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Although various complex phenomena occur when different materials/structural members are damaged, it is usually assumed that the presence of damage reflects on a reduction of the effective flexural stiffness.
Concrete spalling and dilapidation Corrosion, dilapidation of reinforced bar or steel members Dilapidation of deck pavement It is shown that all these types of damage can be represented by the reduction of flexural stiffness.
The damage is simulated with 10% reduction in the local stiffness EI.
In addition, there are two advantages should also be noted: l It does not need the expertise of modal identification, does not need any numerical model of the beam and it uses only the directly measured data, without further treatment or analysis.
"Damage identification using modal data: experiences on a prestressed concrete beam", Journal of Structural Engineering, vol.12, 2005, p.1898-1919

Recently, a RBF neural network application developed by the author [13] successfully simulated the accumulating deflections of the pavement layers, according to the measured data introduced above.
It seems that the vertical compression which results in the thickness reduction plays a main role in the first and last stages of about 0-20% and 90-100% of the final deflection of the P401 AC Surface, and the horizontal extrusion which results in the thickness increase or bulge plays a main role in the 1st layer for the other stages
It seems that the vertical compression which results in the thickness reduction has been playing a main role in the 2nd layer for the whole testing process
It seems that the vertical compression which results in the thickness reduction plays a main role in the 3rd layer in this stage.
Tutumluer: Analysis of NAPTF Trafficking Response Data for Pavement Foundation Deformation Behavior.

Introduction At the Copenhagen summit in December 2009 , the committee in the Climate Change of the United Nations Intergovernmental Panel claims,carbon dioxide and other greenhouse gases have become the main reasons for global warming, energy efficiency and emission reduction should be paid more attention by human beings the future[1].In 2009,China's President Hu Jintao pointed out that Chinese new energy efficiency and emission reduction plan will be served as an important direction of our development strategy in the summit of the United Nations Climate Change,which shows that China will greatly reduce carbon emissions in the future, and reduce the consumption of fossil fuels.
According to the research of the developers, the next two years will be a key stage,we will build a low-carbon real estate through the strategic deployment of low-carbon economy,the green estate has played a very important role,especially in upgrading industries, dealing with the economic crisis, the revitalization of domestic demand.Low carbon and energy saving of the brand construction are snapped up in Hangzhou,the systems of the entire building energy which use low carbon emissions throughout its life cycle,and then 250 million KWH of electricity, 830 million tons of standard coal, 2.48 billion tons of carbon dioxide emissions and reduction emissions will be saved in this project.
According to the Figure 6,the life cycle of the building 's carbon emissions data have to be dealt with normalized rating,it comes to a score from the four stages which is divided by the highest score,then the final value is normalized: 0.85,0.6,0.8,0.9 .Evaluation of the analytic hierarchy process which comes from the proportion of the four stages,according to the normalized data and specific gravity which are multiplied and summed to arrive at a final score.Scored by analysis , if it is more than 0.6, then this stage meets the standards of low - carbon , it does not reach 0.6 , and it is not found .

Table 1 Greywater Characteristic Data Parameter COD, mg/L BOD, mg/L pH TOC mg/L TIC mg/L TC mg/L TN mg/L Phosphate mg/L Concentration (n=3) 183 224 7.4 64.9 32.15 54.82 19.30 12.7 Distilled water with Botryococcus sp.
Based on the trends produced, the Botryococcus sp. has reveal a great removal in COD concentration, which is the total reduction efficiency for both concentration were 83% and 88% respectively.
Meanwhile for 100% concentration, it can be viewed from the graph that there is a reduction in the value of TOC from 64.90 mg/L to 39.62 mg/L.
All the data showed is almost the same flow of decrement.
In the meantime, 100% concentration of GW showed a important reduction in the value of nitrogen and phosphate.

Standard industrial hot-forging cycle Modified industrial hot forging cycle Total reduction of about 75% Total reduction of about 75% Solubilisation (AMS2772): Ts=475°C for 5 hours of soaking time Solubilisation (AMS2772): Ts=475°C for 5 hours of soaking time Water quenching Water quenching Room temperature up-setting: 5% max 150°C and 200°C up-setting: 5% max Two step ageing: 121°C for 5 hours + 177°C for 8 hours Two step ageing: 121°C for 5 hours + 177°C for 8 hours The effect of working process parameters was evaluated through tensile tests according to ASTM E8 specification with deformation rate e= 0.03 s-1.
It is observed that deformation temperature has a weak effect on these mechanical properties: there is a slight increase of HB, YS and UTS with temperature with a concomitant reduction of hardness data scattering.
Figure 2 shows a significant increase of KIC with deformation temperature accompanied by lower data scattering.

