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Harbin Clinic Road thesis double-arch tunnel project as the basis, the construction process through its hole + CRD using the finite element simulation analysis and on-site monitoring measurement data processing, engineering arch tunnel song used in the wall study the mechanical properties.
Figure.2 Wall force convert in the construction process Middle wall stress analysis As an important load-bearing walls in the double-arch tunnel structure, which is closely related to the force in the form of the construction process, the analysis of the wall in both the construction process, the wall construction process with effective stress changes, shown in Figure 4-4 - 7,4-4-8 shown by comparative analysis because the first step of an excavation hole left, then the right excavation hole in the wall left, right uneven stress concentration in the excavation process, the maximum stress 14.2Mpa, and with a significant reduction in stress during the excavation, the final state of total stress contours significant concentration phenomenon (Figure 3).
Wall stress in Step 1 Wall stress in Step 1 Figure.3 The results of the wall stress data Middle wall stress analysis As an important load-bearing walls in the double-arch tunnel structure, which is closely related to the force in the form of the construction process, the analysis of the wall in both the construction process, the wall construction process with effective stress changes, shown in Fig.3 and 4 shown by comparative analysis because the first step of an excavation hole left, then the right excavation hole in the wall left, right uneven stress concentration in the excavation process, the maximum stress 14.2Mpa, and with a significant reduction in stress during the excavation, the final state of total stress contours significant concentration phenomenon (Fig.3).

Computed results and comparisons with the experimental data are presented and analyzed.
The tree data structure begins with one root cell defined at depth 0.
Yet the present study adopts an omni-tree data structure.
The whole lift curve in the computation results is higher than experimental data.
We mainly use the omni-tree data structure and face-to-face algorithm.

Differential Evolution is utilized to generate inner polynomial parts and to find appropriate coefficients to experimental data obtained from other publications.
The function is optimized to fit experimental data from Dash and Makhlouf [7] with utilization of genetic algorithm and differential evolution.
Fig. 2 demonstrates the flow of GA-DE to search for good fit polynomials of the function to experimental data.
The dataset used here is experimental data earlier published by [7].
In addition, it can be clearly seen in Fig. 3b that the predicted porosity promisingly show good fit to the measured porosity of 9 validation data reported by Dinnis et al. [11].

The actual production data shows LTP-DS process is able to improve the performance and quality of high strength steel from all aspects.
This has been already fully proved by actual production data.
Fig. 1 Leveler and Temper passing Process for finishing of hot rolled high strength steel Actual application data of LTP process.
This has also been proved by practical production data.
Practical production data shows: (1) LTP-DSV process has higher capability for controlling residual stress level and performance stability of products than the traditional hot temper passing process

This paper presents an experimental finding in the Split Hopkinson Pressure Bar (SHPB) technique to obtain a better compressive stress strain data for rubber materials.
In this paper, we modified the conventional SHPB technique to obtain more accurate dynamic compressive stress strain data for NBR rubber.
These fluctuations cause the invalid stress strain data of the SHPB experimental in rubber material.
It improves the validity of experimental stress-strain data extracted from the SHPB method by keeping the duration of loading period under a constant strain rate longer than without a pulse shaper.
The pulse shaper offers an optimum incident pulse that make the experimental stress-strain data valid under high strain rate using the SHPB technique in rubber specimen.

An experimental comparison is presented which shows a good correlation between the simulated and the measured data, furthermore, the possible reasons for the deviations are eventually discussed.
The current goal with this simulation model is to try to simulate the stator winding’s temperature as close as possible to measurement data while having the option for the future to calculate almost every component’s temperature accurately with minor changes to the model.
Fig.8: Comparison of simulation results to measurement data Another possible usage in the future would be to determine design errors in the early phase of development.
Fig.9: Velocity vectors colored by temperature Summary The original goal at the beginning was to get a good match in terms of temperature between the CFD simulation and the measurement data at the stator winding.
Aerodynamic noise numerical simulation and noise reduction study on automobile alternator.

With a gradual reduction of dampness there the depth of radiation penetration increases. [1] Figure 2.
Assessing the options of individual methods and taking into account the need to achieve the required values as soon as possible, the microwave technology was selected. [1, 4, 9] Progress of Drying The entire course of drying can be best demonstrated using the data measured in the dampest area.
The stored data can be transferred to a PC and processed using dedicated Moist Analytics software.
When evaluating the measured data, differences were found in regard to the course of drying of the control spots.
At the time of the interruption of drying for two days there was a significant matching of values of moisture between the surface and the depth of 300 mm as well as an overall noticeable reduction in the amount of water.

The output voltage of the battery was monitored by a data acquisition system (National Instruments NI USB-6210) via a customized Lab VIEW interface on a computer.
As shown in Fig. 6, reduction and oxidation peaks could be observed at 0.2 V and 0.45 V, respectively.
The oxidation peak and reduction peak represent the anodic and cathodic electrocatalytic activity, respectively.
The CV data was stable for ten sweep cycles.
The data of ten continuous CV sweep cycles of the air-cathode used in sample ⑤.

Since the reinforcement replaces the matrix composition, there is an effective reduction of the sintering liquid, thus limiting the maximum amounts of second phase that can be advantageously used.
The values obtained for these micrometer size particulate composites are lower than the fracture toughness of hot-pressed whiskers or nanosized particles reinforced composites [9] but are consistent with data obtained on pressureless sintered composites [10].
The matrix was further mechanically characterized, and the following data were obtained: 4-point bending strength of 800MPa, Weibull modulus of 11, and Young’s modulus of 280GPa.
These values are in agreement with data published for bulk, unreinforced Si3N4 materials produced by both pressureless and pressure assisted densification Fig. 4 Evolution of Vickers hardness as a function of: a) sintering time and b) SiC volume fraction, for materials sintered for 2h at 1750ºC.
The toughening mechanisms are here attenuated by the Si3N4 aspect ratio and the grain size reduction due to the SiC particles.

Introduction As there are a large number of electrical transformer districts in power grid, and the low voltage network is huge, the low voltage network loss reduction is of great significance.
Loss reduction effect is difficult to guarantee.
(6) The type and length of low voltage power grid wire is not usually easy to get, here introduce the concept of total unbalanced degree, as an auxiliary of line loss optimization in the case of the lack of data.
Secondly, set the property of maps, making maps associated with the data of electrical equipment that the maps represent.
The main function of form is to provide human-computer interactive interface, users can access and modify the data in custom property Custom Properties of the Shape Sheet through the forms [6].