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Online since: February 2012
Authors: Chao Zhou, Jin Zhen Wan, Xu Chen, Fei Shuai
Third is location of reduction of cross-section area and the maximum stress is 47.3MPa.
With the development of fatigue theory and accumulation of experimental data, it is possible to predict and evaluate the fatigue strength and life of welded structure.
The master S-N curve can be obtained by fitting the experimental data of weld joint for probabilities of survival 95% [5] (3) The type Ⅲ as a case study, structural stress along the weld toe lines are extracted and processed.
With the development of fatigue theory and accumulation of experimental data, it is possible to predict and evaluate the fatigue strength and life of welded structure.
The master S-N curve can be obtained by fitting the experimental data of weld joint for probabilities of survival 95% [5] (3) The type Ⅲ as a case study, structural stress along the weld toe lines are extracted and processed.
Online since: January 2007
Authors: George Poszmik, Kalathur S. Narasimhan
An order of magnitude reduction in dust level was observed with the ANCORBOND premix near
the compaction tool.
Typical dust resistance results together with apparent density and flow rate data for an FN-0208 premix and binder treated mix are shown in Table I.
These data indicate that a bonded mix was able to retain almost all of its graphite content and more than 80% of its nickel content during the elutriation test, while the non-bonded premix lost one third of its graphite and 75% of its nickel content.
Typical dust resistance results together with apparent density and flow rate data for an FN-0208 premix and binder treated mix are shown in Table I.
These data indicate that a bonded mix was able to retain almost all of its graphite content and more than 80% of its nickel content during the elutriation test, while the non-bonded premix lost one third of its graphite and 75% of its nickel content.
Online since: August 2010
Authors: Jian Yao, Jin Xu
This design standard uses building envelope
performance data to predict building thermal performance.
( ) 5cos(2 /24/3600) 5 outT t t (3) ( ) 5cos(2 /24/3600) 30 outT t t (4) A workspace for simulation should be generated by connecting the system main blocks representing building and outdoor temperature data.
Results show that the indoor temperature of both two cases decline during 12 h, however the reduction rate for case one is much larger than the other one.
( ) 5cos(2 /24/3600) 5 outT t t (3) ( ) 5cos(2 /24/3600) 30 outT t t (4) A workspace for simulation should be generated by connecting the system main blocks representing building and outdoor temperature data.
Results show that the indoor temperature of both two cases decline during 12 h, however the reduction rate for case one is much larger than the other one.
Online since: September 2011
Authors: Xiang Hai Huang, Shi Lin Jiang, Xiao Jun Zhu, Shu Ting Liang
of concrete strength reduction factor at node A is only one bar, you can get 0.8; , design value of concrete compressive strength.
Mesh of rebar element (模型一) With Eq.(2), the type of model 1 and model 2 calculated from the theory value, and then the lower dapped-end-beam theoretical calculation, experimental data were compared with the finite element values, as shown in Tab. 1.
Carrying capacity calculated value, test values compared with the finite element values content Model 1 Model II R Part baroclinic bearing capacity (kN) Test Value 76.42 75.00 Finite element values 75.80 77.50 Comparative test value -0.8% 3.3% Eq.(3). 73.79 73.79 Comparative test value -3.4% -1.6% Concave corner tensile bearing capacity (kN) Finite element values 136.59 133.45 Eq. (2). 132.89 124.32 FEM Comparison -2.9% -6.8% With the perpendicular to the shear damage did not occurred in the test, so only for the R part baroclinic concave corner of the damage and the tensile bearing capacity of the data review.
Mesh of rebar element (模型一) With Eq.(2), the type of model 1 and model 2 calculated from the theory value, and then the lower dapped-end-beam theoretical calculation, experimental data were compared with the finite element values, as shown in Tab. 1.
Carrying capacity calculated value, test values compared with the finite element values content Model 1 Model II R Part baroclinic bearing capacity (kN) Test Value 76.42 75.00 Finite element values 75.80 77.50 Comparative test value -0.8% 3.3% Eq.(3). 73.79 73.79 Comparative test value -3.4% -1.6% Concave corner tensile bearing capacity (kN) Finite element values 136.59 133.45 Eq. (2). 132.89 124.32 FEM Comparison -2.9% -6.8% With the perpendicular to the shear damage did not occurred in the test, so only for the R part baroclinic concave corner of the damage and the tensile bearing capacity of the data review.
Online since: July 2014
Authors: Jun Ai, Lu Ga
Time-dependent formation of cluster sizes ranging from Ag1 to Ag4 oligonucleotide was observed with strong, characteristic electronic transitions between 400 and 600 nm (2).The reduction of silver cations bound to the oligonucleotide dC12 was used to form silver nanoclusters.
