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Mean curves with reduced data points are calculated from the measured force/displacement curves.
A small correction of the force/displacement data is performed to consider the real point of contact by determining the point of highest slope in the force/displacement data and shifting the displacement by the intersection with the x-axis.
The support compliance is also calculated from the slope of the unloading curve and considered in the force/displacement data.
The initial yield stress K0 and the hardening parameters Ky and My are changed systematically by the optimization software optiSlang3.0 until the minimum of the error square sum between the force data from the experiment and the calculated data is achieved.
The reduced data points and the corresponding standard deviations of the experimental force/displacement data are shown in Fig. 3.

Composition of FDS hardware Reciprocating machinery FDS mainly comprises sensor, data acquisition device and hand-held terminal, and its hardware composition is shown in the following Fig. 1: In the portable FDS, speed sensor is provided for testing phase information of shaft, and the rest of sensors for sending all the acquired signals to the data acquisition device through shielded cable; and in the data acquisition device, signals that are detected by all sensors firstly enter the input signal conditioning module through cables for filtration and noise reduction so that interference signals are eliminated, those conditioned signals enter A/D conversion module for analog/digit conversion, and then digital data is sent through the data sending module.
Converted data becomes digital, and the digital data finally enters data sending module for sending, which mainly comprises data extraction module, wireless sending module, CAN bus communication module and CAN bus sending module.
Output of data acquisition device is connected to input of hand-held terminal, and the terminal receives wireless data or CAN bus data.
Data enters data storage module, data display module and fault diagnosis module simultaneously, and results of fault diagnosis module are output through diagnosis result output in text or report.
Storing in data storage module is an automatic process, and after data is stored, the module will reminds the user of data being stored.

A coupled FE-TLE model for the prediction of Subway Train-induced Ground-borne Vibrations Hesheng Tang 1, a, Jie Wang 2,b , Jiawu Shi2,c 1 State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China 2 Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China a thstj@tongji.edu.cn, bwangwangtank@gmail.com, c ashijiawu@163.com Keywords: FE-TLE, subway, vibration, layered soil, dynamic interaction, in-situ experiment Abstract.
M nodes on the surface of the ground can be selected according to the measured data.
The measured data (right) is also plotted for comparison.
It can be found that the simulation results are consistent with measured data considering the amplitude.
a. 2 m from the tunnel b. 20 m from the tunnel Fig. 5: Vertical acceleration at variable distance a.2 m from the tunnel b.20 m from the tunnel Fig. 6: One-third octave band spectra Fig.6 illustrates the comparison of the one-third octave band spectra between simulation result and the measured data.

Adsorption equilibrium data for each adsorbent were obtained at pressure up to 1.5 atm.
These diffraction data reveled that Na-X retained high crystalline phase, as evidenced by sharp diffraction peaks at high angle [6].
The diffraction data also demonstrated that no A-type zeolite was present in the adsorbent samples.
Cation exchange gave no damage to the zeolite framework, and furthermore, no reduction in the crystallinity of the ion-exchanged X-type zeolites.
Adsorption equilibrium data for nitrogen and oxygen onto the ion-exchanged X-type zeolites measured at 20 o C and at pressure up to 1.5 atm revealed that Li-X adsorbent showed the highest nitrogen adsorption capability at high equilibrium pressure.

Campus energy consumption per unit area in American Research University is higher than most building energy consumption; especially the 24-hour operation of the laboratory and data center consuming a lot of energy, and the total energy consumption of school buildings is second to the comprehensive consumption of various types of office buildings.[1] It has become an undisputable problem that colleges and universities energy consumption is the social major energy consumption, so building energy conservation has come to a critical state in colleges and universities.
In recent years, along with the sustainable development thought is deeply rooted in the hearts of the people gradually, energy conservation and emissions reduction of colleges and universities in our country has been not stay on a conservation-minded campus propaganda and demonstration projects, but the green concept into campus construction and operation management.
Researching energy consumption quota of colleges and universities is one of the important measures to promote energy conservation and emissions reduction.
Through data processing of 41 colleges and universities building energy consumption in Hubei, we came to the conclusion that the per student average energy consumption index of engineering and agriculture in colleges and universities of 211,985 is higher than of liberal arts in colleges and universities generally, generally high to 35.8%; the per student average energy consumption index of engineering and agriculture in colleges and universities of 211,985 is higher than ordinary engineering, general high to 11.08%.
The quota according to the distribution of energy consumption to formulate, and by the combination of related departments of punishment and reward can easily promote the enthusiasm of colleges and universities on energy conservation transformation, but for building samples quantity, data accuracy requires high; The method according to per student building area to formulate is the most scientifically rigorous, And has more advantages to colleges and universities, which is difficult to obtain the accurate energy consumption data in energy measurement, can effectively promote the energy conservation work progress.

Two strain rates (0.1 and 1s-1), three strains (40%, 60% and 70% thickness reduction) and four temperatures (20, 200, 400 and 600°C) were used: providing a total of 24 deformation conditions.
The EBSD data was acquired in the mid-thickness section of the long transverse plane (plane containing rolling direction (RD) and normal direction (ND)) while X-ray data was acquired on the rolling plane (plane containing RD and transverse direction (TD)).
Data analyses were conducted for g and q fibre grains.
X-ray peak profiles were used to evaluate the dislocation density and X-ray resolution function [8,9], while from EBSD, data for average point-to point misorientation (GAM or grain average misorientation) and number of high angle boundaries inside a grain were determined [10].
Conclusions The highest reduction of 70% shows a clear increase of in-grain misorientation at intermediate deformation temperatures (200-400°C).

