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We compare our results with experimental data and find that they are in good agreement with the available experimental evidence.
Simulation on Magnesium with random texture Magnesium alloys have attracted great attention in recent years due to their potential application in the automobile industry for improving fuel efficiency through vehicle weight reduction.
In this work we have used these data to model the deformation characteristics of Mg.
We have activated these four different deformation modes to match the simulated stress-strain curve with the experimental data.
It can be seen that the simulated curves match very well the experimental data.

The components are joint using pulsed magnetic fields which apply radial pressures of up to 200 MPa to tubular work pieces causing a symmetric reduction of the diameter with typical strain rates of about 104 sec -1.
Introduction The reduction of weight of motor vehicle body components is commonly reached by introducing lightweight materials in the automotive industry.
Though there is a large scatter of data, several interesting findings are obtained.

Pyranose-2-oxidase of Gloeophyllum catalyzes oxidation of glucose, whereas laccase produced by Rhizopus catalyzes oxygen reduction.
On the other hand, laccase of Rhizopus catalyzes the oxygen reduction.
HPLC data of Fig. 3 indicated that under these conditions, both P2O and laccase yields were maximum.

The role of two strengthening mechanisms - dislocation accumulation and grain reduction - is highlighted.
The results of phenomenological modeling of the monotonic and cyclic response of ultra-fine grain metals are presented in terms of dislocation kinetics and a satisfactory agreement with experimental data is demonstrated.
It seems not possible to give a comprehensive answer to this question today because of apparent deficiency of systematic experimental data on the mechanical behavior of these materials.
However, in view of rapidly growing interest to this topic, it may be timely to make a brief survey of presently available experimental data and to overview possible implications related to the mechanisms of plastic flow and mechanical degradation of UFG SPD metals.
Reasonably good fitting of experimental stress-strain data has been obtained.

The data including the carbon trading price, oil price, coal price and gas price, are first calculated and the data clusters are embedded in the Excel Database by year and season.
To countries and industries, greenhouse gas reduction credits and emission rights have become very important assets.
The data analysis and data storage can be easily manipulated with this database.
For comparison purposes, the data set was divided into two parts: the training data and testing data are shown in Table 1.
Case No. of training data No. of test data MAPE（%） MAE RMSE（%） 1 86 18 8.49 0.1910 9.16 2 467 23 13.14 0.1877 11.86 3 429 63 8.81 0.1884 10.46 Figure 1.

In addition, reduction of elastic modulus directly reflects concrete carbonization.
The reduction coefficient is defined as the ratio of elastic modular of equivalent local element with cracks and without cracks in the simple model： （2） Whereis the elastic modular of equivalent local element without cracks damage, is the elastic modular of equivalent local element with cracks damage, then damage severity reflecting the local concrete cracks and carbonization can be denoted as below: （3） In the formula, {TTP}12289 , respectively reflects the reduction degree of local concrete cracks and carbonization on the stiffness.
Table 1 Reduction factor of flexural rigidity Damage 10% 20% 40% 50% 3.2% 5.1% 11.9% 16.8% 1.3 Damage’s identification of multi-span continuing bridge 1.3.1 Strain modal’s difference vector Consistent with the structural displacement modal, strain mode is structural inherent dynamic characteristics [6], and strain modal is very sensitive to structure partial damage, research shows that strain modal’s difference vector between intact and damaged structure can accurately reflect local structural damage; Therefore, on the condition of decorating the reasonable strain modal positions according to the damage characteristics, the strain modal’s difference vector can be effective index as the structural damage diagnosis.
In order to perform the damaged region diagnosis based on the neural network method, normalization index of strain modal’s difference vector is selected as the input data of neural network.
In order to effectively simulate the error influence from data’s measurement and modeling in the actual engineering, the strain modal vector is added by Gaussian noise vector with zero mean, then the strain modal value is described as below [7]: （6） In the formula, is Gaussian noise’s random variable, and is degree of noise.

The channel characteristics of wandering reach was analyzed, and then based on the measured data and model test data, the formation conditions, basic characteristics and influencing factor of the fluvial process law in wandering river were analyzed.
Materials and Methods The Lower Yellow River measured data between 1960 and 2008 are used in this article.
The verification tests have been done using the data of 1982, 1963 and 2001 after the model was built.
The measured data and model test data were analyzed and show that: (1) the degree of natural evolution is proportional to the variation amplitude of water and sand.
Conclusions The formation conditions, basic characteristics and influencing factor of the fluvial process law of wandering reach of the Lower Yellow River were analyzed based on the measured data and model test data.

In theory, any material can be tested by stretching a biaxial cruciform specimen, but must be investigated in what way the shape of the specimen influence the data obtained.
In order to provide more useful data, cruciform specimens must satisfy a set of requirements: · possibility to align (center) the cruciform specimen in test system; · generation of homogeneous fields of biaxial stresses and strains in central part, large enough, so failure occur in the gage section; · localization of yielding in the central area; · possibility to observe evolution of stress state after yielding initiation; · to accept ratios of arbitrary biaxial loading, in order to generate an envelope of failure; · values of stresses in the region tested to be comparable to the nominal values obtained by dividing forces applied to the transverse area, etc.
To improve the biaxial stress state from the middle of the specimen was proceeded to a thickness reduction, the cutting up having various forms (Fig 1.b presents one of them).
By effectively combining three factors: geometrical shape, thickness reduction and introduction of the grooves can be obtained an optimal cruciform specimen.
Finite element modelling The concept of a multiaxial testing system capable of producing input data in constitutive relations for a particular type of material creates the perspective of reducing the number of tests performed, increasing the quality of the experiments and getting fast results that can be used later in the design process.

The results are expected to provide useful experimental data and theoretical basis for the practical emergence disposal of methanol leakage.
However, at present no foam is reported in the emergency decontamination of methanol leakage and no relevant experimental data is available, so its actual application is limited.
The impact of the decontaminant amount and composition on the decontamination effect was studied, the decontamination mechanism of foam decontaminant on methanol was explored and the practicality of the foam decontaminant was assessed to provide experiment data and theoretical guidance for its application.
Experiment Results and Discussion The ratio between the reduction value of the methanol vapor concentration in the box after decontamination and the methanol vapor concentration in the air prior to decontamination is defined as the decontamination rate and is used as the decontamination efficiency assessment criteria
But the reduction of methanol vapor concentration is limited at a given water mist amount.

This study has evaluated nine empirical correlations using an experimental data bank consisting of 1504 data points for 8 distinct gas-liquid combinations and 19 tube diameters ranging from 5.00 mm to 57.1 mm.
Agitated tank, 3.Coiled heater, 4.Agitator motor, 5.Air pump, 6.Temperature data-logger, 7.
Each time a temperature reading was taken (every 5 seconds), the data logger would save it.
When analyzing the experimental data, the size of the bubbles was determined by comparing the picture pixels to the impeller shaft.
Rao, “Heat transfer and gas holdup in a two-phase bubble column: Air-water system — Review and new data,” Exp.