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From home, outside the related data that appear most, arch dam accident due to abutment instability caused by.
Valley alluvial deposits is great thickness, according to borehole data of the site, valley central is the 25m ~ 33m, two side a bit thin is about 15m.
The left dam shoulder´s main geological characteristics of the structural plane detailed data are showed in the table below 2-2.
Calculation method uses the limit equilibrium method, according to the space problem to analysis the block stability, structural and mechanical parameters of rock mass,all the datas are in table, and the load combination is as follows: Mix 1(normal temperature drop):dam came force + slider weight + corresponding osmotic pressure; Mix 2( normal temperature ascending):dam came force + slider weight + corresponding osmotic pressure; Mix 3 ( dead water level temperature ascending):dam came force + slider weight + corresponding osmotic pressure; Mix 4 ( check temperature ascending):dam came force + slider weight + corresponding osmotic pressure and Seismic load; Mix 5 ( combined 1 drainage failure):dam came force + slider weight + corresponding penetration Earthquake stress + Seismic load.
The anti-slide safety coefficient calculation formula： In tpye： ——Arch axis force； ——Arch beam bottom end and the corresponding radial force； ——Beam bottom vertical force； ——Rock mass； ,——The side surface and the bottom surface are respectively the friction coefficient； ,——The side surface and the bottom surface are respectively the cohesion； θ——Slip plane and arch end radial angle； φ——Slope angle； δ——As the rupture surface of high dip angle； ——Slip length； ,——The side surface and the bottom surface are respectively the uplift pressure, uplift reduction coefficient for drainage； Normal working hours，αvalue 0.35；Drainage failure，αvalue 0.5.

In addition to this advantage, FSW is also characterized as having a strengthening effect, which results from significant grain size reductions.
This reduction occurs due to the extreme straining of the material at relatively low temperatures [1].
This data presents ample evidence to the tool path's effectiveness in controlling the temperature profile during welding.
The data shown in this figure represents the average of a total of four samples taken at two different locations (two per location) along the weld, as described in the Methodology section.
No distinguishable trend could be realized from this data.

Tooth damage causes a reduction in gear tooth stiffness, thus it can be modelled by reducing the stiffness function periodically, with the period of the gear with the damaged tooth.
The simulation of the time-varying loads, observed in wind turbines systems was done using FAST, AeroDyn and ADAMS codes, developed by National Renewable Energy Laboratories, and these gearbox torque data were inputted to the 2DOF gear model.
Concluding, the author suggests that other methods must be tested too for the cases described, and experimental data would prove really useful for the continuation of this study.
References [1] Wind Turbine Data Summary Table 2, WindStats Newsletter, 2007, 1, 20
Ball, "Gear tooth stiffness reduction measurement using modal analysis and its use in wear fault severity assessment of spur gears", NDT & E International, 2003, 36, 357-372

In the future the use of press hardening steel will continue to grow, further contributing to weight reduction of the car body.
This is clearly supported by the many published data of the hole expansion ratio (also called λ-value).
Improvement of critical bending angle (VDA238-100 test conditions) through Nb microalloying in 22MnB5 (Production data).
However, the scatter of the measured data is quite large making a clear conclusion difficult.
The data scatter could be related to reproducibility issues under these test conditions and sample preparation.

Injection molding has become a major method to shape and process plastic gears for the sake of costs reduction and increase in productivity.
Fig. 5 Coordinate values of involute tooth profile of mold cavity Save the aforesaid coordinate values of involute tooth profile of mold cavity in the form of Excel data file as a “Gear.txt” file and select the Save as Type as “*.txt”.
Attention: Make sure that the first three columns of the *.txt file are coordinate values of X, Y and Z while converting and saving the Excel data file as “Gear.txt” format, as the system will default the first three columns to coordinate values of X, Y and Z when the data file is opened in SolidWorks. 3D modeling of involute gears.
Next, click “OK”, and the involute defined in the Excel data file will be generated in SolidWorks.
Click the command button “Cutting Split” of “Mold Tools”, select the front view as datum plane, draw a circle with φ110 whose center coincides with the mid point of the model, and exit from the sketch.

Results of experiments of Baker (1986) showed that reduction of scour depth in live-bed condition due to nonuniformity of sediments is less than clear water condition [3].
To verify SSIIM program, experimental data of Chang et al. (2004) for clear water condition were used.
The values of NRMSE show that there is a good agreement between the numerical simulation and the experimental data.
Numerical data of scour depth (mm) NRMSE = 0.2688 NRMSE = 0.2326 Experimental data of scour depth (mm) Figure 3: Experimental and numerical scour depths for the first hour of experiment Acknowledgements The authors would like to thank Dr.
Wen-Yi Chang in Science-Based Industrial Park, Hsinchu, Taiwan, for sharing the experimental data.

