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Online since: September 2013
Authors: Keerati Kirdsiri, Parnuwat Chimalawong, Pichet Limsuwan, Jakrapong Kaewkhao
Fig. 1.
The excited states were observed at 3H6 (360 nm), 5G4 (380 nm), 5G5 (417 nm), 5G6 (453 nm), 5F3 (479 nm), 5F4 (538 nm), 5F5 (639 nm), and 5I5 (880 nm) respectively.
References [1] E.
Res. 537(1-2) (2005) 411-414
Solids. 283(1-3) (2001) 27-33
The excited states were observed at 3H6 (360 nm), 5G4 (380 nm), 5G5 (417 nm), 5G6 (453 nm), 5F3 (479 nm), 5F4 (538 nm), 5F5 (639 nm), and 5I5 (880 nm) respectively.
References [1] E.
Res. 537(1-2) (2005) 411-414
Solids. 283(1-3) (2001) 27-33
Online since: March 2015
Authors: Jiong Feng Liang, Ze Ping Yang, Ming Hua Hu
Introduction
Recycled concrete compared with ordinary concrete, the strength is slightly lower, elastic modulus is small, the deformation properties are increased [1]~[5].
It was shown in table 1.
Table 1 Proportioning of recycled aggregate concrete Replacement rate ( %) Recycled coarse aggregate (kg/m3) Cement ( kg/m3) Sand (kg/m3) Natural coarse aggregate (kg/m3) Water (kg/m3) 0 0 500 479 1231 190 25 307.75 500 479 923.25 190 50 615.5 500 479 615.5 190 75 923.25 500 479 307.75 190 100 1231 500 479 0 190 Table 2 All relevant parameters and measured test results of specimens Specimen Numbering Replacement rate(%) Package layers Parcel fcu(Mpa) F1 0 1 Full package 26.6 F2 25 1 Full package 20.9 F3 50 1 Full package 16.9 F4 75 1 Full package 15.1 F5 100 1 Full package 12.9 F6 50 1 Three stripe package 16.9 F7 100 1 Three stripe package 12.9 Test Results and Discussion Load—Deflection Relationship According to the collected test load and deflection value , the load-deflection relationship for a typical columns can be seen from the Figure .1.
As can be seen from the Figure 1, the load-displacement curve can be divided into elastic phase, elastic-plastic phase, plastic phase and destruction phases.
References [1] Claudio Javier Zega,Angel Antonio Di Maio.
It was shown in table 1.
Table 1 Proportioning of recycled aggregate concrete Replacement rate ( %) Recycled coarse aggregate (kg/m3) Cement ( kg/m3) Sand (kg/m3) Natural coarse aggregate (kg/m3) Water (kg/m3) 0 0 500 479 1231 190 25 307.75 500 479 923.25 190 50 615.5 500 479 615.5 190 75 923.25 500 479 307.75 190 100 1231 500 479 0 190 Table 2 All relevant parameters and measured test results of specimens Specimen Numbering Replacement rate(%) Package layers Parcel fcu(Mpa) F1 0 1 Full package 26.6 F2 25 1 Full package 20.9 F3 50 1 Full package 16.9 F4 75 1 Full package 15.1 F5 100 1 Full package 12.9 F6 50 1 Three stripe package 16.9 F7 100 1 Three stripe package 12.9 Test Results and Discussion Load—Deflection Relationship According to the collected test load and deflection value , the load-deflection relationship for a typical columns can be seen from the Figure .1.
As can be seen from the Figure 1, the load-displacement curve can be divided into elastic phase, elastic-plastic phase, plastic phase and destruction phases.
References [1] Claudio Javier Zega,Angel Antonio Di Maio.
Online since: August 2013
Authors: Jim Jui Min Lin, Mei Chuan Huang, Mei Fang Lu, Kuang Hung Cheng
Inside the tunnel, the average concentration of PM2.5 and PM2.5-10 was 479 and 444 μg/m3 respectively.
The average concentration of PM2.5 was 479±224 μg/m3, and the average concentration of PM10 was 923±347 μg/m3.
Table 1.
Inside the tunnel, the average concentration of PM2.5 and PM2.5-10 was 479 and 444μg/m3 respectively.
