Search results

Fig. 2: a) The conventional and actual curve; b) shear stress-strain curve Where: τr - tensile strength            τc - yield strength τe - elastic limit τp - limit of proportionality The method used in this case as principal stage: Ø data colecting about deformations of sheet metals Ø using a software for finite element numerical simulation Deform 3D Ø data acquisition Ø interpretation of data Ø data validation Interpretation data and Post-Processing To analyze the behavior of these materials to cold plastic deformation using Deform 2D software have the following steps: Fig. 3: Steps necessary for the analysis In Deform-2D simulated 4 types of material: 2 types of steel (AISI 1010, AISI 1137); grade 1 titanium and aluminum 2024 used in the construction industry.
Fig. 5: Prediction deformation forces in the Y direction for four types of material Using the post-processor in Deform 2D extracted data on the state of stresses and strains occurring in the 4 types of material studied.
Proprieties mechanical of materials [4] [7] Proprieties Titanium Grade 1 Al 2024 AISI 1010 AISI 1137 Tensile strength [Mpa] 240 ......... 365 584 Yield strength [Mpa] 170 ......... 305 344 Elongation [%] 24 ......... 20 26.8 Area reduction [%] 30 ......... 40 53.9 Hardness ......... ......... 105 174 Elastic modulus [Gpa] 105-120 70-80 190-210 190-210 Conclusions Deform 2D software was developed at first for simulations of plastic deformation processes hot and cold being able to draw some conclusions for the parameters obtained by simulation.

Runoff No hydrology observations for LiuGou watershed.According to the mean annual runoff contour map of reference [1],annual runoff Richard LiuGou watershed was 10.0mm.The design flood data were Deriving from the storm. 1.4.Sediment and ice conditions No sediment transport measured data for LiuGou river,the sediment grain size was 2-5cm,the largest was 8cm, the skeleton particles was about 50-55% of the whole weight,the gravel particles are weathered , particle size with depth increases, filling were sand and silt and sand was dominant, medium dense,graded in general.No information on ice conditions measured .
According to survey data of the Yellow River flood,show that the Yellow River,Tao He,Xiahe and Bailong River Basin have a greater flood in 1904,the flood is occurred in Gansu widespread.
But the historical flood survey data show that in 1904 there is no investigation into Liugou floods,so should be determined the maximum flood for 1904 to now was in 1976 of Liugou flooding,after which then did not investigate the Greater Flood.So the first peak flow should be determined in 1976, the historical flood occur through the first investigation from 1904 to 2013,1976 flood return period was 110 years.
Calculate Design by Storm Data Flood Instantaneous Unit Law References on the design storm information have reference[3] and [4] for available currently,taking into account the literature [4] belongs to the latest research,the data series ended in 2000,its contour map of the surrounding area is a comprehensive point rainfall values,combined with topography,climate and other factors,according to the hydrology characteristics trends painted hook end, so point rainfall value stem from reference[4].results.Hundred years of design flow calculation results show in Table 1.
Table 1 Calculation results of design flow per hundred years Hour（h） Parameters of Point rainfall reduction factor of point and area Shape change factor Per hundred years Average（mm） CV CV/CS KP Point rainfall（mm） Area rainfall（mm） 1 15.0 0.65 3.5 0.865 0.919 3.44 51.6 41.0 3 0.867 0.919 67.5 53.8 6 27.0 0.55 3.5 0.8701 0.919 2.96 79.9 63.9 24 36.0 0.45 3.5 0.890 0.905 2.52 90.7 73.1 Select the main peak of the Yellow River during a three-hour rain comprehensive overview of the process allocation rain type,press 3 hours,6 hours,24 hours surface rainfall according to same frequency,calculate process surface rainfall of per hundred years,surface of the basin belongs to the loess region,conducted by loess area runoff infiltration rate of the average runoff calculation f, tc=3h,Ptc=46.6mm,f=8.77mm/h,the runoff of rainfall each time period by subtracting the amount of net rainfall infiltration process,total net rain deep h=27.3mm.Before the rainfall runoff and for the early loss of

