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The study has provided necessary knowledge and experimental data for the determination of fire-resistance performance of glulam beams in the fire code of China.
In order to apply innovative technologies and materials to address climate change in building energy efficiency and carbon emission reduction, MOHURD and the Ministry of Natural Resources Canada (NRCan), the Ministry of Forests and Range of British Columbia, Canada (BC Ministry of Forests) signed an MOU on the application of modern wood frame technology in building energy efficiency and carbon emission reduction.
It has been expected that these tests would provide necessary knowledge and experimental data for the determination of fire-resistance performance of beams in Code of Design on Building Fire Protection and Prevention[1]. 1 Fabrication and material Different cross-sectional glulam beams have been selected.
The furnace temperature and the deformation of the beam were recorded at 1 minute intervals through computer data acquisition system and the pressure inside the furnace was recorded at 5-minute intervals. 2.4 Test results.
The data obtained from these tests will provide necessary knowledge and experimental data for the determination of fire-resistance performance of beams in the current national standard Code of Design on Building Fire Protection and Prevention. 5.

According to actual transmission behavior of the channel environment over low voltage power line, M-ary Quantum Evolutionary Algorithm (MQEA) is proposed to allocate bit and power on different sub-carrier channel, which maximizes the total data rate of the system in a downlink transmission with a total power and bit-error rate(BER) constraints.
Simulation results show that the proposed algorithm achieve a higher data rate.
Assuming that limited power is for a certain user, to maximize transmission data rate the problem of bit and power allocation in sub-carriers can be formulated as: (3) s.t
(7) The process of the unfeasible solution rectification can be described as follows: Step1: Calculate the amount of power reduction in the each non-zero allocated bit sub-carrier when the number of bits is changed from to , i.e
(8) Step2: Select the sub-carrier which has the largest power reduction in the all sub-carriers.

Immersion in SBF for a period of 14 days showed a significant reduction in the viability following 24 hours of incubation compared to that in deionized water incubated for 48 hours.
All data were expressed as mean ± standard deviation of 3 independent observations.
In the case of 7-day immersion, the deionized water treatment induced more reduction of the cell density after 24 hours of incubation.
In particular, immersion in SBF for a period of 14 days showed a significant reduction in the viability following 24 hours of incubation compared to that in deionized water incubated for 48 hours (p ˂ 0.05).
Based on our data obtained, it might be that the conductivity of SBF could improve wettability of a material.

Introduction In recent years, some data intensive application has been well known, in which data is generated very fast, and may vary with and even-is impossible to predict[1].
It has been already known that the traditional processing data set algorithm is not suitable for data flow application system, because it does not support continuous query.
optimization algorithm module design The current data flow systems have the following notable features [3]: (1)There is a lot of inquires in DS system, and the system should inquires concerned about the data immediately
(4) The efficiency of the data flow system is not only related with the rate of input data, and is still connected with the number of operators in the system, and the actual number of inquires.
The speed of data generation by data sources: when the speed is too high, it may be beyond the handling ability of the system, resulting in the tuple accumulation, the incensement of the system memory consumption, and the reduction of performance.

The simulated results are compared well with the physical experimental data.
Through the comparisons with physical test data, the problems in the current model and next step work are discussed.
The reduction index β is determined with Eq.(6).
The simulated results have the same trend with the physical experimental data.
Based on the DEM simulation, the relationships between the compressional strength and ice temperature, salinity and brine volume are obtained, and the numerical results agree well with the physical experimental data.

The author suggest the autoclaved fly ash brick masonry proposed formula with Changsha university of science and technology, and Chongqing university the relative test data after that compared, autoclaved fly ash brick wall shear strength calculation formula is recommended.
Take stress non-uniform coefficient = 1.2, by 31 test data are fitting, can get = 3, fitting error is 0.29, wall shear strength of average as follows: (4) The shear-friction formula.
Considering the masonry shear stress is not evenly distributed section when the wall destroy, so will the pure shear strength reduction multiplied by the coefficient.
Can get the type as follows: (5) By 31 test data fitting, = 1.04, fitting error is 0.22; = 0.56, fitting error is 0.10.
Conclusions and Suggestions The theory that fly ash brick masonry autoclaved advice formula get by 31 slices of fly ash brick wall autoclaved test data after contrasting and analyzing,.

This article describes the development of an automated optimization procedure that allows the matching of a residual stress Target Profile by varying process parameters and tool geometry for a typical aeronautic superalloy, such as Waspaloy, for which a reliable numerical model has been developed for comparison to experimental data.
Using an ”Optimal Latin Hypercube”, the procedure sets up the FE machining model and runs, in batch mode, the AdvantEdge FEM simulations (FE Analysis block) to calculate the process responses of interest for each given DOE configuration; 2. for each considered cutting condition, the data related to the mean values of cutting force, thrust force, maximum tool temperatures are calculated in steady state conditions, while for residual stress the four characteristic points are extracted from residual stress profile (Results Dataset block); 3. using the data extracted from FEM simulations, “RSM Constraint Models” block generates: the cutting forces, the temperatures and the residual stress metamodels that analytically define the problem constraints; 4. after these preliminary steps “ISIGHT Optimization” block runs the optimization algorithm to find out the best configuration of cutting parameters, in accordance with the optimization problem statements and through the MRR objective function
The use of numerical results to optimize cutting parameters provides significant savings of time and costs reduction.
The RSM Models have been created through data extracted from FE simulations performed considering a 64 point Optimal Latin Hypercube Design of Experiments.
However, the monitored Temperature shows a reduction (16%), probably due to the cutting speed and feed decreases.

Accuracy of the traditional CGT model was verified by comparing simulation data and test data.
Then characteristics of hybrid CGT were studied by comparing simulation data of the two models.
Therefore , further reduction of CGT’s emission and fuel consumption is crucial[1,2,3].
Up to now, most researchers in automotive field have been put their attention on commercial vehicles, while only few researchers’ study the CGT’s emission reduction and fuel saving.

These auhors all suggested calculation formula bending rigidity of ordinary concrete beams by dividing a reduction coefficient on the basis for calculation formula of bending rigidity of ordinary concrete beams in the the code for design of concrete structures(GB 50010-2010) (CDCS).
Because the number of their beams used when doing experiment are limited, the accuracy of reduction coefficient which is obtained by linear regression on the basis of limited number of experimental beams deserves further study.
This paper collected a total of 41 sets of test data of 21 recycled concrete beams in the literature [2-8].
(2)it is impossible to completely explain the reduction range of the deformation performance of recycled concrete beams compared with that of ordinary concrete beams,when only considering the reduction of elastic modulus and bending strength of recycled concrete.
And it is hard to ignore the impact of the reduction of the bond behavior between recycled concrete and rebars compared with that between ordinary concrete and rebars on the deformation performance of recycled concrete beams

Data processing examples show that the model's practicality and reliability.
System behavior data could be desultorily, intricate, but between them there are always certain regularity .
Accumulated generating operation and inverse accumulated generating operation is Reciprocal operation , that’s to say ,accumulated once sequence can be through inverse accumulated generating operation by generation reduction for the original data sequence .
If the data changes slowly, the two model have unanimous results with a little dissimilarity .
Data processing examples show that the model's practicality and reliability .