References [1] V.M.
The average concentration of PM2.5 was 479±224 μg/m3, and the average concentration of PM10 was 923±347 μg/m3.
Table 1.
Inside the tunnel, the average concentration of PM2.5 and PM2.5-10 was 479 and 444μg/m3 respectively.
References [1] V.M.
Online since: March 2013
Authors: Bonamali Pal Bonamali Pal, Rohit Singh Rohit Singh
The fluorescence emission of CdS nanorod at 479 nm is also quenched due to metals deposition.
Figure 1.
Emission spectra of CdS nanorod (λext = 360 nm) is observed at 479 nm due to recombination of photogenerated electrons and holes at the surface trap sites.
TEM images of (a & b) bare CdS nanorods, (c) 1 wt% Au (size 3.5 nm) deposited by NaBH4 reduction and (d) 1 wt% Au (size 2 nm) photodeposited CdS nanorods.
References [1] C.
Figure 1.
Emission spectra of CdS nanorod (λext = 360 nm) is observed at 479 nm due to recombination of photogenerated electrons and holes at the surface trap sites.
TEM images of (a & b) bare CdS nanorods, (c) 1 wt% Au (size 3.5 nm) deposited by NaBH4 reduction and (d) 1 wt% Au (size 2 nm) photodeposited CdS nanorods.
References [1] C.
Online since: September 2014
Authors: Lan Xiang Chen, Ping Guan
Three types of loading conditions are these that: 1.
The sample numbers of STSRC in the reference 2 are called NS-A and HS-D, and the sample one of STSRC in the reference 4 is called C-200-1.5-0, simulated in this paper.
Analysis of Numerical Simulation Results.Through the comparative analysis of the curves in Figure 4, Figure 5, and the results of Table 1, we can draw the following conclusions.
D (mm) t (mm) L (mm) Ass (mm2) fy/fu (Mpa) fys/fus (Mpa) fc (Mpa) Ey/Es (﹒105Mpa) Load conditions N (kN) HS-D 216 3 860 3570 269/389 314/433 47.9 1.9/1.97 one 3876 216 3 860 3570 269/389 314/433 47.9 1.9/1.97 two 3878 216 3 860 3570 269/389 314/433 47.9 1.9/1.97 three 3454 216 3 860 3570 269/389 314/433 47.9 1.9/1.97 Test:one 4130/4330 NS-A 166 2.7 655 2324 318/430 288/409 29.6 1.91/2.07 one 2310 166 2.7 655 2324 318/430 288/409 29.6 1.91/2.07 two 2310 166 2.7 655 2324 318/430 288/409 29.6 1.91/2.07 three 2191 166 2.7 655 2324 318/430 288/409 29.6 1.91/2.07 Test:one 2350/2081 C-200-1.5-0 200 1.5 600 2222 324.4/479 285.4/441 61.1 1.95/1.99 one 3170 200 1.5 600 2222 324.4/479 285.4/441 61.1 1.95/1.99 two 3170 200 1.5 600 2222 324.4/479 285.4/441 61.1 1.95/1.99 three 3000 200 1.5 600 2222 324.4/479 285.4/441 61.1 1.95/1.99 Test:two 3421 l The load conditions have no significant influence on the ductility of STSRC, but have effect on the destroyed shape of the specimens
References [1] Dazhou Zhao.
The sample numbers of STSRC in the reference 2 are called NS-A and HS-D, and the sample one of STSRC in the reference 4 is called C-200-1.5-0, simulated in this paper.
Analysis of Numerical Simulation Results.Through the comparative analysis of the curves in Figure 4, Figure 5, and the results of Table 1, we can draw the following conclusions.
