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Online since: June 2012
Authors: Tong Chun Li, Quang Hung Nguyen, Hoang Hung Vu
Analysis result
4.6.1.
Static analysis Results are summarized in tables 1 to 2 and figures 1 to 3.
Fig. 7 show Y – Component of stress for downstream faces of the dam (t=1s, 1.64s, 3s, 5s).
References [1] Dong, F.
X, Adaptive Finite Element Method and Its Applications in Engineering, Advances in Mechanics, 27(4), 1997, 479-488
Static analysis Results are summarized in tables 1 to 2 and figures 1 to 3.
Fig. 7 show Y – Component of stress for downstream faces of the dam (t=1s, 1.64s, 3s, 5s).
References [1] Dong, F.
X, Adaptive Finite Element Method and Its Applications in Engineering, Advances in Mechanics, 27(4), 1997, 479-488
Online since: July 2012
Authors: Charles C. Sorrell, N. Ehsani, A.J. Ruys
Table 1.
Figure 1.
Conclusions 1.
Sci., Vol. 32, No. 1, February 2009, pp. 1–13
Meng, “Microwave Radiation Effects on Ionic Current in Ionic Crystalline Solids”, pp. 479-88 in Microwave Processing of Materials IV (Mater.
Figure 1.
Conclusions 1.
Sci., Vol. 32, No. 1, February 2009, pp. 1–13
Meng, “Microwave Radiation Effects on Ionic Current in Ionic Crystalline Solids”, pp. 479-88 in Microwave Processing of Materials IV (Mater.
Online since: February 2015
Authors: Wei Wei Song
(1) Topology.
Smart Grid., vo.4, no. 1, March, 2013, pp.479–488
Smart Grid., vo.4, no. 1, March 2013, pp.586–595
Smart Grid., vo.4, no. 1, March 2013, pp.467–478
Smart Grid., vo.3, no. 1, March 2012, pp.551–558
Smart Grid., vo.4, no. 1, March, 2013, pp.479–488
Smart Grid., vo.4, no. 1, March 2013, pp.586–595
Smart Grid., vo.4, no. 1, March 2013, pp.467–478
Smart Grid., vo.3, no. 1, March 2012, pp.551–558
Online since: April 2021
Authors: Priyambada Cahya Nugraha, I Dewa Gede Hari Wisana, Dwiana Estiwidani
Fig. 1.
Table 1.
Table 1.
References [1] G.
Sleep Med., vol. 1313, no. 3, pp. 479–504, 2017, doi: 10.5664/jcsm.6506
Table 1.
Table 1.
References [1] G.
Sleep Med., vol. 1313, no. 3, pp. 479–504, 2017, doi: 10.5664/jcsm.6506
Online since: June 2014
Authors: Run Wang
(1)
(2)
Where Rn> 1, the points are in a random layout; Rn= 1, the points are in a dispersed layout; Rn< 1, the element is in a clustered layout.
References [1]Jackson J, 2006.
Progress in Geography, 26(2):1-13.
On Economic Problems, (1):121-123.
Journal of Guilin Institution of Tourism,18(4):479-483.
References [1]Jackson J, 2006.
Progress in Geography, 26(2):1-13.
On Economic Problems, (1):121-123.
Journal of Guilin Institution of Tourism,18(4):479-483.
Online since: January 2014
Authors: Li Ting Kang, Yong Wang
Table 1 showed details of the theoretical model: the factors, items and definitions.
References [1] Herlocker, J.
Acm Transactions on Information Systems Vol. 22, 1(2004), P. 5-53
Behaviour & Information Technology Vol. 29, 1(2010), P. 57-83
Decision Support Systems Vol. 48, 3(2010), P. 470-479
References [1] Herlocker, J.
Acm Transactions on Information Systems Vol. 22, 1(2004), P. 5-53
Behaviour & Information Technology Vol. 29, 1(2010), P. 57-83
Decision Support Systems Vol. 48, 3(2010), P. 470-479
Online since: December 2024
Authors: Roman Purdenko, Yurii Otrosh, Nina Rashkevich, Roman Maiboroda
Fig. 1.
