads to great reduction of friction inside concrete.
It can be known from Eq. (1-1) that void water pressure increases, the angle of internal friction decreases, the shear strength of concrete disappears, and concrete stays temporarily in a liquefied condition; the appearance manifests the beginning of bleeding on the surface and quick reduction of volume.
Experimental data show that, after 60 s in vibration, the vibrational viscosity coefficient of type A air-entrained concrete no longer increased and showed a tendency of decrease.
The rising heights of buoys in air-entrained concrete increased by 57% or so during the experiment, as compared with normal concrete (PT); at the same time, it was found through comparison of standard deviation values of acquired data that the transfer of vibrational energy in air-entrained concrete was more even and its standard deviation value decreased by 36% as compared with normal concrete.
Fig.3 Effect of air entraining agent types on the yield stress and plastic viscosity of mortar It can be seen from the data in Fig 4.3 that different types of air entraining agent added to cement mortar change the rheological mechanical behavior of cement mortar to different extents.

According to this equation, the sintering rate (dX/dT) is the result of two antagonistic effects that develop simultaneously with increasing temperature: a notable reduction in viscosity (h (T)) and an increase in the sintering degree (X).
As may be observed, the agreement between the experimental data and the calculated values is excellent.
Comparison of the experimental data with the values predicted by the model. a) Variation of the sintering degree of progress with temperature; b) Variation of the sintering rate with temperature.
At temperatures above 1000ºC (step III), when the temperature rose, the amorphous phase content increased practically exponentially (Fig. 6), which, together with the reduction in amorphous phase viscosity, also exponentially increased the densification and the densification rate (Fig. 5) up to temperatures close to 1100ºC (final sintering step). 4.
It was verified, in fritless glazes, that the effective viscosity values, obtained from the sintering model, agreed very well with the experimental data (fixed viscosity points) and the values estimated from the modified Müller model.

A specifically designed clip-on stainless steel axial extensometer connected to an optical position measuring system was used to collect the stress-strain data.
A general reduction of UTS is noted for the samples tested at 235°C.
After a 6 h aging, an average reduction of 56 and 60 HV (approximately 50% lower than the peak hardness) can be observed for the sand cast and permanent mould cast alloys, respectively.
In conclusion, an empirical correlation between Vickers hardness, yield stress and tensile stress (Fig 3c) was analysed by combining data from six independent samples: A356, N, V, A356 T6, N T6,V T6 sand cast.
While the strength in the T6 condition, for both the casting process, shows a small decrease at HT as compared to the RT. (3) Ageing curves show a significant loss of hardness in the T6 alloys between 30 min and 1 h exposure time at 235°C After 6 h ageing, no evidence of heat treatment is observed in the investigated alloys. (4)A linear correlation between the hardness values obtained after the HT tensile test with those obtained after heat treatment, confirmed that static time exposures of 5 min and 10 min finely approximates ageing occurring during the HT tensile test.(5) Empirical correlations between Vickers hardness, yield stress and tensile stress were obtained by combining data from six independent samples.

The data obtained from laboratories and secondary data were used to develop an empirical model.
The main data used in this study were obtained from the laboratories result.
The descriptive statistics result showed the statistics information about the parameter data.
Summaries of descriptive statistics data for MDD model Variable/Predictor Mean Std.
Summaries of descriptive statistics data for OMC model Variable/Predictor Mean Std.

However, the main drawback of this group of damage detection methods is its limited applicability to operational data.
Its application together with classical modal filter allows for damage detection using operational data with other type of excitation.
However, the main drawback of this group of damage detection methods is its limited applicability to operational data.
In the simulation zero initial conditions were specified, exponential window was applied to the output data.
Comparison of ODS filter and modal filter applied on the same operational data As far as operational data is concerned, method presented in the article seems to be working better, in comparison with modal filter designed mostly for FRF data, as fewer distortions can be spotted in the output, especially around natural frequencies of a system.

Meanwhile, analysis of vibration types of transformation and rotation under seismic action is also carried out, in order to provide reference data for further elastic-plastic analysis.
However, the vibration of the structure often became the main reason of the engineering accident including damage of the structure, accuracy decreasing of a device or reduction of its reliability etc.

Additionally, a validation from the simulation through a comparison with the experimental data at similar conditions was performed.
The results presented a good agreement between the experimental and simulated data.
It was considered also, that the oxidation and reduction reactions were in equilibrium.

And we predicted the agricultural sources of emissions of AN and COD with the data from 2008 to 2010.
Because these models demand high data quality, however the basic data are insufficient in China now.
Meanwhile, by inputting data from 2008 to 2010, the model will be used to predict the agricultural source pollution emissions of AN in Jilin province.
Meanwhile, by inputting data from 2008 to 2010, the model will be used to predict the agricultural source pollution emissions of COD in Jilin province.
And under the condition lacking of data, compared with farmland scale model and watershed scale model, bionic BP neural network model is more feasible.

Designing a visual monitoring system to detect fire flame is a complex task because a large amount of video data must be transmitted and processed in real time.
This real-time fire monitoring system uses the motion history detection algorithm to register the possible fire position in transmitted video data and then analyze the spectral, spatial and temporal characteristics of the fire regions in the image sequences.
This tends to result in a large reduction in the computational costs.