D (mm) t (mm) L (mm) Ass (mm2) fy/fu (Mpa) fys/fus (Mpa) fc (Mpa) Ey/Es (﹒105Mpa) Load conditions N (kN) HS-D 216 3 860 3570 269/389 314/433 47.9 1.9/1.97 one 3876 216 3 860 3570 269/389 314/433 47.9 1.9/1.97 two 3878 216 3 860 3570 269/389 314/433 47.9 1.9/1.97 three 3454 216 3 860 3570 269/389 314/433 47.9 1.9/1.97 Test:one 4130/4330 NS-A 166 2.7 655 2324 318/430 288/409 29.6 1.91/2.07 one 2310 166 2.7 655 2324 318/430 288/409 29.6 1.91/2.07 two 2310 166 2.7 655 2324 318/430 288/409 29.6 1.91/2.07 three 2191 166 2.7 655 2324 318/430 288/409 29.6 1.91/2.07 Test:one 2350/2081 C-200-1.5-0 200 1.5 600 2222 324.4/479 285.4/441 61.1 1.95/1.99 one 3170 200 1.5 600 2222 324.4/479 285.4/441 61.1 1.95/1.99 two 3170 200 1.5 600 2222 324.4/479 285.4/441 61.1 1.95/1.99 three 3000 200 1.5 600 2222 324.4/479 285.4/441 61.1 1.95/1.99 Test:two 3421 l The load conditions have no significant influence on the ductility of STSRC, but have effect on the destroyed shape of the specimens
References [1] Dazhou Zhao.
Online since: January 2019
Authors: Ulyate Andries Curle, Jeremias D. Wilkins
Scripta Materialia 64 (2011) 479-482) and the Al-Si binary eutectic (Curle UA, Möller H, Wilkins JD.
Fig. 1 shows the research scale cell and the components thereof.
Dosing furnace 130 ton HPDC machine Control computer CSIR-RCS Figure 1.
References [1] A.
Scripta Mat. 64 (2011) 479
Fig. 1 shows the research scale cell and the components thereof.
Dosing furnace 130 ton HPDC machine Control computer CSIR-RCS Figure 1.
References [1] A.
Scripta Mat. 64 (2011) 479
Online since: October 2011
Authors: Yin Hui Ao, Zhen Xin Wu
The principle is showed in figure 1.a, and figure 1.b is the structure of LED [3].
Fig. 3 Simulation model in ExtendSim Table 2 The statistics of queues Queue 1 Queue 2 Queue 3 Queue 4 Length 0 40 479 0 Average 0 19.965278 239.0842 0 Maximum 1 40 480 1 Wait 0 19.18 239.5 0 Arrivals 1000 1000 959 479 Departures 1000 960 480 479 Utilization 0 0.9866319 0.9970486 0 The output products are only 479 from Table 2 in 480 minutes, it can not meet the needs of requirement, and therefore we must adjust the processing line.
Fig. 4 Optimization of the LED production line with ExtendSim Table 3 Statistic results of specified activities grinding washing Chemical polishing evaporation photolithography etching Length 0 1 0 1 1 1 Average 0.8680556 0.9991319 1.9802083 0.9314236 0.9303819 0.9293403 Arrivals 1000 960 895 895 894 893 Departures 1000 956 895 894 893 892 Utilization 0.8680556 0.9991319 0.7572917 0.9314236 0.9303819 0.9293403 Metal diffusion Kiss cutting inspection Through cut Check in Length 1 0 1 1 1 Average 0.9282986 0.928125 1.6178819 0.8803819 0.9763889 Arrivals 892 891 847 846 804 Departures 891 891 846 845 803 Utilization 0.9282986 0.928125 0.6491319 0.8803819 0.9763889 Table 3 gives out the results of the new simulation, the utilization of most activities are more than 95%, and the products output num is 803, which meets the planning requirement.
Reference: [1] C.
Journal of Foshan colloge of science and technology, 2006, 24(1):110-113
Fig. 3 Simulation model in ExtendSim Table 2 The statistics of queues Queue 1 Queue 2 Queue 3 Queue 4 Length 0 40 479 0 Average 0 19.965278 239.0842 0 Maximum 1 40 480 1 Wait 0 19.18 239.5 0 Arrivals 1000 1000 959 479 Departures 1000 960 480 479 Utilization 0 0.9866319 0.9970486 0 The output products are only 479 from Table 2 in 480 minutes, it can not meet the needs of requirement, and therefore we must adjust the processing line.