The Application Running Module The ISCEs run module including control manager and Data Manager, this application controls and data management functions can be dealt separately.
Data Manager will begin to prepare for the execution of tasks, creating a task execution environment, creating point to point communication channel inner interactive tasks to achieve the task of data transmission.
Data Manager.
The completion time reduction for LU to decompose sub-task is not obvious, because the task of calculation has some data transfer and communication delays.
For the matrix inversion and matrix multiplication, with the increasing number of working machines, the task completion time is quick, because these two sub-tasks only are delayed in the stage of data transmission and data collection.

Due to the statistical nature of strength in ceramics, a two-parameter Weibull distribution was used to analyze strength data [3].
The next step is to convert this set of data into an experimental probability distribution.
As shown in Fig. 3, there was a gradual reduction in strength as the severity of the thermal shock was increased, consistent with previous data found in the literature [4].
This suggests that there is a good correlation between the set of data obtained by thermal shock and ageing tests.
There is a good correlation between the set of data obtained by thermal shock testing and ageing testing.

Therefore, the measured data are all projected data plumbing with the spray central axis.
Experimental Parameters Parameter Value Parameter Value Nozzle Type 4×0.36×150º Camera Frequency[/f/s] 4000 Injection Duration[ms] 3 Ambient pressure [Mpa] 0.1～2.0 Fuel Flow Rate[ml/s] 13 Resolution Factor 320*128 Pump Speed[r/min] 400 Temperature [K] 295 Injection Pressure [Mpa] 22 Impinging Angle[ º] 13.5 (1) (2) (3) Fig.3 Develop course of spray Equations (1), (2), (3) are the calculation of penetration, diffusing angle and diffusing area, respectively. , are the penetration of actual and testing data,, are the spray area, is actual spray angle, is testing spray angle, is the angle between spray central line and horizontal direction, is impinging angle.
With an increase in impinging distance, there is a reduction in (a)The effect of ASOI on diffusing distance along wall surface (b) The effect of ASOI on diffusing area Fig.5 The effect of ASOI on spray characteristics Fig.6 The effect of ambient pressure on diffusing distance Fig.7 The effect of ASOI on rebound distance rebounding and diffusing of the fuel.
As a result the reduction in momentum must be the largest among these three impinging distance.

These materials show a combination of high strength and exceptional plasticity, which has led mainly auto companies to devise their application aiming weight reduction, fuel economy, reduced CO2 emissions and increased passengers safety [1].
Since the values given by Eq. 6 or 7 include phantom grains, the real nucleation rate for each annealing time can be calculated only for the deformed grains by [11]: (9) Materials and Methods The experimental steel with the chemical composition presented in Table 1 was molten in an induction furnace, hot rolled and then cold rolled with a 45% thickness reduction, resulting in a 7 mm thick strip.
The recrystallized fraction was plotted against the annealing time at 700°C (Fig. 3a) and the data were linearized according to Eq. 1 and 2 yielding the values of k = 1.11 and B = 6.01 x 10-4.
In this figure only the data for times between 100 s and 1800 s were plotted, as in the case of Fig. 3.
The constants of the JMAK model applied to the experimental data suggest a homogeneous recrystallization, contrary to the experimental observations.

Therefore, this research aims to develop a system for forecasting of the monthly delivery quantity of the palm fruits from plantation to the palm oil mill such that the estate’s profit will be increase through reduction of unnecessary workforce costs and supply shortage.
The quantitative forecast techniques consist mainly of analyzing objective or hard data, meaning that they usually avoid personal biases that sometimes contaminate the qualitative methods [2].
Therefore, in this research, the quantitative methods are more suitable due to availability of the delivery data.
This is equivalent to 4.27% reduction in percentage of errors.
In short, these results emphasized the superiority of the additive method in forecasting the delivery quantity of palm fruits on data given by the estate.