Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: February 2013
Authors: Zhen Hua Liu, Ying Shi Zhao, Yue Ming Hu
According to soil thermal characteristic, the thermal inertia model was firstly developed and applied in the geologic interpretation using infrared (IR) images by Watson et al[1].
Zhang et al. [13] proposed a thermal inertia model considering surface sensible and latent fluxes, but neglecting vegetation and soil two-layer impact, and derive soil moisture availability by differential thermal inertia, after many experiments, only using remotely sensed information rather than local soil parameters such as soil properties and type.
XUE and et al[14] developed a thermal inertia model to be suitable in situations whether or not the satellite overpass time coincides with the local maximum and mini-mum temperature time.
[5]SOBRINO, J.A., and KHARRAZ, M.H.El., Combining afternoon and morning NOAA satellites for thermal inertia estimation 2, Methodology and application, Journal of Geophysical Research.
Zhang et al. [13] proposed a thermal inertia model considering surface sensible and latent fluxes, but neglecting vegetation and soil two-layer impact, and derive soil moisture availability by differential thermal inertia, after many experiments, only using remotely sensed information rather than local soil parameters such as soil properties and type.
XUE and et al[14] developed a thermal inertia model to be suitable in situations whether or not the satellite overpass time coincides with the local maximum and mini-mum temperature time.
[5]SOBRINO, J.A., and KHARRAZ, M.H.El., Combining afternoon and morning NOAA satellites for thermal inertia estimation 2, Methodology and application, Journal of Geophysical Research.
Online since: September 2014
Authors: Guo Cai Zhou, Hai Qing Pei
[3] Matlik JF, Farris TN, Haake FK, et al.
[6] Hirschberger CB, Peerlings RHJ, Brekelmans WAM, et al.
Mod-elling Simul.
[10] Yin ZY, Yue ZF, Yang ZG, et al.
[6] Hirschberger CB, Peerlings RHJ, Brekelmans WAM, et al.
Mod-elling Simul.
[10] Yin ZY, Yue ZF, Yang ZG, et al.
Online since: July 2020
Authors: Ameen Hadi Mohammed, Tamador Ali Mahmood, Selvana Adwar Yousif, Aminu Musa, Nerodh Nasser Dally
Synthesis, Characterization and Reactivity Ratios of Poly Phenyl Acrylamide-Co-Methyl Methacrylate
Ameen Hadi Mohammed1,a*, Tamador Ali Mahmood2,b,
Selvana Adwar Yousif3,c, Aminu Musa4,d and Nerodh Nasser Dally5,e
1,2,3,5Department of Chemistry, College of Science for Women, University of Baghdad, 10071 Al Jadria, Baghdad, Iraq
4Department of Pure and Industrial Chemistry, Faculty of Natural and Applied Sciences, Umaru Musa Yar’adua University, Katsina, Dutsin-Ma Road, P.M.B 2218, Katsina 820001, Nigeria
aameenhadi80@yahoo.com, btamadhor_mahmaud@yahoo.com, cSilvanaedwer@yahoo.com, daminu.musa@umyu.edu.ng, enerodhnasser@yahoo.com
Keywords: Phenyl acrylamide, methyl methacrylate, reactivity ratios, sequence distribution.
[7] M.H El-Newehy, S.S Al-Deyab, A.M Al-Hazmi, Reactivity ratios for organotin copolymer systems, Molecules. 15 (2010) 2749-58
[7] M.H El-Newehy, S.S Al-Deyab, A.M Al-Hazmi, Reactivity ratios for organotin copolymer systems, Molecules. 15 (2010) 2749-58
Online since: June 2022
Authors: Saleh A. Alghamdi, Khalid Alblalaihid, Anas Alburayt, Ahmed Alwahid, Meshal Abuobaid, Abdullatif Alshaikh, Sabri Alkhibari, Ibrahim M. Alarifi
Alarifi3,4,h
1National Centre for Jet Engines, Space and Aeronautics Research Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia
2National Satellite Technology Center - NSTC, Space and Aeronautics Research Institute,
King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia
3Department of Mechanical and Industrial Engineering, College of Engineering,
Majmaah University, Al-Majmaah 11952, Riyadh, Saudi Arabia
4Engineering and Applied Science Research Center, Majmaah University, Al-Majmaah 11952, Riyadh, Saudi Arabia
aalblehed@kacst.edu.sa, bsaalghamdi@kacst.edu.sa, cabareet@kacst.edu.sa, daweheed@kacst.edu.sa, emabuobaid@kacst.edu.sa, faalshaikh@kacst.edu.sa, asalkhaibari@kacst.edu.sa, hi.alarifi@mu.edu.sa
Keywords: Capacitive Sensor, Fibre-reinforced Polymer Composites, Structural Health Monitoring, Smart Structure.
