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Divergence between the experimental data is due to the absence of the characteristic linear plot, corresponding to an elastic stage of deformation, on the charts of concrete “stress-strain deformation”.
Results Coefficients (a, b, c) are calculated from the comparison of experimental and theoretical data.
It is clear that the accounting of volume deformation q variability has to correspond to experimental data, with material constants established from direct experiments.
Rahmanov’s [6] experiments 0.8271 -1.7065 Theoretical dependences of F–h calculated by formulas in Eq. 1 and Eq. 11 are compared to experimental data when axial compression is available.
Comparison of theoretical and experimental data: 1) dependences of the corrected values of stresses (F) on those of deformations (h); 2) dependences of the corrected values of volume change (J) on those of deformations (h).

This article analyses factors influencing the Inner Mongolia carbon emission from 2001 to 2010 by using LMDI model and discusses how to achieve a win-win situation between economic development in national regions and reduction of carbon emissions.
The empirical analysis Because there is no data of Inner Mongolia real-time monitoring of carbon emissions, the article uses estimation method which multiplicates all kinds of energy consumption and their corresponding carbon emission coefficient to estimate the in Inner Mongolia carbon emissions from 2001 to 2010.
（in Chinese） ] Energy types Coal Oil Natural gas Unit:t c/ t sce 0.74 0.566 0.432 The data in table 2 mainly comes from Inner Mongolia statistical yearbook.
In view of statistics data consistency, the paper chooses Inner Mongolia GDP on 1995 unchanged.
In recent years, the power of Inner Mongolia’s energy conservation and emission reduction is increasing.

Data Calculation HB I 0 10000 20000 30000 40000 50000 -1.5 -1 -0.5 0 0.5 1 1.5 Strain (%) Exp.
Data Calculation HB II 0 10000 20000 30000 40000 50000 -1.5 -1 -0.5 0 0.5 1 1.5 Strain (%) Exp.
Data Calculation HB III 0 5000 10000 15000 20000 25000 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 Strain (%) Exp.
The difference to experimental data may result of some slip between the concrete and the GFRP profile.
The lower contact surface area of concrete to GFRP profiles in those beams allows for a reduction of adherence.

The technique can suppress the wide-band jamming and fast follower jamming with array aperture reduction and effective element loss.
The received complex-valued data vector can be expressed as (3-1) Where , and denote the waveforms of the desired signal, the ith coherent interferer and jth uncorrelated interferer, respectively.
CTMV The desired signal is removed from the array data with other coherent interferers unchanged by using a linear transformation in CTMV[11].
Considering that there is a linear transformation , it satisfying (4-1) The transformed data (4-2) Except for the desired signal, the only difference between (4-2) and (4-1) is the uncorrelated interference and noise.
In other words, the transformation should minimize the error between the original data and the transformed data (4-3) Where is the covariance matrix. , and denote the expectation, the vector two-norm and trace operator, respectively.

However, relatively few studies have focused on predicting the fatigue life and performance degradation of piezoelectric actuators [10, 11], because the primary concern is to enhance the static actuation displacement and fatigue studies are time consuming, as at least a million cycles of actuations are necessary to obtain one data point.
To analyze and restore digital data to a PC, a data acquisition system (National Instrument PCI6024E) and LabVIEW program were used.
Since one test took an average of 2 weeks, the lubrication state was checked everyday and the room temperature was maintained at 25� C to prevent any increase in the lubricant’s viscosity. 2.3 DATA ACQUISITION During the test, the actuation displacements were measured with a non-contact laser sensor five times per second.
Since there were so many data points, the graph was drawn using one point every hour, 18000 cycles.
Until one million cycles, there was only a very slight reduction in the displacement, which then increased around one million cycles.

Current attention is focused on human health risk reduction concerning the release of hydrocarbons to the environment.
Within each tier, risk assessment and remedial action are appropriately tailored to the extent of available site assessment data.
Higher tiers (Tiers 2 and 3) involve a greater degree of sophistication and expense for data collection and modeling but may allow overall cost savings because site-specific target levels are established as remediation goals [3-4].
The time frame of risk assessment will establish the appropriate risk reduction strategy.
After sufficient analytical data and other relevant site information were collected, risk-based evaluation using RBCA protocol was performed.

Nowadays, beside the consumption reduction the reliability and safety requirements according to structural elements of vehicle industry have significant grown; at the same time statistical data show, that third portion of damages leading to fracture occur in welded joints, while their near four fifths happen to cyclic loaded structural elements.
Fig. 3 summarizes our test results and results from the literature [3], and the measured data and the determined S-N curves.
Seven point incremental polynomial method [4] was used to evaluate the fatigue crack growth data.
Table 6 summarizes the average values of Paris-Erdogan constants (C and n) from our examinations and the comparative data (light grey cells) from the literature (n. of s. = element number of sample).
The data can be found in Table 6 demonstrates the same tendencies between the orientations (in case of BM) and among the notch positions (in case of FSW WJ).

Ru substitution at Mn sites leads to reduction in TP and increase the overall MR.
In order to understand the conduction mechanism responsible for the electrical transport in the metallic region, we have analyzed the resistivity data using the Zener-double exchange polynomial (ZDE), expressed as ρ = ρ0 + ρ2T2 + ρnTn
We have fitted the metallic region data of all compounds to all these equations but best fit could be obtained for ρ = ρ0 + ρ2T2 + ρ4.5T4.5
The fitted resistivity data are shown as line in Fig. 2 (a, b and c) without magnetic field and fitted values of the constants are tabulated in Table 1.
It is clear from the linear fits as symbolic line of ln(r/T) vs. 1/T that, the data fit well to the SPH type of conduction in the insulating region does not obey the other models.

Theoretical models are usually derived from a shear zone model of chip formation, assuming a steady-state cutting data.
The various forms of regression analysis concentrate on using existing data to predict future results.
Methodology Table 1 shows the experimental data obtained using carbide inserts.
Table 1 Experimental data for each cutting inputs.
From the value of R2 (89.88%), the fits of data can be measured from the estimated model.

Experimental softening (black symbols) and recrystallization (grey symbols) data.
The mobility data can be well fitted to an expression: [m4/Js].
The model predictions are compared with the softening and recrystallization data in Fig. 3.
Comparison of softening (black) and recrystallization (grey) data with the model predictions.
Fig. 4. a) Precipitate size predictions and experimental data and b) Precipitate number density and volume fraction (normalized by the equilibrium fraction) predicted by the model.