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Online since: April 2015
Authors: Xue Song Tang, Tian Tian Wei
Define three normalized parameters as
, , (4)
where d0 is the characteristic length of crystalline grains (or micro-structures).
Three basic parameters s*, d* and μ* should vary with the cyclic number N or crack length a.
With the increment of time t or the cyclic number N, the restraining effect decreases and the material damage increases.
Fig. 5 Crack length a versus cycle number N curves for different a0: smax=210 MPa, sm=137 MPa, Case B.
Fig. 6 Crack length a versus cycle number N curves for Case A, B and C: smax=140 MPa, sm=69 MPa, a0=6 μm. 6.
Three basic parameters s*, d* and μ* should vary with the cyclic number N or crack length a.
With the increment of time t or the cyclic number N, the restraining effect decreases and the material damage increases.
Fig. 5 Crack length a versus cycle number N curves for different a0: smax=210 MPa, sm=137 MPa, Case B.
Fig. 6 Crack length a versus cycle number N curves for Case A, B and C: smax=140 MPa, sm=69 MPa, a0=6 μm. 6.
Online since: September 2020
Authors: Ian M. Hill, Aleksey V. Ignatov, Serhii V. Radio, Lyudmyla I. Ardanova, Evgeni I. Get'man
They regularly increase with an increase in the REEs’ numbers in the series Ce–Eu, then decrease sharply for Gd, and they increase again in the series Gd–Yb.
The Tcr values naturally decrease with increasing REE atomic numbers as expected (Table 1).
The dependence of critical decomposition temperatures Tcr on the REE atomic numbers (for x = 0.50) is also shown (curve e, Fig. 1).
It is shown that the increase in the REE number results in the decrease of the calculated mixing energies and critical decomposition temperatures of Sc1–xLnxVO4 solid solutions. 3.
Nie, Luminescence Properties of Fine-Grained ScVO4:Eu3+ and Sc0.93-xLnxVO4:Eu3+0.07 (Ln = Y,La,Gd,Lu) Phosphors, ECS J.
The Tcr values naturally decrease with increasing REE atomic numbers as expected (Table 1).
The dependence of critical decomposition temperatures Tcr on the REE atomic numbers (for x = 0.50) is also shown (curve e, Fig. 1).
It is shown that the increase in the REE number results in the decrease of the calculated mixing energies and critical decomposition temperatures of Sc1–xLnxVO4 solid solutions. 3.
Nie, Luminescence Properties of Fine-Grained ScVO4:Eu3+ and Sc0.93-xLnxVO4:Eu3+0.07 (Ln = Y,La,Gd,Lu) Phosphors, ECS J.
Online since: March 2014
Authors: Song Jin, Tong Na Liu
Such design paradigm helps to perform fine-grained DVFS, thereby effectively reducing the system energy [11]-[15].
For a task group, the matching VFIs includes three categories: (1) the VFIs are idle (i.e., all of the cores in the VFIs are available) and their size (core number) is equal to or larger than the task number of the task group; (2) the VFIs are not idle, whereas some cores within the VFIs are available and the core number is equal to or larger than the task number of the task group.
Partitioning VFI with regular shape is performed by grouping fixed number of adjacent cores into VFIs.
Note that the maximum VFI number is constrained to be 10.
Statistic of VFI partition Category regular irregular nVFI 8 9 nCore 4 3-5 nVFI: number of VFIs; nCore: number of cores in VFIs C.
For a task group, the matching VFIs includes three categories: (1) the VFIs are idle (i.e., all of the cores in the VFIs are available) and their size (core number) is equal to or larger than the task number of the task group; (2) the VFIs are not idle, whereas some cores within the VFIs are available and the core number is equal to or larger than the task number of the task group.
Partitioning VFI with regular shape is performed by grouping fixed number of adjacent cores into VFIs.
Note that the maximum VFI number is constrained to be 10.
Statistic of VFI partition Category regular irregular nVFI 8 9 nCore 4 3-5 nVFI: number of VFIs; nCore: number of cores in VFIs C.
Online since: June 2010
Authors: Helmut Tributsch, Bernhard Neumann, Thorsten Brezesinsky, Bernd Smarsly
But the given polycrystallinity of the electrodes together with the
existence of many grain boundaries may justify this.
No trap- or grain boundary limited electron transport (to the backcontact) [39, 40] is considered yet.
Two parameters, the effective diffusion coefficient and the migration velocity of charge carriers are influenced strongly by the number of grain boundaries and their energetic properties, e.g. deep or shallow trap states.
As a result, the overall number of generated charge carriers in the film increases.
One the one hand the number of grain boundaries decreases, whereas on the other hand the BCC lattice of pores starts to collapse for a heat-treatment above 700°C.