[15] McCrory JP., Al-Jumaili SK., Crivelli D., Pearson MR., Eaton MJ., Featherston CA., (2015).
[18] Nassr, A.A. and El-Dakhakhni, W.W., (2011).
[15] McCrory JP., Al-Jumaili SK., Crivelli D., Pearson MR., Eaton MJ., Featherston CA., (2015).
[18] Nassr, A.A. and El-Dakhakhni, W.W., (2011).
Online since: June 2018
Authors: Selim Gürgen
Lee et al. [3] studied the deformation modes of polyethylene based high performance fabrics in multi-layer targets.
Chu et al. studied the impact resistance of aramid based fabrics at oblique impact conditions changing the weave types of fabrics.
To show the influence of composite laminate thickness, Gellert et al. [9] investigated targets with various thicknesses under ballistic impacts.
El-Shiekh, An Experimental Investigation of High Velocity Impact and Penetration Failure Modes in Textile Composites, J.
Chu et al. studied the impact resistance of aramid based fabrics at oblique impact conditions changing the weave types of fabrics.
To show the influence of composite laminate thickness, Gellert et al. [9] investigated targets with various thicknesses under ballistic impacts.
El-Shiekh, An Experimental Investigation of High Velocity Impact and Penetration Failure Modes in Textile Composites, J.
Online since: October 2012
Authors: Hui Zhou, Ping Hu
Second is the destructive position of the faceplate, the destructive position is affected by V shape valley, U shape valley, the ratio of width and height, the wave spread direction et al.
Zhang et al. studied the seismic coefficient of earth-rockfill dams higher than 150m.
Table 1 The computational cases Wave Seismic intensity Height of the dam(m) Width of the valley(m) Slope ratio of the bank (1) Taft wave (2) El Centro wave (3) Banshen wave (4) Shenhu wave (1) 7° (2) 8° (3) 9° (1) 100 (2) 150 (3) 200 (4) 250 (5) 300 (1) 50 (2) 150 (3) 300 (4) 500 (1) 0.4 (2) 0.6 (3) 0.8 (4) 1.0 (5) 1.5 The crest width of the dam is 10m, the slope ratios of the upstream and downstream are 1:1.6, the density of the rockfill is and the density of the concrete faceplate is .
[10] KONG Xian-jing, LOU Shu-lian, ZOU De-gao, et al.
Zhang et al. studied the seismic coefficient of earth-rockfill dams higher than 150m.
Table 1 The computational cases Wave Seismic intensity Height of the dam(m) Width of the valley(m) Slope ratio of the bank (1) Taft wave (2) El Centro wave (3) Banshen wave (4) Shenhu wave (1) 7° (2) 8° (3) 9° (1) 100 (2) 150 (3) 200 (4) 250 (5) 300 (1) 50 (2) 150 (3) 300 (4) 500 (1) 0.4 (2) 0.6 (3) 0.8 (4) 1.0 (5) 1.5 The crest width of the dam is 10m, the slope ratios of the upstream and downstream are 1:1.6, the density of the rockfill is and the density of the concrete faceplate is .
[10] KONG Xian-jing, LOU Shu-lian, ZOU De-gao, et al.
Online since: October 2010
Authors: Nelson Duarte, Marta Ochoa, António Portugal, João Paulo Dias, Nuno Rocha, Jessica Hernandez, Luisa Durães
In this work, silica based xerogels and aerogels were obtained via sol-gel technology with MTMS and MTES precursors, following the experimental procedures described by Rao, Bhagat et al. [2,4] and used in an earlier work [9].
The experimental procedure follows the description of Rao, Baghat et al. [2,4] and uses the instrumentation already presented in an earlier work [9].
