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The calculation results for the crushed stone coincide well with those recommended by the current Code of《DNV-rp-f107_2010》, which is on the basis of experiment data, implying the feasibility of using this program to estimate the energy dissipating capacity of the geo-materials.
Parrales[4] provided one method which can quantificationally describe the ability of energy dissipation by introducing some factors, such as the factor of energy dissipation, the factor of reduction and so on.
Since the calculation results coincide well with those recommended by the current Code of《DNV-rp-f107_2010》, which is on the basis of experiment data, implying the feasibility of using this program to estimate the energy dissipating capacity of other geo-materials.

And the simulation results of pressure drop were validated by the experimental data.
Pressure and differential pressure sensors 8. microcomputer and data collector Figure.1 Experimental system diagram Figure.2 Taper pipe diagram Table 1.
This is because, when the diameter ratio grows up, the degree of the area reduction increases, and when two phase flow through the taper pipe, and then the frequency of collisions by the gas-solid flow and the wall increases.

A method of data-transmission based on wireless network is analyzed and a scheme for intelligent fault diagnosis on the basis of Bayesian network is laid out.
At present, the exact inference algorithms are: multi-tree propagation algorithm, group tree propagation algorithm, figure reduction algorithms, combinatorial optimization algorithms.

Through simulation analysis of nonlinear finite element, research ideas on moment modulation coefficient of unbounded prestressed concrete (UPC) continuous beam is proposed ；Based on detailed analysis of the equivalent length of plastic hinge and curvature ductility, the two factors which influencing margin of moment modulation, calculating formulas of curvature ductility coefficient and moment modulation coefficient are established; Compared with the experimental data, the results which provided basic data for further research on plastic design of UPC continuous beam.
The results analysis of this paper are based on experimental data and nonlinear finite element; The influence of secondary forces, prestressing degree, effective prestress , global reinforcing index , grade of non-prestressed reinforcement, strength of concrete and other factors are discussed; The two key factors of equivalent length of plastic hinge and curvature ductility of beam section are analysized; The calculating formulas of equivalent length of plastic hinge , curvature ductility coefficient of beam and moment modulation coefficient are established.
Fig.3 Dimension and reinforcements of simulated test beam Simulation results is in good agreement with the experimental data by simulating test of 12 UPC beams ,which have been done by the China Academy of Building Research[4].
The influence of concrete strength and grade of non-prestressed reinforcement are considered by using reduction coefficient.
Through curve fitting of calculated data, calculating formula of curvature ductility coefficient is given as follows: (2) In the formula, ac is the influence coefficient for different strength of concrete.

Three IMS prototypes, one for each group of chemical compounds, were assessed with respect to data repeatability, lower detection limit and response time.
Chlorine was collected in a buffered aqueous potassium iodide solution and analyzed as chloride after reduction by IC.
TABLE II: IMS data and comparison to reference measurements for acidic gases and chlorine.
HF 20.2 1.8 18.3 HF 5.1 2.0 3.2 Cl2 48.6 103.6 45.2 21 - 75 Cl2 19.9 29.7 17.1 Cl2 5.1 7.2 4.6 The data, represented in Table II, show that the ion chromatography data are in good agreement with the set concentrations (initial conditions) while the IMS constantly displayed too high concentrations for HCl and Cl2.
TABLE III: IMS data and comparison to reference measurements for NMP.

However, there is no one method that is able to obtain all outgassing data [6-8].
Fig. 4 shows the sample data measured using the throughput method.
The data obtained by the system for screening materials for satellite are shown in Table 1.
[6] American Vacuum Society Standards AVS 9.1 Reporting of Outgassing Data
[7] American Vacuum Society Standards AVS 9.2 Reporting of Thermal Degassing Data

The Frequency Response Function (FRF) plot of the accelerometer A3 is reported in Figure 13, while experimental modal data, extracted with the circle fitting technique, are presented in Table 1.
Details on the test set-up and the full set of experimental data are included and commented upon in [6,7].
The 3D model, taking into account 5 numerical frequencies, permitted a more complete exploitation of experimental data, even if an increased number of unknowns was present.
Rotational data acquisition resulted more effective for static than dynamic tests.
Requiring the solution of an inverse problem, static and dynamic model updating results appeared to be very sensible to available quality of experimental data.

Two different sets of EBSD data were acquired from the partially heated sample before roll forming.
The second set consisted of data from five different areas in the normal direction in the centre of the heat affected zone.
The black dots schematically show where the EBSD data were acquired.
Prior to the characterization of the microstructure a noise reduction of the EBSD data was performed including replacement of incorrectly indexed isolated points followed by removal of some of the zero solutions.
Data are taken from [1].

Graphs and tables were drawn based on the data.
All tables and graphs, which are shown below, have been selected and are representative to indicate and support the analysis not all of data is listed, but results drawn below from analysis of the data below.
The R-Sq values of both Ra and MRR are greater than 90%, which mean the model fits the data in the experiment well.
The normal probability plots of Ra and MRR are shown in Fig. 2 and Fig. 4 respectively it can be seen that the data shows a normal distribution.
So the data collected in this paper are reasonable, and worth to analyze.

Information about displacements and strains in the form of digital data is available for each registration moment.
Figure 4a shows a loading plot with a marked moment, for which data are presented.
Data presentation for the 160th step of the registration: a) loading plot with a marked moment, for which data are presented, b) strain distributions along the line, c) visual representation of strain maps Strain distributions in the welded joint for the selected points of loading are shown in Figure 5a.
The presented strain data were read in the WM from the face side (line 0) and in the centre of the weld cross-section (line 1).
For the BM, strain data that were registered in the place of the occurrence of the highest strain level (along line 0) are presented.