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Critical Initiating State and 2D Lagrangian Analysis of Pressed TNT Shi Huan1, Weijun Tao1,a, Fenglei Huang2, Guoping Jiang1 1Earthquake Engineering Research Test Center Of Guangzhou University, 510405, China 2State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing, 100081 China atwj2012@hotmail.com Keywords: Pressed TNT; Lagrangian analysis; Shock initiation Abstract: Shock initiation experiments on the explosives pressed TNT was performed to obtain in-situ pressure/radial displacement gauge data for the purpose of determining the Ignition and Growth reaction flow model with proper modeling parameters.
Fig.2 shows the particle velocity of shock front is fast with the increase of shock front pressure, and then the particle velocity reduction fast.
Fig.3 shows the relative volume at first time have a slightly reduction, which mainly for the shock front compressed the explosive, then more and more high.
There experimental data were used to calculate the particle velocity, relative volume, internal energy and fraction reacted by 2D Lagrangian analysis method.

Robustness against local property changes and spatial scattering requires distributed sensing and appropriate data mining and data fusion techniques, allowing to reduce data redundancies and to save only the useful information.
Distribute sensing means many sensors and a huge amount of data to handle.
Indeed, nodes are provided with an onboard processor; therefore, every node, instead to send "crude" data to the nodes responsible of the data gathering, can just carry out simple elaborations and transmit required and already processed data [5].
As it will be shown later, Data Mining is useful not only for handling redundant experimental data but also as powerful aid in case of stochastic model updating.
However, the realized part represents a good starting point for future upgrades: supposing future applications, it's possible to expect to enclose new algorithms for data generation and analysis and for the handling of structure properties data and model data too.

Theoretical empirical sound absorption models based on Delany and Bazley such as Miki, Wu and Allard – Champoux were utilized to validate the experimental data.
The empirical models were in agreement with experimental data; Incorporation of an air-gap between the fabric layers had a positive influence on the overall sound absorption behavior of barkcloth fabrics rendering the fabric a good sound absorption material.
Synthetic materials such as polymer foams, glass fiber, polyester, mineral wool are the leading sound absorption or noise reduction materials used.
It’s observed that the model is in good agreement with the experimental data (Fig. 5).
The models were in agreement with experimental data at lower frequencies.

The reason of the performance reduction can be explained as follow.
For convenience of data collection, four 3-cells stacks are conducted and each of them are treated as unit modules similar to single cells in normal μDMFC stacks.
The experimental data shows that due to the modification of mass transportation path, more than 25% power enhancement is achieved.
Similarly, the 20% reduction points on these figures are at about 3.0h and 1.0h respectly.
The result data shows that the new structure of μDMFC stack has a higher power output and slower deterioration of performance by time.

On this background, the calls for Energy conservation and emission reduction growing higher and the concept of low-carbon lifestyle has been pretty well understood, thus the development of new-type energy conservation catch the eyes of the whole world.
For the calls of Energy conservation and emission reduction”, ground source heat pump come on the Energy conservation stage for the advantages of clean and economical, having got extensive development. 1.Introduction of Heat Pump Technology 1.1.History of Heat Pump In the early nineteenth century, Carnot published a thesis on Carnot cycle.
Therefore, people lost their interests in the study of water resource heat pump. 2.1.3 Water resource Shortage Related data shows that there are imbalances in the underground water distribution in our country.
According to the dynamic monitoring of groundwater data in Changchun, the moisture content in the part of the shallow section of the ground have been exhausted and there is a water reduction as the ground water over-exploitation[1].
Program 1: To continue to use the oil burning boiler to supply heating-update oil burning boiler and accessory pipeline 1)Initial investment The initial investment consists of the expense for buying the oil burning boiler, updating the old accessory equipment and installing and debugging the pipeline 2) Operation costs The owner provides operation data, expense for diesel, power consumption, labor cost and so on and the total expense is about 881,900 yuan.

The results indicated a considerable error reduction for the estimated data, in comparison with the original data, as high as 75, 68 and 78 percent for roll, pitch and yaw angles, respectively.
In order to simulate the effects of a 2 second shadowing, we intentionally produced a data gap by removing 60 data points from the measurements (Fig 6).
Fig 6- The orientation data of the optical tracking system with 60 missing data points (in the time period of 19 to 21 sec).
Fig 7- Comparison of the optical (red), real (black) and estimated (green) data for roll angle while missing 60 data points.
Fig 8- The error of the original roll angle (red) and that of the estimated data using the proposed fusion algorithm (green) while missing 60 data points.

Input data for FEM plasticity modelling is true strain true stress curve.
The data behind ultimate strength are necessary to calibrate by the help of Bridgman, MLR correction or trial & error method.
Reduction of the cross section for large plastic deformation happens in the forward cold extrusion of long products.
Multistage extrusion is very dangerous, because there is an accumulation of damage during each reduction.
The experience shows that good correlation between predicted fracture behaviour and real experimental data can be achieved.

It can easily making base surface figure, data point bitmap, classification data figure, contour mapping, line block diagram, terrain landform figure, trend figure, vector figure and 3Dcurve figure; and provides 11 species data network grid methods, which are all popular calculation methods of data statistics.
Firstly, the raw data file with corresponding data format (normally the text file format as three columns of data, respectively X-Y-Z),Z stands for the value of points (x,y), in which the first column is X coordinate and the second column is Y coordinates, the third column is Z value on (x,y).And then convert to the data file as *.grd file format which is read able for Surfer to draw the contours.
The plane grid data file (XYZ format data files) is gained by using the noise distribution software.
The gridding is an interpolation methods of interpolate and encrypt data from sparse, irregular distributed data into regular distributed one which fits the drawing needs.
Surfer offers 11 ways of data gridding, Kriging method is applied within this paper.

The photocatalytic activity of the photocatalyst was evaluated by the photocatalytic oxidation of rhodamine B (RhB) and reduction of Cr6+ under UV light irradiation.
It is clear that the photocatalytic reduction activity and photocatalytic oxidation activity increase with the increase in the amount of Nb2WO8 up to10 wt.%; however, when the amount of Nb2WO8 is higher than that of 10 wt.%, the photocatalytic activities decrease rapidly.
Therefore, both the photocatalytic reduction activity and the oxidation activity of the heterojunction Nb2WO8/ZnO are enhanced.
The photocatalyst exhibited excellent photocatalytic activity for photocatalytic oxidation of RhB and photocatalytic reduction of Cr6+.
Data.

Determine the direction of primary and secondary changes in the status according to the variance of the data changes size.
Establishment a data matrix which each column corresponds to a variable and each row corresponds to a sample.
The way of data processing is: First, center processing the data, then normalized the variance of each variable so that each variable have equally weighted
Using statistical methods to establish the statistics to carry out hypothesis testing and judge whether the process data is departure.
PCA algorithm is able to reduce the dimension of the date according to the correlation analysis of test data.