Abstract: Finite element (FE) model updating of structures using vibration test data has received considerable attentions in recent years due to its crucial role in fields ranging from establishing a reality-consistent structural model for dynamic analysis and control, to providing baseline model for damage identification in structural health monitoring.
Model updating is to correct the analytical finite element model using test data to produce a refined one that better predict the dynamic behavior of structure.
The effectiveness of the proposed method is then validated by updating a scaled suspender arch bridge model using the simulated data. 1 Introduction Structural model updating is to correct the analytical finite element model using test data to produce a refined one that better predict the dynamic behavior of structures.
Finally, the conclusions are drawn. 2 Procedure of Meta-model Method The procedure of meta-modeling can be described as follows: (i) selection of experimental design for generating the data, (ii) choosing a proper meta-model to model the data, and (iii) fitting the model to the observed data.
Finally, the effectiveness of the proposed method is validated by update the FE model of a scaled arch bridge model with simulated data.

The models are generated in CATIA based on the clinical data obtained from a patient using Ultrasound Doppler.
The simulations will help to interpret the existing in vivo data, and eventually lead to the development of improved imaging techniques [2].
Initially, steady state flow characteristics in the carotid bifurcation are studied based on the standard geometry obtained from actual data considering Newtonian flow.
The plaque length is 3D with 75 % area reduction to accommodate the 75 % stenosis at ICA bulb region.

Based on the data collected, an analysis was performed to identify the best quality hole.
In some instances, dry and semi dry drilling are preferred due to the reduced energy consumption as well as a reduction of polluting substances [6].
The force data acquisition was acquired by attaching the material to the dynamometer which relays the data to a control unit and a computer.

The RegCM4 performs well in “current” climate (1970-1999) simulations by compared with the available surface station data, focusing on near-surface air temperature and precipitation.
The Huang-Huai-Hai (3H) region in China, which comprises most of the North China Plain, has experienced a reduction in precipitation at an average rate of 2.92 mm year−1, and a temperature increase at an average rate of 0.20 °C decade−1 with minimum temperature increasing more rapidly than maximum temperature since 1950 [2].
Previous studies have already demonstrated that RCMs can generate regional scale details of climate variables more accurately through downscaling forcing data from GCMs [7; 8].
Kilsby, Using regional climate model data to simulate historical and future river flows in northwest England.

The research offers the main data and results of a comparing study on the influence of using the enhancement tools in IF through FEM.
The principal requirements of any numerical simulation are to ensure that the material data, tool motion, surface interaction and lubrication conditions are reproduced accurately in the model in order to provide process data that are realistic.
Material data for Al 1050 H14 Property Density, ρ kg/m3 Tensile Strength MPa Young’s modulus, E GPa Elongation A Poisson’s Ratio, ν Tangent modules, Eτ GPa Value 2700 105 - 145 71 12 Min % 0.3 0.5 The forming tool movement is at a 45o angle, with 0.2 mm step size in X and Y directions, as illustrated in Fig. 3.
The profiles data defining the product forming by FEM simulation are presented in Fig. 6.
The increase in the deviations is an effect of the reduction of the deformed material amount between the fixture and the enhancement tool.

The data was obtained from EPER (European Pollutant Emission Register).
The obtained data from these measurements shows that every parameter, except NOx and particulate did not exceeded the Serbia regulatory emission limits.
Was verified that the model agrees well with the experimental data, especially in low and moderate convection atmosphere.
Validation by Experimental Data.
Stajic, Data analysis of the gas emissions in the thermal-power plant firing fuel oil and natural gas, Int.

Based on these data, the structure and scale of the power grid to be assessed are formed
(2) Simulation data modeling.
After the boundary condition ascertained, it can be start to prepare the simulation data.
In order to improve work efficiency, new simulation data is modified on foundation of data in the previous year, which can save the workload
This will provide monitoring data support for improving medium-term stability assessment.

n=(Zα)2×19×Cpk2+121-CpkCpk2 (1) Then, check the normal probability plot of this data, the data can be represented by a normal distribution if P-Value is greater than the ⍺ at 0.05 [7].
Perform assumptions checking to ensure that the data roughly fits a model.
Evaluation result of Process Capability: Distribution of data is bell curve.
The result of Model Adequacy Checking is also acceptable (P-Value of Normality test is >0.05, Data is also independent and have stability of σ).
This data is also reliable because the measurement system is very low variation.