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The reduction of k-inf value are much little with the addition of Pa-231.
The k-inf value reduction of the cell of the fuel caused by many neutron absorbed by Pa-231.
From characteristic data of Pa-231, its cross section capture was about 200 barn.
From resulted data, could be concluded that addition of Pa-231 significantly reduce excess reactivity and also increase sustainability.
Tsuchihashi, in: SRAC95; General Purpose Neutronics Code System, JAERI-Data/Code 96-015, Japan Atomic Energy Research Institute, Japan (2005) [6] Nuri Trianti, Zaki Su’ud, Eka Sapta Riyana, Design Study of Thorium Cycle Based Long Life Modular Boiling Water Reactors, Indonesian Journal of Physics Vol. 22 No. 4, p. 133-137, (2012)

The carbonation depth data (d) depending on time of exposure to CO2 (t) were used to calculate the carbonation coefficient (K) of each mix proportions, according to Eq. 3 proposals for situations of carbonation under humidity stable condition, based on Fick’s second law [3-5, 7-9].
It is possible to see a large reduction in its percentage when the proportion of water decrease in the mixture.
Only in the 0.48 w/c ratio, was possible to notice a porosity reduction over time.
Days of carbonation Carbonation (mm) w/c 0.48 w/c 0.60 w/c 0.70 w/c 0.75 0 0.00 0.00 0.00 0..00 7 0.30 1.63 2.85 3.68 14 0.52 3.75 4.69 5.80 28 1.81 4.94 7.64 9.34 56 2.76 6.13 9.89 13.38 84 2.88 7.48 12.12 17.08 From the data in Table 1, and based on the mathematical model to predict the carbonation progress shown in Eq. 3, a function was set for each one of the sets of values obtained using the software LAB Fit®.
In addition to the constant K, the software also calculates the model determination coefficient (r²), which indicates how well the sample regression fits to the data.

Optimizing the modal with the new algorithm, the empirical data and method of weighting, the result of quantum chaos multi-objective evolutionary algorithm is more reasonable.
Considering the shape quality, rolling force and power distribution, some objective functions are chosen and solved by an optimization algorithm, then the reduction, tension and other rolling parameters are obtained.
This method can avoid relying on the experience of operators and overcome the shortages of the energy consumption method which require a lot of product data[1].
The relative reduction is as the decision vector.
Furthermore, the experience method is against the new product development, because it needs to accumulate new data when changing Product specifications.

Finally the assessment method based on S-N curve and in-situ monitoring data was applied to a case study bridge.
According to the monitoring data, the characters and effect of overloading and oversize trucks can be analyzed in-depth for the further research.
How to choose an appropriate S-N curve is very important if the test data is absent.
On the base of monitoring data and considering traffic volume increase prediction, the calculation result showed that the fatigue life of deck beam for Qilangwo Yellow River Bridge was 418 years.
The first method was applied to the case bridge, and the fatigue life of the bridge was estimated using the monitoring data and considering traffic volume increase rate.

However, most of current studies took ideal assumptions for the sheet gauge and material property in structural analysis, that is, the influence of residual forming data induced by sheet metal forming process is ignored on the subsequent crash behavior.
Although some numerical studies have been carried out on the influence of forming effects on crashworthiness of thin-walled structures [24], the reported experimental process and detailed data on Forming to Crash analysis are still limited, therefore further study is needed.
The thickness reduction mainly locates on the sidewall of hat channel.
Fig. 4 Collapse modes of crushed specimens Since all the stamped components displayed unsteady collapse modes at final deformation stage, the data of axial force vs. displacement only before 140 mm displacement are shown in Fig.5 (For simplicity, just one set of representative data was selected for the component under each stamping condition subjected to dynamic impacting test.) and Table 3 summarizes the tested peak forces and the mean forces.
It is found that residual forming data are significant factors affecting structure crash performance which can result in different crash behaviors for different forming conditions.

. %) was subjected to extensive cold rolling with a reduction of 80% (true strain of ~1.6) and then annealed in the temperature interval ranging from 400 to 900 oC during 20 minutes.
The hot rolled TWIP steel sheet with 10 mm thickness was cold rolled to 2 mm thickness that corresponds to 80% reduction or 1.6 true strain.
Two specimens were tensile tested to obtain each data point.
The deformation twins are aligned with rolling plane and have the mean spacing of 20 nm at this rolling reduction (Fig. 1a).
Influence of annealing temperature on the Vickers hardness and the recrystallized grain size of Fe-23Mn-0.3C-1.5Al TWIP steel subjected to cold rolling with 80% reduction.

The data processing time at receiving and shipping docks was reduced by more than 90%.
Introduction Radio Frequency Identification (RFID) uses radio waves to exchange data between a reader and electronic tags attached to objects.
The data on the tags can be read and written to facilitate the identification and tracking of the objects.
As data are rapidly and automatically captured through the RFID readers and tags, less operating time and labor are required for warehouse operations.
Moreover, the data processing time at receiving and shipping docks was reduced by more than 90%.

Therefore, it is vital in building production capacity to achieve cost reduction.
The material properties data needed to input into the FE program used could be represented in Fig. 3.
However, when adjusting pressure range 2.3 -1.7 bar, the simulation results showed the reduction of cracking tendency zone on the part (having better formability) as seen in Fig. 7.
The pressure, which adjusted decrease 2.3 bar to 2 bar, had shown the reduction of the crack and cracking tendency zone on the part, when comparing with the previous pressure.
In addition, sincere thanks must be given to Stainless Steel Home Equipment Manufacturing Co., Ltd. for useful advice and providing the importance data about the parts.

The head of dam: according to the real condition of river improvement in the lower yellow river, taking the water erosion which is around the head of dam into account, some deep drawn in the head of dam will be intensified, combined with previous statistical data of the head of spur dike, the greatest depth of scour hole should be 20m.
Strength reduction method.
It is the third definition of slope stability safety coefficient which is based on the concept of strength reduction[8].
The basic principles of strength reduction is that the strength of the material parameters, c, tanφ', are divided by a reduction coefficient, F and get a new group of c', φ',and then take them into the calculation as new material parameters, through the ever-increasing reduction coefficient, F, and repeated analysis on the subject of study until get the critical condition, and now the reduction coefficient have the same concept of the safety coefficient, Fs.
Assuming soil shear strengths of side slope are all the same, shear strength reduction coefficient can be defined as stability safety coefficient of slope, and the safety coefficient can be considered as reserve strength coefficient of safety.

It provides lower rolling force and high reduction of metals, and better crystallographic textures can be obtained.
With an increase of reduction, the strip profile varies from middle waves to edge waves.
When the reduction is 20%, a better strip shape can be obtained.
The strip shape also increases with an increase of reduction.
A Pentium III computer is used for data collection by using Lab Window Software in the experiment.