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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.
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: 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.
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
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: 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#.