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Online since: July 2013
Authors: Wen Shu Zhi, Xin Hui Ma, Bao Cui, Jing Peng Chen, Wei Li
Table 5 Rotating components matrix Component 1 2 3 4 Personnel communicate and emergency ability .173 .146 .134 .887 Personnel knowledge level .945 .160 .094 .035 Personnel physical health .433 .752 .500 .233 Personnel operating ability .015 .819 .334 .232 Personnel psychological health .154 .027 .905 .182 Personnel responsibility .465 .187 .896 .401 Personnel professional technology level .892 .013 .178 .140 Personnel workload .121 .850 .168 .053 Table 4 Common variance Original Extract Personnel communicate and emergency ability 1.000 .844 Personnel knowledge level 1.000 .625 Personnel physical health 1.000 .758 Personnel operating ability 1.000 .756 Personnel psychological health 1.000 .772 Personnel responsibility 1.000 .567 Personnel professional technology level 1.000 .773 Personnel workload 1.000 .831 (2) The principal factor determine According to analyze the factor with SPSS software, obtain the rotating components matrix as shown in table 5 and the eigenvalues of rotating
Table 7 Factor analysis results of human factor Item Factor named Contained original index Factor load 1 2 3 4 1 Knowledge level Personnel knowledge level .945 Personnel professional technology level .892 2 Physiological factor Personnel physical health .752 Personnel operating ability .819 Personnel workload .850 3 Psychological factor Personnel psychological health .905 Personnel responsibility .896 4 Communicate and emergency ability Personnel communicate and emergency ability .887 From table 7, we can see that the load of each variable in corresponding principal component is high, so the original indexes of the corresponding principal components are significant correlation.
Online since: August 2014
Authors: Charnnarong Saikaew, Parinya Srisattayakul, Naphatara Intanon, Supakanya Khanchaiyaphum
Vol. 896 (2014), p. 249-252
Vol. 896 (2014), p. 706-709.
Online since: February 2018
Authors: Qi Wang, Zhi Bin Wang, Yun Fan Dong, Kang Wang, Jin Feng Leng, Shao Chen Zhang
Design. 88 (2015) 889-896 [2] S.W.
Alloy Compd. 650 (2015) 896-906
Online since: February 2021
Authors: Ghaidaa Abdulrahman khalid
From Table 2, the storage modulus (G') of silicon material with assigned code three, six, and seven were 3565.41± 948.91Pa, 1321.19 ± 595.38Pa, and 896 ± 219.70, respectively.
Code of silicon materials Strain % Mean storage modulus (G'), (Pa) Mean loss modulus (G''), (Pa) one 0.5% 9907.30 ± 1795.20 3383.55 ± 851.70 Two 13142.65 ± 2317.20 4200.57 ± 1079.60 Three 4088.16±801.68 1371.26 ± 336.54 Four 6027.56 ± 1449.25 2375.59 ± 586.03 Five 5896.16±1176.41 2048.80 ± 494.18 Six 2421.18 ± 655.00 666.81 ± 221.20 Seven 1478.84 ± 583.90 304.26 ± 137.87 Three 5% 4549.37±1122.47 1131.68 ± 503.50 Six 2948.27 ± 1016.35 693.40 ± 382.58 Seven 1393.54 ± 432.31 411.09 ± 314.90 Three 50% 3565.41± 948.91 982.79 ± 437.54 Six 1321.19 ± 595.38 629.55 ± 304.93 Seven 896 ± 219.70 385.56 ± 263.49 Figure 3 Comparison of the storage modulus (G') against frequency for low strain experiment.
Also, the storage modulus (G') of these materials were close by 80.30%, 69.60%, and 35.70% correspondingly compared to the mixed white/grey matter (G'=896.00 ± 219.71Pa) of the 2-3day old piglet data [15].
Also, the storage modulus (G') of these materials were close by 74.87%, 55.38%, 32.18% correspondingly compared to the mixed white/grey matter (G'=896.00 ± 219.71Pa) of the 2-3day old piglet data [15].
Material Selection of the Brain Model From the rheometer and density test results, the silicone material appointed with code seven (G' = 896 ± 219.70 Pa, G''= 385.56 ± 263.49 Pa, ρ =1.00 g/ml) was chosen as a material for manufacturing the white matter of the paediatric brain model.
Online since: December 2006
Authors: Jae Ho Jung, Soon Jong Yoon, Won Sup Jang, Young Ho Kim
., 2005) Specimen fc' bp hp tp bf Nh/Dh Npr/Dpr Ntr/Dtr Qu C-P1-I-0 27.5 400 150 8 100 3/50 N/A 6/13 732 C-P1-I-1 27.5 400 150 8 100 3/50 1/19 6/13 764 C-P1-I-2 27.5 400 150 8 100 3/50 2/19 6/13 359 C-P1-I-3 27.5 400 150 8 100 3/50 3/19 6/13 888 C-P1-II-3 35.7 400 150 8 100 3/50 3/19 6/13 914 C-P1-III-3 40.8 400 150 8 100 3/50 3/19 6/13 941 C-P2-I-0 27.5 400 150 8 100 2/50 N/A 6/13 680 C-P3-I-0 27.5 400 150 8 100 4/50 N/A 6/13 727 C-P4-I-3 27.5 400 150 8 100 3/40 3/19 6/13 813 C-P5-I-3 27.5 400 150 8 100 3/60 3/19 6/13 755 C-P6-I-3 27.5 400 130 8 100 3/50 3/19 6/13 810 C-P7-I-3 27.5 400 170 8 100 3/50 3/19 6/13 896 C-P8-I-3 27.5 400 150 8 50 3/50 3/19 6/13 826 Definition and unit of each symbol are the same as Table 1.