IOP Publishing, 708 (1) (2019) p. 012058
Innovative Infrastructure Solutions, 1. 1–51
Minerals, 10(5) (2020) 479
Earthq Eng Struct Dyn, 40(1) (2011) 93–105
IOP Publishing, 708 (1) (2019) p. 012058
Innovative Infrastructure Solutions, 1. 1–51
Minerals, 10(5) (2020) 479
Earthq Eng Struct Dyn, 40(1) (2011) 93–105
Online since: November 2011
Authors: Ling Zhang, Zhi Xian Chang, De Liang Li
Jia [14] conducted FT-IR analysis of unmodified and VTES-modified nanosilica, getting characteristic peaks including 1100~1000 cm-1, 950~900 cm-1, 3430 cm-1, and 1650 cm-1 corresponding to u(Si-O-Si), u(Si-OH), u(nanosilica’s O-H), and u(C=C), respectively.
References [1] X.H.
Vol. 237(1-4) (2004), p. 398 [11] H.
Zou: Plastics Additives. 2006 (6):1-5(In Chinese) [38] C.F.
Vol. 479 (2005), p. 216 [69] Z.
References [1] X.H.
Vol. 237(1-4) (2004), p. 398 [11] H.
Zou: Plastics Additives. 2006 (6):1-5(In Chinese) [38] C.F.
Vol. 479 (2005), p. 216 [69] Z.
Online since: June 2023
Authors: Teresa Miranda, Jorge Padrão, Andrea Zille, Joana Faria
Formic acid solutions with concentrations equal to 30 g L-1 and 40 g L-1 are the most adequate to treat the CV and CO fabrics, respectively.
The dyeing recipe included Levafix Blue CA shade percentage of 1%, NaCl (35 g L-1), Na2CO3 (5 g L-1), and NaOH (0.9 mL L-1).
CO and CV samples with 6.25 cm2 were inoculated with either 8.38 × 108 CFU mL-1 S. aureus or 1.31 × 109 CFU mL-1 of E. coli in 50 µL PBS.
Logarithmic reduction [CFU mL-1]=Log(A)-Log (B)
[7] Gnana Priya, K., and Jeyakodi Moses, J., Assessment of anti-bacterial effect, antiodoureffect, uv- protection factor and xrd on formic acid treated modal and cotton fabric., CIKITUSI JOURNAL FOR MULTIDISCIPLINARY RESEARCH 6 (2019) 467–479
The dyeing recipe included Levafix Blue CA shade percentage of 1%, NaCl (35 g L-1), Na2CO3 (5 g L-1), and NaOH (0.9 mL L-1).
CO and CV samples with 6.25 cm2 were inoculated with either 8.38 × 108 CFU mL-1 S. aureus or 1.31 × 109 CFU mL-1 of E. coli in 50 µL PBS.
Logarithmic reduction [CFU mL-1]=Log(A)-Log (B)
[7] Gnana Priya, K., and Jeyakodi Moses, J., Assessment of anti-bacterial effect, antiodoureffect, uv- protection factor and xrd on formic acid treated modal and cotton fabric., CIKITUSI JOURNAL FOR MULTIDISCIPLINARY RESEARCH 6 (2019) 467–479
Online since: February 2015
Authors: Jozef Minár, Jozef Kačur
We assume the relation of
capillary-pressure versus effective saturation (retention curve) in van Genuchten's empirical ansatz
u = { (
1
1+(αh)n)m , for h < 0
1, for h ≥ 0 ; h = (1 − u 1m)1n
αu 1n−1
, for u < 1, (7)
where a, n and m = 1−1/n are the soil parameters: these are the characteristic parameters describing
the type of the porous media.