No trap- or grain boundary limited electron transport (to the backcontact) [39, 40] is considered yet.
Two parameters, the effective diffusion coefficient and the migration velocity of charge carriers are influenced strongly by the number of grain boundaries and their energetic properties, e.g. deep or shallow trap states.
As a result, the overall number of generated charge carriers in the film increases.
One the one hand the number of grain boundaries decreases, whereas on the other hand the BCC lattice of pores starts to collapse for a heat-treatment above 700°C.
Online since: January 2015
Authors: Yuan Li Wu, Pi Luo, Yan Zheng Wang, Guang Ya Si
K. proposes a fine-grained model for global undersea cable infrastruture and a network traffic modeling method based on network flow theory [4], but this model doesn’t include damage situation and time properties of network flow which are neccesary for real world.
Regions which have a larger number of Internet users usually send more network traffic than they receive at an international level.
The number of Internet hosts in these five regions is shown in table 1.
Number of Internet hosts by region Region Number of Internet hosts A 100,000,000 B 8,000,000 C 63,000,000 D 12,000,000 E 200,000,000 As table 2 shows, the traffic demand matrix is calculated using algorithm in section 3.2.
Since the number of Internet hosts in region E is the largest, the traffic E exchanged with other regions accounted for majority of the total traffic in the undersea cable system.
Regions which have a larger number of Internet users usually send more network traffic than they receive at an international level.
The number of Internet hosts in these five regions is shown in table 1.
Number of Internet hosts by region Region Number of Internet hosts A 100,000,000 B 8,000,000 C 63,000,000 D 12,000,000 E 200,000,000 As table 2 shows, the traffic demand matrix is calculated using algorithm in section 3.2.
Since the number of Internet hosts in region E is the largest, the traffic E exchanged with other regions accounted for majority of the total traffic in the undersea cable system.
Online since: February 2013
Authors: Li Bin Xu, Nai Qian Feng, Ch'ng Guan Bee
Ch'ng Guan Bee3
1Guizhou Science Research and Design Institute of CSCES, China
2Tsinghua University, China
3Kuala Lumpur Infrastructure University College, Malaysia
axudingding1980@163.com
Keywords: Ultrahigh Pumping; C80 HS & HP Concrete; Pumpability
Abstract: The concrete technology has seen great improvement with the construction of large numbers of ultrahigh buildings at a height of more than 400 meters worldwide.
Introduction With the rapid development of Chinese economy, a large number of high and ultra-high landmark buildings have sprung up in various parts of our country.
In order to preferably tackle the problem of pumpability, the design of mix proportion in relation to the C80 concrete utilized in this project, apart from the consideration of conventional parameters as the rational adoption of total amount of binding materials and sand coarse aggregate ratio, has attached more attention on the following control measures. 2.2.1 The control of grain composition of admixture The slag powder and silica fume are selected and used as the admixture in accordance with the features and supply of local materials.
Therefore, the Zoomlion selects and uses a kind of pipeline with a diameter of 125mm. 4.4 The arrangement of pumping pipeline The arrangement of pipeline shall be in accordance with the pouring scheme of concrete, and the length of pipeline should be shortened, with less number of elbow pipe and flexible pipe used.
Introduction With the rapid development of Chinese economy, a large number of high and ultra-high landmark buildings have sprung up in various parts of our country.
In order to preferably tackle the problem of pumpability, the design of mix proportion in relation to the C80 concrete utilized in this project, apart from the consideration of conventional parameters as the rational adoption of total amount of binding materials and sand coarse aggregate ratio, has attached more attention on the following control measures. 2.2.1 The control of grain composition of admixture The slag powder and silica fume are selected and used as the admixture in accordance with the features and supply of local materials.
Therefore, the Zoomlion selects and uses a kind of pipeline with a diameter of 125mm. 4.4 The arrangement of pumping pipeline The arrangement of pipeline shall be in accordance with the pouring scheme of concrete, and the length of pipeline should be shortened, with less number of elbow pipe and flexible pipe used.
Online since: January 2013
Authors: Rui Hu, Hong Chao Kou, Jin Shan Li, Xiao Hua Wang, Lian Zhou
A reduction in the number and severity of this bioactive deposition was observed with the decrease in relative density of porous titanium because of the increasing surface area.
Close examination revealed that there was grain pullout due to corrosion in several places on the sample after the alkali of 5M NaOH immersion and heat treatment.
A reduction in the number and severity of damaged regions were observed with the decrease in relative density of porous titanium, as shown both in the interior of cells (Fig. 2 (i)~ Fig. 2(l))and on the surface of cells (Fig. 2 (m)~ Fig. 2(p)).