The FTIR spectroscopy results shows that brown-rot fungus did degraded the cellulose and hemicellulose of Chinese fir, explaining the reduction of tensile strength of tracheids.
But, the reduction of obtained tensile strength of brown rotted tracheids relative to the tensile strength of untreated samples is not very remarkable.
Used the method of ANOVA, we found the difference between tensile strength obtained from different treated time is not significant According to the calculational weight loss ratio, the tensile strength of tracheids brown rotted for 10 weeks, the ratio of loss weight reduced 4.25%, and the corresponding tensile strength decreased 9.6%.The measured data results was basically accord with the previous studies that the strength loss achieved to 5%-70% when the weight loss ratio is 1%-18%, the different is that the samples used in this experiment were microsections.
The intensities of carbohydrate bands at 1733 cm-1, 1371 cm-1 (C-H strtching), 1156 cm-1 (C-O-C strtching), 1058 cm-1 (C-O strtching), 1031 cm-1 (C-O strtching) showed the degradation effect of brown-rot fungus to the cellulose and hemicellulose, which explaining the reduction of tensile strength of tracheids.
FTIR spectroscopy results showed brown-rot fungus did degraded the cellulose and hemicelulose of Chinese fir, explaining the reduction of tensile strength of tracheids.

., with carbon capture) 0 0 0 0 Table 2 Technical parameters about coal-fired power generation technologies Efficiency Generation Cost (Yuan/kWh) Construction Cost (Yuan/kW) SO2 （g/kWh） NOx （g/kWh） CO2 （g/kWh） Hg (μg/kWh) Normal Units 1 0.33 0.30 4500 6.7 3.0 1019 51.4 Normal Units 2 0.33 0.33 5100 1.1 3.0 1050 51.4 Normal units 3 0.33 0.35 5500 1.1 1.2 1050 51.4 Ultra-supercritical units 1 0.44 0.35 5700 0.5 0.87 710 38.5 Ultra-supercritical units 2 0.348 0.64 11000 0.06 0.07 106 53.8 Ultra-supercritical units 3 0.315 0.61 10200 0.08 0.09 117 49.1 Ultra-supercritical units 4 0.354 0.72 12400 0.05 0.06 92 47.9 Supercritical units 1 0.37 0.35 6300 0.5 0.87 873 45.8 CHP 1 0.55 0.26 5000 4.8 1.6 630 30.8 CHP 2 0.75 0.29 5500 0.5 0.87 462 22.6 FBC 0.37 0.43 6750 1.6 0.6 873 45.8 IGCC 1 0.419 0.42 7250 0.075 0.082 744 40.5 IGCC 2 0.359 0.53 9300 0.075 0.082 142 47.2 Note: Above data are estimated according to the references [2-4, 7].
Table 3 Prediction of energy-saving and emissions abatement for Coal-fired power sector in China 2002 2010 2020 2030 Energy transformation efficiency（%） 39.3 42.8 48.4 51.2 SO2 emission factor（g/kWh） 5.70 3.08 1.10 0.52 NOx emission factor（g/kWh） 2.65 2.06 1.26 0.79 CO2 emission factor（g/kWh） 908 851 779 717 Hg emission factor (μg/kWh) 50.74 48.56 46.12 44.72 coal conservation（104 tce） standard 10128 48617 78241 SO2 emission reductions(104 tons) standard 893 3122 4575 NOx emission reductions（104 tons） standard 203 949 1647 CO2 emission reductions（108 tons） standard 1.9 8.7 16.8 Hg emission reductions (ton) standand 7.41 16.58 12.30 The effects of energy-saving and emissions abatement in coal-fired power industry caused by technological progress can be simulated as shown in table 3.
Owing to the development of advanced coal-fired power technology for the China's coal-fired power and heating industry, SO2 emission reductions will achieve 45.75 million tons, NOx emission reductions will achieve 16.47 million tons, mercury emissions will achieve 394.77 ton, and CO2 emission reductions will achieve 1.68 billion tons only in 2030 (i.e., compared with energy transformation efficiency and emission factors in 2002).
Li: Analysis on energy-saving & emission-reduction effects of technological progress in coal-fired power industry of China.

The materials present, after conditioning at 80°C, an important reduction of the bending elasticity modulus Ei, up to 58-84,46% compared to benchmark value.
A more important reduction of the elasticity modulus is recorded at materials formed by pressure.
A larger reduction of elasticity modulus is recorded at materials formed by pressure.
The mat armed materials show, after thermostatting at -30°C, a reduction of bending characteristics.
Conclusions The obtained results give to designers of automotive body parts experimental data to adopting the best solutions in terms of composite material of choice for reinforcement, of determining reinforcement percentage and technology training.

Reduction of hemicellulose by alkaline treatment is the major reason that the thickness swelling of composites decreases [11].
The data obtained are useful for the wood composite manufacturer in preparing wood composite and to consider Kelempayan as a good substitute to rubberwood for coming years.
The treatment promotes the reduction of amorphous constituents such as hemicellulose (HE), lignin and extractives.
As shown in Figure 1(c), the reduction of extractives could lead to the presence of more pits in the particle surfaces.
The pits are revealed by alkaline treatment due to the reduction of extractives.