Then the corresponding objective function to this discretization reads as follows: (31) Then the variation of the function J (defined by the equations (31), (14)-(18)) in the direction δK has the following form: (32) where the values λji are given by the following recurrent relation: λMi = 0, (33) aj+1 i = h j+1 i − h j+1 i−1 ∆x − ω2 g (r1 + i − 1/2 ∆x ) , bj+1 i = K(h j+1 i−1) + K(h j+1 i ) ∆x , (34)(35) (36) λj0 [∆xθ'(h j+1 0 ) ∆tj − (K'(h j+1 0 )a j+1 1 − b j+1 1 ) ] + λj1[(K'(h j+1 0 )aj+1 1 − bj+1 1 )] = λj+1 0 ∆x ∆tj θ'(h j+1 0 )
We write down here only the general formula for inner basis functions: bi(h) = 0, for h /∈ ⟨hi−2, hi+2⟩, − (h−hi−2)2 (hi−hi−2)(hi−1−hi−2) (h−hi−2)3 (hi−hi−2)(hi−1−hi−2)2, for h ∈ ⟨hi−2, hi−1⟩, h−hi−1 h−hi−2 + ( 3 (hi−hi−1)2 − 2 (hi−hi−1)(hi−hi−2)) (h − hi−1)2 + (− 2(hi−hi−1)3 + 1 (hi−hi−1)2(hi−hi−2)) (h − hi−1)3, for h ∈ ⟨hi−1, hi⟩, 1 + (− 3(hi+1−hi)2 + 1 (hi+1−hi)(hi+2−hi)) (h − hi)2 + ( 2 (hi+1−hi)3 − 1 (hi+1−hi)2(hi+2−hi)) (h − hi)3, for h ∈ ⟨hi, hi+1⟩, − h−hi+1 hi+2−hi + 2(h−hi+1)2 (hi+2−hi)(hi+2−hi+1) − (h−hi+1)3 (hi+2−hi)(hi+2−hi+1)2), for h ∈ ⟨hi+1, hi+2⟩
Let: ξ1 = rand, q1noise = ξ1q1meas, for j = 2, 3, ..., z : ξj = ξj−1 + (rand − 1)tj − tj−1 50 ; qjnoise = ξjqjmeas
Parameter estimation of two---fluid capillary pressure-- -saturation and permeability functions Advances in Water Resources Vol.22,No 5, pp. 479-493, 1999
Then the corresponding objective function to this discretization reads as follows: (31) Then the variation of the function J (defined by the equations (31), (14)-(18)) in the direction δK has the following form: (32) where the values λji are given by the following recurrent relation: λMi = 0, (33) aj+1 i = h j+1 i − h j+1 i−1 ∆x − ω2 g (r1 + i − 1/2 ∆x ) , bj+1 i = K(h j+1 i−1) + K(h j+1 i ) ∆x , (34)(35) (36) λj0 [∆xθ'(h j+1 0 ) ∆tj − (K'(h j+1 0 )a j+1 1 − b j+1 1 ) ] + λj1[(K'(h j+1 0 )aj+1 1 − bj+1 1 )] = λj+1 0 ∆x ∆tj θ'(h j+1 0 )
We write down here only the general formula for inner basis functions: bi(h) = 0, for h /∈ ⟨hi−2, hi+2⟩, − (h−hi−2)2 (hi−hi−2)(hi−1−hi−2) (h−hi−2)3 (hi−hi−2)(hi−1−hi−2)2, for h ∈ ⟨hi−2, hi−1⟩, h−hi−1 h−hi−2 + ( 3 (hi−hi−1)2 − 2 (hi−hi−1)(hi−hi−2)) (h − hi−1)2 + (− 2(hi−hi−1)3 + 1 (hi−hi−1)2(hi−hi−2)) (h − hi−1)3, for h ∈ ⟨hi−1, hi⟩, 1 + (− 3(hi+1−hi)2 + 1 (hi+1−hi)(hi+2−hi)) (h − hi)2 + ( 2 (hi+1−hi)3 − 1 (hi+1−hi)2(hi+2−hi)) (h − hi)3, for h ∈ ⟨hi, hi+1⟩, − h−hi+1 hi+2−hi + 2(h−hi+1)2 (hi+2−hi)(hi+2−hi+1) − (h−hi+1)3 (hi+2−hi)(hi+2−hi+1)2), for h ∈ ⟨hi+1, hi+2⟩
Let: ξ1 = rand, q1noise = ξ1q1meas, for j = 2, 3, ..., z : ξj = ξj−1 + (rand − 1)tj − tj−1 50 ; qjnoise = ξjqjmeas
Parameter estimation of two---fluid capillary pressure-- -saturation and permeability functions Advances in Water Resources Vol.22,No 5, pp. 479-493, 1999