Search results

Foundation settlements and rotations derived from the reduction of the footprint under the piers threaten masonry arch bridges integrity more than any gravity load.
Some conditions are to be met for obtaining a sufficient quantity of data to perform a Single Value Decomposition (SVD) on the Hankel matrix.
The aim of SVD is to reconstruct (3) from redundant data.
When ambient excitation is considered, the input is unmeasured and equation (4) becomes: {uk+1}=[A]{uk}+{ek} k = 0,1,2,… (5) A Stochastic Subspace Identification (SSI) starts by building large block Hankel matrices from the output sequence, divided up in 'past' and 'future' data matrices [5].
Pappa: An eigensystem realisation algorithm (ERA) for modal parameter identification and modal reduction, NASA/JPL Workshop on Identification and Control of Flexible Space Structures (1984)

Obtained outcomes highlighted the remarkable capabilities of the implemented procedure in terms of reliability of temperature predictions and of drastic reduction of the computational time with respect to classic computational models.
Indeed, during the process, the initial heating of the material leads to a reduction of the resin viscosity, allowing excess resin to squeeze out from the reinforcing layers.
The learning and recognizing patterns in large data sets is the key ability of neural networks to achieve learning and memory [21-23].
Physical properties of each constituent, resin reaction kinetics models and parameters are defined according to data reported in [3,5].
The proposed model is tested versus unknown data related to the autoclave temperature heating over time.

The present work focuses on the evaluation of formability of Ti-6Al-4V using the hot single point incremental forming (SPIF) process which seems appropriate to produce small batches of parts due to its flexibility as it allows the reduction of costs and lead times.
In this sense, Ti-6Al-4V is widely used in the aeronautical industry in the manufacturing of high strength lightweight parts, which lead to a reduction of both the fuel consumption and the associated pollution.
Interaction between the forming temperature and the tool step down The feed rate parameter, it could not be included on the ANOVA analysis because of the lack of enough data to analyze its influence.
As it can be observed in Fig. 14, there is a slight decrease of material strength compared to base material data at RT shown in Fig. 3 because of the SPIF operation.
Tensile test data, part P2: strength relief values along tool step direction at 0º (top left) and 90º to RD (top right), elongation along tool step direction at 0º to RD (bottom left), strength relief values along feed rate direction (bottom right) Conclusions The present study demonstrates the potential of Global Hot Single Point Incremental Forming process (using an electric furnace) to deform Ti-6Al-4V.

The selectivity of propylene depended strongly on the phosphorus content in the zeolites; The enhancement of propylene selectivity with increasing phosphorous content was attributed to reduction of strong acid sites on the H-ZSM-5.
Table 1 data also showed that SBET and VP did not change synchronously with the increase of phosphorous content.
Table 1 Pore structure parameters of ZSM-5 zeolites with different phosphorus content Samples S0 S1 S2 S3 S4 S5 S6 SBET/(m2×g-1) 331.8 315.0 301.9 286.2 253.6 212.5 161.9 VP/(cm3×g-1) 0.173 0.170 0.165 0.158 0.150 0.145 0.132 SBET—BET specific surface area;VP—Total pore volume Combining the N2 adsorption-desorption isotherms with XRD data, we knew that impregnated phosphorus entered the channels of ZSM-5 zeolite, reacted with its framework atoms, and caused the shrinkage of zeolite channels, which made the BET surface area and pore volume of phosphorus modified samples decrease.
Table 2 Catalytic Performance of catalyst smaples Sample Name S0 S1 S2 S3 S4 S5 S6 Conversion/% 100 100 100 100 100 100 100 Product Distributions /wt% CO+CO2+CH4 3.73 3.61 2.15 2.49 2.25 3.26 3.02 Total C2~C4 paraffins 7.02 3.83 3.64 3.48 3.02 2.81 2.27 Ethylene 9.07 15.82 15.21 11.23 10.09 12.17 15.64 Propylene 34.38 34.45 38.12 42.38 44.57 45.97 47.01 Butylenes 15.08 14.27 16.56 20.13 24.16 25.11 24.33 C5+ 30.72 28.02 24.32 20.29 15.91 10.68 7.73 Data obtained at 60 minutes on stream time.
The reduction of the concentration of acid sites which are responsible for the hydrogen transfer reaction, decreases the conversion of olefins to paraffins, thus selectivities to propane and butane decreased with increasing phosphorous content in ZSM-5 zeolites.