Fig.4 showed the data of cell viability of the CCRF-CEM cells after 24 h of incubation with the transfection complexes.
The data of TEM verified that size of silver atoms are below to 2nm.
Fig.4 showed the data of cell viability of the CCRF-CEM cells after 24 h of incubation with the transfection complexes.
The data of TEM verified that size of silver atoms are below to 2nm.
Online since: January 2012
Authors: Jin Long Wang
ANSYS has software interface connecting with the majority of CAD and realizes the sharing of data and exchanging.
And the damping plate meets the continuing effect of vibration reduction.
The analyzing data is useful for the design of the damping plate and make the vibration damping plate to meet the requirements of vibration attenuation better.
And the damping plate meets the continuing effect of vibration reduction.
The analyzing data is useful for the design of the damping plate and make the vibration damping plate to meet the requirements of vibration attenuation better.
Online since: February 2012
Authors: Bin Yang, Wei Kong, Chun Xiao Li, Yi Bing Zhang
Parameter () is used to denote the familiarity’s reduction degree
If the time and cost used in one task exceeds the expected value, or if agent can't return to its original position, it means the task cannot be completed, and the next agent don’t interact data with the present one, but reinitialize the task at the same time.
Otherwise, they will interact the data between them, and start a new task after learning of various parameters.
If the time and cost used in one task exceeds the expected value, or if agent can't return to its original position, it means the task cannot be completed, and the next agent don’t interact data with the present one, but reinitialize the task at the same time.
Otherwise, they will interact the data between them, and start a new task after learning of various parameters.
Online since: August 2011
Authors: Wei Wang, Jun Zhao, Guo Li Liu
Although many results for production-inventory problems have been reported in the literature, few of them dealt with the problem for oil refining process considering the reduction of high transportation costs which always depend to a high degree on the selection of transportation modes.
The additional data are chosen randomly under the condition of ensuring the feasibility of the model.
Table 1 The input data Units CVDU DCU CRU CCU DCHU PBU Su [RMB] 15000 70000 100000 50000 40000 10000 pu [RMB/ton] 12 80 110 54 50 10 Capu,1 [kiloton] 1200 300 100 350 110 350 Capu,2 [kiloton] 1250 350 150 400 120 400 Capu,3 [kiloton] 1300 400 200 450 130 450 Computational results The computation is executed using the optimization software package LINGO 11.0 on a Pentium-IV 2.4-GHz PC.
The additional data are chosen randomly under the condition of ensuring the feasibility of the model.
Table 1 The input data Units CVDU DCU CRU CCU DCHU PBU Su [RMB] 15000 70000 100000 50000 40000 10000 pu [RMB/ton] 12 80 110 54 50 10 Capu,1 [kiloton] 1200 300 100 350 110 350 Capu,2 [kiloton] 1250 350 150 400 120 400 Capu,3 [kiloton] 1300 400 200 450 130 450 Computational results The computation is executed using the optimization software package LINGO 11.0 on a Pentium-IV 2.4-GHz PC.
Online since: October 2010
Authors: Yi Sun, Zhi Wei Cui, Yun Jun Chen
For further analysis, we collect the data versus doped content, as shown in Fig.5.
(a) (b) Fig.6 (a) Yield stress (b) Elastic modulus for different doped concentrations at various temperatures Fitting the data in Fig.6(a), we can obtain the relationship of yield stress with temperature and doped content as follows, (3) The first item of Eq.(3) represents the temperature effect, and its fraction coefficient reflects the secondary influence of strength.
For actual applications of SOFC, the oxygen partial pressure has important influence on the mechanical properties of GDC caused by the reduction reaction, i.e., non-stoichiometric GDC[12].
(a) (b) Fig.6 (a) Yield stress (b) Elastic modulus for different doped concentrations at various temperatures Fitting the data in Fig.6(a), we can obtain the relationship of yield stress with temperature and doped content as follows, (3) The first item of Eq.(3) represents the temperature effect, and its fraction coefficient reflects the secondary influence of strength.
For actual applications of SOFC, the oxygen partial pressure has important influence on the mechanical properties of GDC caused by the reduction reaction, i.e., non-stoichiometric GDC[12].
Online since: June 2012
Authors: Fang Ma, Li Hua Chen, Yi Ping Luo
The data sources from 2004 to 2008 are China Automotive Industry Yearbook and the data in 2006 is absent.
An important way to achieve energy saving and environmental protection objectives is to develop and use the technology of vehicle weight reduction.
An important way to achieve energy saving and environmental protection objectives is to develop and use the technology of vehicle weight reduction.