In most cases, the test frame of indentation machines is assumed to be rigid, i.e. the deformation of the frame is neglected in the data interpretation.
Load and displacement are both important for the data interpretation, the displacement difference will change the whole shape of load-depth curves and affect the accuracy of the data interpretation.
Table1 The uniaxial tensile tests at room temperature of 20Cr1Mo1VTiB steel Specimen Yield strength [MPa] Tensile strength [MPa] Hardening exponent Elongation [%] Reduction [%] Steel-1 876.6 945 0.0952 22 69 Steel-2 888.5 963.5 0.09526 20 67.5 3.2 Spherical Indentation Tests The spherical indentation were carried out in a continuous indentation system at room temperature.
As the calculated radius is obtained from the formulas including some hypothesizes, so the observed frame compliance is more reliable and recommenced for using in data interpretation.
The observed frame compliance is more reliable and recommenced for using in data interpretation.

Results of this mathematical model were validated with available experimental data at special locations in the domain.
For this problem experimental data could be available for different heat sources and different locations of the source in the room.
And the VHS model considered in this study considered to be safer compare to the experimental data.
Conclusion The numerical prediction of air flow induced by fire in an enclosure during the fire development is of great importance, because it provides data and dictates actions that concern building services.
Tran, Data reduction of room tests for zone model validation, J.

Each set of �-� data was fitted to the saturation stress-type Voce equation.
The directionalities and r-value can be observed from the data in Table 1.
An evident formability reduction is observed for plane strain conditions, which agrees with previous results obtained for several metals [4].
Figure 3 shows that the FLDs predicted with Yld’-96 are in very good agreement with the experimental data.
Solids, Vol.45, No.11/12,pp.1727-1763, 1997 0 0.1 0.2 0.3 0.4 0.5 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 �2 �1 Exp. data LSP UT-BS BS-UT Yld96 LSP UT-BS BS-UT UT-PS BS-PS �=1,0 �=0,0

Table 1 Mechanical property Material Specimen diameter d(mm) Yield strength Re(MPa) Tensile strengthRm(MPa) Re /Rm Percentage elongationA(%) Percentage reduction of area Z(%) Base material 5.96 295.5 453.4 0.65 30.93 59.78 5.98 305.2 469.4 0.65 28.13 53.91 5.96 311.5 463.7 0.67 30.73 58.49 Average value 304.1 462.2 0.66 29.93 57.39 Weld 5.93 376.9 506.0 0.74 24.00 67.9 5.99 372.9 514.6 0.72 19.53 59.33 5.95 372.5 509.2 0.73 29.73 66.57 Average value 374.1 509.9 0.73 24.42 64.6 Fig.2 P−Δl curve COTD. [6]According to BS7448, we adopted 10 Three-Point Bending specimens.
Fig.3 Three-Point Bending specimen Table 2 CTOD result Specimen CTOD δc (mm) Average CTOD δc (mm) Specimen CTOD δc (mm) Average CTOD δc (mm) Base materia 1 0.57230 0.55684 Weld 1 0.58630 0.52786 2 0.52735 2 0.48201 3 0.50987 3 0.52351 4 0.59145 4 0.54260 5 0.58321 5 0.50486 Stress Analysis Fracture assessment of BS7910 need to get the magnification data from primary membrane stress (Pm),  primary bending stress (Pb) ,secondary stress and the local or general not continuity or the wrong side primary membrane stress[4].In this study, pressure vessel is analyzed by finite element software ANSYS, necessary stress data is obtained and database is established.
Because the defect is planar defects, so do not use flawed composite module.Fracture assessment module into the defect occurs after the first description of the interface is the interface defects.Select rating objects (compressed air accumulator) and defect characteristics (inner surface of the circumferential surface crack), the size of the defect data input fields: a is the crack depth 2mm, crack half-length c is 4mm.Enter the compressed air accumulator structural parameters: diameter Ri is 530mm, wall thickness B is 10mm.
Material selection interface is mainly formed by the material properties database.Select the defect location in the material: weld, and then automatically generate the compressed air accumulator from a database of material properties of weld data.
Into the stress interface by entering the coordinates of the location of the site where the defect, defect location can get the classification of stress data.Shown in Figure 6, height h: 200mm, arc θ: 1.The assessment of defects in parts of the existence of stress concentration, stress concentration factor Ktm and Ktb Enter 1.5.Click on the "stress concentration factor calculation" button, the system will automatically determine the existence of dislocation type defects and calculate the corresponding concentration factor Km: 1.17.In most cases, there is no stress concentration location, these factors are 1.