Fig. 4 Optimization of the LED production line with ExtendSim Table 3 Statistic results of specified activities grinding washing Chemical polishing evaporation photolithography etching Length 0 1 0 1 1 1 Average 0.8680556 0.9991319 1.9802083 0.9314236 0.9303819 0.9293403 Arrivals 1000 960 895 895 894 893 Departures 1000 956 895 894 893 892 Utilization 0.8680556 0.9991319 0.7572917 0.9314236 0.9303819 0.9293403 Metal diffusion Kiss cutting inspection Through cut Check in Length 1 0 1 1 1 Average 0.9282986 0.928125 1.6178819 0.8803819 0.9763889 Arrivals 892 891 847 846 804 Departures 891 891 846 845 803 Utilization 0.9282986 0.928125 0.6491319 0.8803819 0.9763889 Table 3 gives out the results of the new simulation, the utilization of most activities are more than 95%, and the products output num is 803, which meets the planning requirement.
Reference: [1] C.
Journal of Foshan colloge of science and technology, 2006, 24(1):110-113
Online since: January 2015
Authors: Zhe Shi, Gui Fang Zhang, Xiao Lei Zhou, Bang Fu Huang
Analyzing is shown in Fig.1.
(d.m3)-1 EVUC of No.1/t.
(d.m3)-1 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.0 417 427 438 448 458 469 479 2.1 427 438 448 458 469 479 490 2.2 438 448 458 469 479 490 500 2.3 448 458 469 479 490 500 510 2.4 458 469 479 490 500 510 521 2.5 469 479 490 500 510 521 531 2.6 479 490 500 510 521 531 542 (2) CC demand In a certain period of time, CC demand means the consumed iron quantity.
(m3.d)-1 2.0 2.1 2.2 2.3 2.4 2.5 2.6 Hourly supply of 2 BFs /t.h-1 458 469 479 490 500 510 521 Casting heats of No.1 CC /heat 28 29 30 31 32 33 34 Hourly demand of 2 CCs /t.h-1 468 476 483 491 499 507 515 Fig.2 Relationship of pig iron supply and demand As shown in Table 4 and Fig.2, BF supply is less than CC demand when effective volume utilization coefficient of No.1 BF is smaller or equal to 2.3 t/(m3.d) and casting heats of No.1 CC is smaller or equal to 31 heats.
References [1] J.
(d.m3)-1 EVUC of No.1/t.
(d.m3)-1 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.0 417 427 438 448 458 469 479 2.1 427 438 448 458 469 479 490 2.2 438 448 458 469 479 490 500 2.3 448 458 469 479 490 500 510 2.4 458 469 479 490 500 510 521 2.5 469 479 490 500 510 521 531 2.6 479 490 500 510 521 531 542 (2) CC demand In a certain period of time, CC demand means the consumed iron quantity.
(m3.d)-1 2.0 2.1 2.2 2.3 2.4 2.5 2.6 Hourly supply of 2 BFs /t.h-1 458 469 479 490 500 510 521 Casting heats of No.1 CC /heat 28 29 30 31 32 33 34 Hourly demand of 2 CCs /t.h-1 468 476 483 491 499 507 515 Fig.2 Relationship of pig iron supply and demand As shown in Table 4 and Fig.2, BF supply is less than CC demand when effective volume utilization coefficient of No.1 BF is smaller or equal to 2.3 t/(m3.d) and casting heats of No.1 CC is smaller or equal to 31 heats.
References [1] J.
Online since: November 2007
Authors: S.G. Kim, S.M. Baik
The location and
fixture size was determined for each of the 479 implants.
Table 1.
Among the 479 implants, there were 28 failures.
Summary 1.
References [1] W.
Table 1.
Among the 479 implants, there were 28 failures.
Summary 1.
References [1] W.
Online since: January 2013
Authors: Qing Bao Ren, Song Hua Ma, Jian Ping Fang
In this paper, via a mapping equation we find some new exact solutions of the (1+1)-dimensional Burgers equation.
Now we apply the projective equation approach to (1).
References [1] C.L.
Commun Theor Phys. (2003) 39(1):9-14 [4] C.L.
Commun Theor Phys.(2009)51(3):479-484
Now we apply the projective equation approach to (1).
References [1] C.L.
Commun Theor Phys. (2003) 39(1):9-14 [4] C.L.
Commun Theor Phys.(2009)51(3):479-484