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Current researches on arch dam safety include overload method, strength reduction method and comprehensive method.
By overloading or reducing material strength, the limit equilibrium state of arch dam foundation system is judged with convergence criterion or abrupt change criterion [2], and multiples of overloading or of material strength reduction is the global safety factor of arch dam foundation system.
(5) In which E is plastic strain energy of dam foundation system; k is safety factor, i.e., overload factor or strength reduction factor; and f (k) is a 4 times polynomial function of variable k. so,
Fig.3 Relation between plastic strain energy and overload factor In order to use cusp catastrophe model, according to the data before k=2.75, the fitting polynomial (6) becomes , (11) and corresponding standard potential function of cusp catastrophe model is
According to the data before k=3.0, we have, , (13) , (14) and

Tumor types, in respect of which encouraging results of treatment with fast neutrons have been published, but the data are still preliminary and need to be confirmed by randomized clinical trials (tumors of the rectum, bronchus, bladder, bone, head and neck).
· Partial tumor regression (≥50% tumor reduction) was registered in 36.8% of patients
Poorly differentiated tumors demonstrated the highest sensitivity to fast neutron therapy (50% of tumors had ≥50% tumor reduction).
Patients with fiber-, angio- rhabdomyosarcomas had ≤ 50% tumor reduction or stable disease after fast neutron therapy.
The obtained data on morphological changes in the tumor and surrounding normal tissues occurring under the influence of fast neutron therapy at an isoeffective dose of 40 Gy was one of the arguments for the decision on feasibility of applying this type of radiation as preoperative therapy.

In view of the grid has a large number of harmonics, serious interference power quality, but the existing harmonic detection has many disadvantages, this paper uses genetic algorithm to optimize the BP neural network (GA-BP),Combined with fanaticism, independent component technique in the separation technology, achieve rapid separation and accurate fitting for harmonic reduction.
The method to solve the problem of slow convergence speed of BP neural network and easier to fall into local optimal solution; Separation, independent component analysis in the signal could not accurate reduction the source signal.
According to the observed data vector, fanaticism separation determine a transformation to restore the original signal or source[6].The fundamental as follows: Suppose a signal is composed of several independent signals,the aliasing signal can be expressed as: (5) Where;is aliasing matrix;.
C.Implementation Steps of GA-BP (1) Initialized the signal samples, and determined the fundamental frequency and the BP network topology structure; (2) Encode the initial value of the BP network, and data preprocessing; (3) With the BP neural network training error to do fitness values,do selection,crossover and mutation,calculate the fitness value; (4) Determine whether it meet the end conditions or not.YES,jump to step(5);NO,jump to step(3); (5) Obtain the optimal weights and thresholds; (6) Calculation error, and update the weights and thresholds; (7) Judgment whether it meet the end conditions or not.YES,jump to step(5);NO,jump to step(3); (8) The simulation forecast, get results.

Vibration Characteristic Analysis of Diamond Saw Blade with Multitude Holes Structure for Vibration and Noise Reduction Shanshan Hu1,2,a , Yingning Hu2,b, Chengyong Wang 1,c and Changxiong Chen2,d 1 Institute of Manufacturing Technology, Guangdong University of Technology, Guangzhou, China, 510090 2 College of Mechanical Engineering, Guangxi University, Nanning, China, 530004 a chloee_2000@163.com; bhyn@gxu.edu.cn; ccywang@gdut.edu.cn; dccxfly2003@163.com Keywords: Diamond saw blade with multitude holes structure, Vibration characteristic analysis, Configuration optimization Abstract.
Therefore, the frequency of a certain modal shape reduction would cause the decreasing of wave number producing sound radiation, then the effect of sound radiation reduce too.
Experiment data shows holes structure I6-72 is recommended in mid-low feed speed 200-400mm/min, especially for concrete C30. 0 200 400 600 800 1,000 Cutting Force ( N ) 200 300 400 500 V (mm/min)f Fxave Fyave Fzave Fsum Cutting condition: Vc p=24m/s a =20mm Material: C25 Sawblade:672 0 200 400 600 800 1,000 Cutting Force ( N ) 200 300 400 500 V (mm/min)f Fxave Fyave Fzave Fsum Cutting condition: Vc p=24m/s a =20mm Material: C30 Sawblade:672 0 200 400 600 800 1,000 1,200 1,400 Cutting Force ( N ) 200 300 400 500 V (mm/min)f Fxave Fyave Fzave Fsum Cutting condition: Vc p=24m/s a =20mm Material: C35 Sawblade:672 (a) Holes structure I6-72 sawing concrete C25 (b) Holes structure I6-72 sawing concrete C30 (c) Holes structure I6-72 sawing concrete C35 Fig.6 Holes structure I6-72 sawing different concretes Fig.7 is sawing force of holes structure I8-48 sawing different concretes.
Fig.9 (b) shows when holes structure I8-48 sawing concrete C35, vibration amplitude has slight reduction with feed speed increasing.
Fig.9 (c) shows vibration amplitude has general trend of reduction, where it falls to minimum in feed speed 400-500mm/min for sawing concrete C30 and C35.