Al.Oweini and H.
El-Rassy: J.
The experimental procedure follows the description of Rao, Baghat et al. [2,4] and uses the instrumentation already presented in an earlier work [9].
Al.Oweini and H.
El-Rassy: J.
Online since: July 2011
Authors: Joachim Rösler, Dawid Ksiezyk, Lenka Fusova, Karel Saksl, Pawel Rokicki, Zdeněk Spotz, Carsten Siemers, Badya Zahra
The addition of aluminium (Al) leads to the formation of thermally stable precipitations of g’-phase (Ni3Al) in the matrix material (g-phase).
In addition, aluminium (Al), chromium (Cr) and molybdenum (Mo) as alloying elements lead to excellent corrosion and oxidation resistance.
Due to its excellent corrosion resistance, the class of Ni-Cr-Mo alloys like Alloy 625 (chemical composition in wt% Ni: bal, Cr: 20 – 23%; Fe: <5%; Si: <0,5%; Mn <0.5%; Mo 8 – 10%; Ti <0.4%; Co <1%; Nb + Ta: 3.15 – 4.15%; Al <0.4%) is therefore not only applied in stationary gas turbines as sealing material or for exhaust systems, but is also used in low-temperature applications in the oil or gas industry wherever the corrosion resistance of steels in liquid media is not sufficient anymore [3].
El-Baradie, J.
In addition, aluminium (Al), chromium (Cr) and molybdenum (Mo) as alloying elements lead to excellent corrosion and oxidation resistance.
Due to its excellent corrosion resistance, the class of Ni-Cr-Mo alloys like Alloy 625 (chemical composition in wt% Ni: bal, Cr: 20 – 23%; Fe: <5%; Si: <0,5%; Mn <0.5%; Mo 8 – 10%; Ti <0.4%; Co <1%; Nb + Ta: 3.15 – 4.15%; Al <0.4%) is therefore not only applied in stationary gas turbines as sealing material or for exhaust systems, but is also used in low-temperature applications in the oil or gas industry wherever the corrosion resistance of steels in liquid media is not sufficient anymore [3].
El-Baradie, J.
Online since: January 2004
Authors: P.A. Sterne, Amy L.R. Bug, Melaku Muluneh, Jillian Waldman
For comparison, we have also calculated the lifetimes in a finitetemperature
version of the PIB model by summing the appropriate Bessel function contributions for
the given sphere size and temperature, following Goworek et al.[5].
We are also able to study mesopores at finite temperature, as suggested by Gidley et al.[5] for application to thin films.
While this model might be embellished to include polarization, Si and Al, counterions and adsorbates; it provides a starting point from which to consider various cage structures.
[3] E.L.
We are also able to study mesopores at finite temperature, as suggested by Gidley et al.[5] for application to thin films.
While this model might be embellished to include polarization, Si and Al, counterions and adsorbates; it provides a starting point from which to consider various cage structures.
[3] E.L.
Online since: December 2014
Authors: Evgeniy V. Aryshenskii, Anna F. Grechnikova, Vasiliy V. Yashin
The objective of this study is to assess the suitability of the above method for the evaluation of the hot-rolled, anisotropic Al–Mn–Mg alloy.
The measurement results were then used to calculate the anisotropy indices using Equation (5): (5) where eb is the compression strain across the flat sample width; el is the tensile strain along the sample length; b0 and bk are the initial and final sample widths; l0 and lk are the initial and final sample lengths.
In general, however, the simulation and experimental data lead to the conclusion that Equation (1) can be applied to calculate anisotropy parameters for Al–Mn–Mg hot-rolled work pieces.
Liu, Comparison of texture evolution between different thickness layers in cold rolled Al-Mg alloy.
The measurement results were then used to calculate the anisotropy indices using Equation (5): (5) where eb is the compression strain across the flat sample width; el is the tensile strain along the sample length; b0 and bk are the initial and final sample widths; l0 and lk are the initial and final sample lengths.
In general, however, the simulation and experimental data lead to the conclusion that Equation (1) can be applied to calculate anisotropy parameters for Al–Mn–Mg hot-rolled work pieces.
Liu, Comparison of texture evolution between different thickness layers in cold rolled Al-Mg alloy.