Search results

The data of acceleration history for shaking table experiment directly have been set on the LS-DYNA analysis model.
The friction coefficient is evaluated by average of experimental data.
The time history of experiment data for VCC and AOS is 53.5 and 61.0 seconds respectively.
Fig. 3 The channel direction of digital data in experiment.
The stiffness of pad for AOS resulted of the reduction of displacement while shaking.

Hot stove combustion in the economic operation mode, which not only to realize constant temperature heating, and energy saving and emission reduction.
Because the neural network training data is limited, it can not cover all the cases, so the prediction must have a discrepancy between the output and the actual system.
In order to test the fitting degree of forecasting results and the measured data.
Test time interval is 1 minutes, the measured data and the prediction results as shown in figure 4.
By comparing the predicted values with the measured data of temperature curve of the curve, we can find that the forecast result and the actual change is consistent with the basic.

The Inference Engine is used to interact with both knowledge base (extracted from human experts or specific literature and typically being in the form of a set “IF THAN ” rules), and specific data base, provided by the user.
Partial conclusions based on these data are temporarily stored in the Working Memory in order to find the solution of the particular problem. [1, 2, 3, 4].
Coupling Knowledge Base and Data Base To build the expert system used for choosing the couplings, a classification scheme of the couplings was created as it can be seen in figure 2.
It is important to build a complete data base for a good expert system application.
Table 2 Deviation Torque Meaning transmission moment Constructive dimensions Assembly / disassembly Force Orientation Mechanical coupling with front teeth - High Two-way Small Extremely simple - - Intermittent rigid couplings - High - Small coupling only for synchronous movement - - Couplings to compensate for radial deviation (transversal) coupling Schmitd Radial - - made important reductions in overall - - - sleeve couplings - Small, high - 70-100mm - Axial, of shear Horizontal, vertical Coupling Algorithm Base Expert system inference mechanism works as follows: Expert system reads the database and inserted into the agenda questions that meet the facts, which has the following syntax: attribute value In agenda are multiple choice questions to answer after which it associates a fact.

The data is presented as mean and standard deviation (SD) calculated over three data points at least.
Results and discussion Au-Au2S NPs were obtained by reduction of tetrachloroauric acid (HAuCl4) using sodium sulfide (Na2S) [2].
Combination the earlier data of MTT assay, two-stage cell transformation assay in vitro, hemolysis assay, pathological examine [5-7], it is thus suggested that those NIR sensitive nanoparticles are non-toxic below the maximum recommended dosage.
Considering the earlier reported data [1, 5-7], it is possible to employ NIR sensitive cisplatin-loaded Au-Au2S NPs for cancer therapy in the future.

BIM helps the whole project to achieve the goal of energy saving, cost savings, pollution risk reduction, which meets the need of a green construction project.
The project data which formed in design and construction stage can be easily used into facility usage phase.
So the test data can be made full use by the building space management, operations management, property management and maintenance planning.
The BIM is not only the 3D data model building, but also to achieve the synchronization of construction, structure and appliances information.
BIM links project planning, design, construction operation and other aspects together to achieve information data modeling.

Three different samples of each composition were sintered and the results listed in this article are the average data obtained for these samples.
Data on composition and compressive strength of the samples are listed in Table 1.
Figure 1- SEM image of diamond-Si composite Data on hardness and fracture toughness are listed in Table2.
This reduction in mobility thus leads to an increase in the fracture toughness of the diamond-SiC nanocomposites.
According to the literature data, better hardness results are obtained for pressures above 7GPa.

Clustering factor of geological hazard assessment Clustering factor grayⅠ grayⅡ grayⅢ grayⅣ the mean annual rainfall/mm ≤200 200-400 400-600 ≥ 600 relative height/m ≤100 100-200 200-500 ≥ 500 ground slope/(0) ≤10 10-25 25-30 ≥ 30 geomorphological type 1 plains low hills 3 hilly plateau 6 plateau mountain 10 steep mountain rock and soil type 1 hard rock 10 not hard rock 18 broken rock 22 loose rock and soil fracture density/(km.m-2) ≤0.05 0.05-0.1 0.1-0.2 ≥ 0.2 earthquake intensity ≤5 6 7 ≥ 8 vegetation cover rate/% ≤60 60-30 30-10 ≥ 10 human activity 1 complete vegetation no mine project 3 slight damage vegetation few project 6 middle damage vegetation few project 9 heavy damage vegetation many project To eliminate the influence of dimension, the data must be properly pretreated before application of the sample data.
In this paper, the average standard processing data had avoided the influence of the great value of the original sample and different units.
The distribution of actual geological disaster development in Shulan is in Fig3.on the basis of the statistical data in last 50years.
The results of calculation and the method in this paper can develop disaster prevention and reduction of loss of geological disaster in Shulan regional.

Indeed, the grain size reduction is one of the main factors enhancing the sensing properties in case of nanocomposites.
The X-ray diffractogram (Fig.2a) of Ag-Pani nanocomposite exhibits a broad and intense peak in the range of 10-25o which can be attributed to polyaniline [7] whereas the sharp peaks at 2θ values of 37.67 0, 44.310 and 64.12 0 correspond to the silver metal which are in well agreement with the A.S.T.M. data.
The FT-IR spectral data of exposed and unexposed Ag-Pani nanocomposite is given in table 1.
Table1: FT-IR spectral data of Ag-Pani nanocomposite before and after exposure to ammonia vapors.
The FTIR spectral data of exposed samples when compared with that of the unexposed one, revealed notable changes in the quinoid and benzenoid band positions.The band corresponding to the benzenoid structure (~1486 cm-1) is found to shift towards lower energy with increased intensity and sharpness in ammonia environment.

The advantages of modern manufacturing process have confirmed the need for automated system over the traditional way of manufacturing in terms of cost reduction, mass production, improved quality, increased competitive advantage, better management control and increased flexibility [1].
The common procedure of machining for TCM was employed for the acquisition of data during the different machining phases.
Pre-processed signals were channeled to the BNC board and to the National Instrument’s (NI) data card for further processing and storage.
The interfacing is done by using LabVIEW graphical data logging software.
Each machining test pass was conducted along the length of the workpiece and the AE data of each pass was recorded (Fig. 1).

The specific weight and percentage of absorption was also determined, taking as data the specific weight saturated with dry surface (Pe sss = 2.65), the specific weight (Pe = 2.62) and the percentage of absorption (%A = 0.96).
We decompose the gravel to obtain the right diameter for our calculation (data) V.
We test with the simple compression machinery to obtain the data of last effort and the settlement of each specimen. 1 2 3 4 5 Fig. 2.
Analysis and Results In the following tables we can see the data obtained by the simple compression machine of the different schemes already explained above.
The reduction of the settlement obtained by the hybrid column technique is directly related to the distribution of the average soil tension with the hybrid column.