However, the interaction between LATP and lithium metal leads to the reduction of Ti4+ to Ti3+, resulting in interfacial degradation [14 – 19].
Maintaining interface stability is essential for preventing the reduction of Ti in solid electrolytes like LATP.
The spectral data dismiss the presence of carbonates, as bands are absent in the 1400 – 1600 cm-1 range, indicating the complete decomposition of volatile materials from the prepared samples, which is also confirmed by the TGA analysis.
These cubic-like particles are expected, to show crystallization consistent with the XRD data.
The microstructure of the samples comprises cubic grains with smooth surfaces and non-uniform particle distribution, indicating crystallization and consistent with the XRD data.

From the gathered vibration data of a stern shaft bench through Pulse Vibration Analysis Platform, using the speed spectrum array to determine the characteristics of vibration source, with the analysis of vibration characteristics of the bench, it concluded that the abnormal high frequency vibration source of the stern bearing is a weak rigidity part of bench─ tacho-torque meter.
The vibration data of again test after strengthening the part illustrated the validity of this diagnostic mode.
Under the background of the vibration and noise reduction, searching and controlling vibration source have important practical significance.
This article combined the analysis of vibration type and fault symptom which a test bench of stern shaft may have with the spectral analysis of vibration data of stern bearing to judge fault and reason appeared on the stern bearing, and sought for solutions.
Tang: Journal of Data Acquisition &Processing, Vol. 21 (2006) No.4, pp, 454-459.

Because the gray forecasting model uses the method of producing data from raw data, it can wakens the randomness of the raw data and makes the newly forming data having some rule.
Data Selection.
Table 1 gives the data.
The fig. 1 gives more clear comparison between the real data and the forecasting data.
This may be because the oldest data has little relationship with the future data.

In this paper, Eh—pH diagram of Au-I--I2-H2O system was established through calculating the equilibrium potentials of the main chemical reactions based on the thermodynamic data of the actual iodide leaching of gold system.
Eh-pH diagram can be drawn based on calculating the equilibrium potentials of the chemical reactions according to the thermodynamics data of the actual leaching system.
AuI+e=Au+I− (25) Au+ 4I−=AuI4−+3e (26) Au+2I−＝AuI2−+e (27) Au+ I−+ I3−=AuI4−+e (28) As shown in Fig.1, the reduction potential of the complex of Au-iodide in iodine-iodide leaching gold system is 0.578V, which is far lower than the reduction potential of free Au ions (1.824 V).
I3-+H2O ⇄IO-+2I-+2H+ (36) 3I3-+3H2O ⇄IO3-+8I-+6H+ (37) Conclusions In the present work, Eh-pH diagram of Au-I--I2-H2O system was established based on the actual thermodynamic data of the leaching system.

The two methods show a good convergence with the experimental data and the optimum process parameters combinations where maximum voltage and maximum current are obtained.
For V and I (Larger – the better Characteristics), the individual response (data) is divided by the total response value (∑V and ∑I) .That is, for each response data, voltage and current is obtained and then WV and WI are computed.
Hung – Chang and Yan – Kwang (2002) [5] proposed a Data Envelopment Analysis based Ranking (DEAR) method for optimizing multi response Taguchi experiment.
Step 2: Transform the observed data of each response into weighted data by multiplying the observed data with its own weight.
Step 3: Divide the observed data of larger – the better type with weighted data of smaller – the better type or normal – the best type.

The LIBS quantitative analysis method was divided into two categories: one was based on the calibration curve with the mathematical matrix correction method; the other was combined with neural network reduction method of matrix.
In the practical application:Preparation of a set of standard samples,the element type and the sample to be tested as consistent as possible,by the system of LIBS standard samples for detection and analysis of standard samples,the content of each element and the relative signal intensity into type(2).It could be obtained by the matrix elements on the determination elements influence coefficient“”as well as the parameter “a” and “b”.Through the test of the sample to be tested in the elements of the relative signal strength,the matrix elements and has obtained the parameters “a”, “b” and influence coefficient“”.It could derive specific samples to be detected in the element content.There was required much group data measurement in order to ensure the accuracy. 3.3 Based on genetic neural network for matrix correction method The quantitative analysis method was one of the key technologies of LIBS.
[2]Xie Chengli.Laser-induced Breakdown Spectral data processing methods and the application in the coal analysis research.Ph.D.Thesis.Huazhong university of science and technology,In 2009
[10] Body D,Chadwick B L.Optimization of the spectral data processing in a LIBS simultaneous elemental analysis system[J].Spectrochimica Acta Part B,2001,56(6):725-736.