1.19 569 0.99 519 1.09 PPB-III-1 594 659 0.90 375 1.58 512 1.16 605 0.98 555 1.07 PPB-III-2 646 707 0.91 411 1.57 547 1.18 640 1.01 590 1.09 PPB-III-3 682 755 0.90 446 1.53 582 1.17 676 1.01 626 1.09 PPB-VI-0 528 611 0.86 340 1.55 477 1.11 434 1.22 384 1.38 PPB-VI-3 615 755 0.81 446 1.38 582 1.06 540 1.14 490 1.25 C-P1-I-0 732 714 1.03 421 1.74 547 1.34 674 1.09 595 1.23 C-P1-I-1 764 782 0.98 471 1.62 597 1.28 724 1.06 645 1.18 C-P1-I-2 853 851 1.00 521 1.63 647 1.32 774 1.10 695 1.23 C-P1-I-3 888 919 0.97 572 1.55 697 1.27 824 1.08 745 1.19 C-P1-II-3 914 992 0.92 635 1.44 746 1.22 947 0.97 857 1.07 C-P1-III-3 941 1033 0.91 673 1.40 774 1.22 1022 0.92 926 1.02 C-P2-I-0 680 676 1.01 377 1.80 530 1.28 630 1.08 578 1.18 C-P3-I-0 727 751 0.97 464 1.57 564 1.29 717 1.01 612 1.19 C-P4-I-3 813 879 0.93 526 1.55 679 1.20 777 1.05 726 1.12 C-P5-I-3 755 969 0.78 630 1.20 720 1.05 881 0.86 767 0.98 C-P6-I-3 810 919 0.88 553 1.47 697 1.16 777 1.04 698 1.16 C-P7-I-3 896
Online since: September 2019
Authors: Jong Ryeol Kim, Meruyert Sovetova, Shazim Ali Memon
Material Thickness, (mm) Density, (kg/m3) Conductivity, (W/m K) Specific heat, (J/kgK) Roof (U-value = 2.462 W/m2-K) Ceramic tile 25 2300 1.3 840 PCM 20 860 0.2 1970 Mortar 20 1650 0.72 920 Sandstone 70 2240 1.74 840 Reinforced concrete 150 2300 1.9 840 Ceramic tile 10 2100 1.4 800 Wall (U-value = 2.383W/m2-K) Cement plaster 12.5 1762 0.721 840 PCM 20 860 0.2 1970 Dense concrete 200 2410 1.74 880 Cement plaster 12.5 1762 0.721 840 Intermediate floor (U-value = 2.221 W/m2-K) Ceramic tile 25 2300 1.3 840 Mortar 25 2800 0.88 896 Sandstone 50 2200 1.83 712 Reinforced concrete 150 2300 2.3 1000 Plaster (dense) 20 1300 0.5 1000 Ground floor (U-value = 2.014 W/m2-K) Ceramic tile 25 2300 1.3 840 Mortar 25 2800 0.88 896 Sandstone 100 2200 1.83 712 Reinforced concrete 100 2300 2.3 1000 Asphalt insulation 5 2100 0.7 1000 Concrete high density 50 2400 2 1000 Base-course stone 150 2000 1.4 1000 Earth 2 1460 1.28 880 DesignBuilder software was used for simulations and simulation details were taken
Online since: September 2021
Authors: Ilya L. Borisov, Tatyana S. Anokhina, Alexey A. Yushkin, Alexey V. Volkov, Andrey Didenko, Gleb Vaganov
Sci. 38 (2013) 874-896; [2] C.E.
Sci., 38 (2013) 874-896
Online since: January 2012
Authors: Xuan Min Song, Ping Wei Xing, Yu Ping Fu
The movement law of the overlying strata Table 1 The statistics of immediate roof and main roof collapsing intervals Numbers Items Workface advanced distance Collapsing intervals Model/mm Prototype/m Model/mm Prototype/m 1 The first caving of the immediate roof 416 20.8 416 20.8 2 The first pressure of the main roof 896 44.8 896 44.8 3 1st collapsing interval 1104 55.2 208 10.4 4 2nd collapsing interval 1504 75.2 400 20 5 3rd collapsing interval 1792 89.6 288 14.4 6 4th collapsing interval 1952 97.6 160 8 7 5th collapsing interval 2256 112.8 304 15.2 8 6th collapsing interval 2448 122.4 192 9.6 9 Mean of main roof collapsing intervals 259 12.9 Put a group of displacement measuring points in the middle layer of the immediate roof, their numbers are 1#~12#.
Online since: December 2012
Authors: Shao Wu Dong
IEEE International, Page(s):896 – 900 [3] R.
Online since: January 2013
Authors: Yong Qiu Chen, Zhi Xin Wang, Yong Kui Han
.), ASM International, 1993, p 896