Hence, most of them end up in the landfill, as past research data estimated that currently 4 billion waste tyres can be found in landfills.
There were three specimens for each age of the cubes to obtain the average data for more accurate results.
Reduction of workability with replacement of tyre rubber was common and consistent with other research [32].
The reduction may be attributed to two reasons.
The reduction happened in a linear function at early age and second-order polynomial function beyond 7 days.

The example shows accumulating more before-test experience and decreasing the experiment time appropriately won’t result in the reduction of the reliability.
Accumulating more before-test experience and decreasing the experiment time appropriately won’t result in the reduction of the reliability.
Test Plans and Data Analysis, John Wiley & Sons, 1990.

At temperatures higher than 1500 ºC the carbothermal reduction occurs with the consumption of both silica and free carbon phase.
At higher temperatures between 1500-1600ºC the carbothermal reduction starts and silica reacts with carbon like graphite material to produce silicon carbide and gaseous species.
As the temperature has been increased the highly disordered graphite phase becomes ordered, but at the same time the carbothermal reduction starts and partially consumes these ordered domains.
The data show that the β-SiC crystalline size does not vary when the sintering time at 1550ºC is increased from 4 to 16 hours and, in all cases it is close to 2 nm.
We experimentally observe that the O/Si ratio is almost constant and the C/Si decreases due to the carbothermal reduction.

Specific test procedure is introduced in [3].When the variation of the data was less than ±1.5%, the instrument entered the stable state.
Data analysis and processing Data were extracted and processed when the instrument entered the stable state.
The measured data were introduced into the formula above to obtain the coefficient of thermal conductivity: Coefficient of thermal conductivity of 8mm-thick straw-based board (W/(M•K)).
The results are listed in the table 4 below:′ Table 4 Minimum thickness of straw-based board with different thickness (mm) Wall thickness K≤1.0 K≤1.5 240 39.78 (40) 9.78 (10) 370 20.28 (25) —— Note: data in the brackets are values in practical use.
[4] Ma Jie, Energy conservation and emission reduction analysis of straw-based insulation building materials [J].

DADS human body model schematic1 The reason for developing a dynamic model to simulate the rig was to help analyse the data from the experiments and to determine the difference between having a bicycle fixed at the front as it is on the rig and a bicycle that is allowed freedom of movement at the front hub.
Summary of Mean Measured Vertical Handlebar Accelerations Bump No Bump Bicycle Hard tail Suspension Hard tail Suspension Pedal force data (Newtons) Max. pedal force 253.81 131.32 126.32 92.15 Min. pedal force -0.31 -2.95 23.65 26.33 Force range 254.12 134.27 102.67 65.82 Mean pedal force 124.24 65.24 80.20 63.97 Diff. in max. 122.49 34.17 pedal force s =32.60 P < 0.1% s = 36.96 P = 1.6% Diff. in min. 2.64 -2.69 pedal force s =8.15 P > 10% s = 6.32 P > 10% Diff. in force 119.85 36.85 range s =28.095 P < 0.1% s =35.84 P = 1.0% Diff. in mean 59.00 16.23 pedal force s =19.32 P < 0.1% s =20.55 P = 2.8% Table 3.
To analyze the bump impact data plotted against time, time intervals were calculated for specific events.
On average, 35% reduction in maximum vertical handlebar acceleration was recorded, with 56% reduction in maximum vertical saddle impact acceleration and 21% reduction in maximum vertical saddle landing deceleration.
Table 4 shows a 20% reduction in maximum vertical saddle impact acceleration and a 52% reduction in maximum vertical saddle landing acceleration for the SU compared to the HT bike.

The VISION software was used for data acquisition and CASAXPS software for data analysis.
Data acquisition was performed with a pressure lower than 1x10-6 Pa and it was used a charge neutralization system.
The number of CFU was counted and the results were presented as log reduction.
The untreated sample showed a log reduction of 2.23±0.06 and 3.40±0.34 against S. aureus and E. coli, respectively, and the DBD plasma-treated sample showed a log reduction of 2.83±0.08 in S. aureus and the complete reduction of E. coli.
Park, Formation of human hair-Ag nanoparticle composites via thermal and photo-reduction: A comparison study, Colloids Surf.