A reduction in the number and severity of damaged regions were observed with the decrease in the relative density both in the interior of cells and on the surface of cells of the porous titanium.
Close examination revealed that there was grain pullout due to corrosion in several places on the sample after the alkali of 5M NaOH immersion and heat treatment.
A reduction in the number and severity of damaged regions were observed with the decrease in relative density of porous titanium, as shown both in the interior of cells (Fig. 2 (i)~ Fig. 2(l))and on the surface of cells (Fig. 2 (m)~ Fig. 2(p)).
A reduction in the number and severity of damaged regions were observed with the decrease in the relative density both in the interior of cells and on the surface of cells of the porous titanium.
Online since: October 2014
Authors: Lin Xu
Concrete has a high performance corrosion resistance, with the choice of the thickness of the active alkali aggregate,grain shape structured,well-graded,small porosity.
Owing to the lack of understanding of the durability of concrete, did not take the necessary precautions and the use of corrosion-resistant concrete, so there is a considerable number of projects after completion ,soon appeared along the ribs cracked concrete structures, steel corrosion, protective layer off, reducing the structure of life, causing serious consequences need of major repairs or demolition and reconstruction(Fig1).
Owing to the lack of understanding of the durability of concrete, did not take the necessary precautions and the use of corrosion-resistant concrete, so there is a considerable number of projects after completion ,soon appeared along the ribs cracked concrete structures, steel corrosion, protective layer off, reducing the structure of life, causing serious consequences need of major repairs or demolition and reconstruction(Fig1).
Online since: June 2010
Authors: Dan Ma, Zhan Qing Chen, Xian Lei Shan
Control code is mainly for controlling the number of hidden
nodes and the string length 1l are determined by 0.5-1.5 times of the number of input nodes, while the
weight coefficient code is mainly the connection weight of the controlled network.
String length 2 1 1 1 l m l l l n n = × + + × + (m: the number of input nodes; n: the number of output nodes).
Step.3 Randomly generate a group, consisting L individuals, each individual consists of two parts, the first part is 0-1 string, whose length is 1l , and the other is a uniform distribution at a range of min 1 max 2 [ , ] u uδ δ − − , consisting 2l random numbers.
Step.7 According to the individual decoding with highest degree of fitness in the K generation, the corresponding network connection weight and the number of hidden nodes can be arrived, then, testing the generalization of the model by inputting the detection samples
Murty: Prediction of grain size of Al-7Si Alloy by neural networks.
String length 2 1 1 1 l m l l l n n = × + + × + (m: the number of input nodes; n: the number of output nodes).
Step.3 Randomly generate a group, consisting L individuals, each individual consists of two parts, the first part is 0-1 string, whose length is 1l , and the other is a uniform distribution at a range of min 1 max 2 [ , ] u uδ δ − − , consisting 2l random numbers.
Step.7 According to the individual decoding with highest degree of fitness in the K generation, the corresponding network connection weight and the number of hidden nodes can be arrived, then, testing the generalization of the model by inputting the detection samples
Murty: Prediction of grain size of Al-7Si Alloy by neural networks.
Online since: October 2024
Authors: Sanggono Adisasmito, Lidya Risang Ayu, Lienda Aliwarga
Grain moisture content, operating pressure, pressing temperature, and pressing time are factors that affect oil recovery from the pressing process [22]–[28].
2.
Then the saponification number obtained by Gharsallah et al., (2021) is different from the saponification number in this study, which is 168.3 mg KOH/g oil.
The difference in the saponification number is due to several factors such as different hydrolysis process times, the effect of using different hydrolysis temperatures, and oil storage which also affect the saponification number of Moringa seed oil [16], [21], [35]. 3.4.3 Acid value of Moringa oil The acid value obtained in this study showed results that tended to increase with the addition of the pressing temperature, both with a moisture content of 8% Moringa seeds and a moisture content of 16% Moringa seeds.
The same results were also shown at pressing temperatures of 80oC, 100oC and 120oC with a moisture content of 16% Moringa seeds which produced an acid number which tended to increase when the pressing temperature was increased.
However, the acid number obtained in this study is still included in the standard acid number for edible oil according to FAO/WHO, namely the standard acid number of 2.89 ± 0.01 mg KOH/g oil [34]. 3.4.4 Peroxide value of Moringa oil The peroxide value of the oil represents the amount of peroxide found in the structure of a sample and which has the ability to liberate iodine I2 in an oxidative process by potassium iodide KI [36].
Then the saponification number obtained by Gharsallah et al., (2021) is different from the saponification number in this study, which is 168.3 mg KOH/g oil.
The difference in the saponification number is due to several factors such as different hydrolysis process times, the effect of using different hydrolysis temperatures, and oil storage which also affect the saponification number of Moringa seed oil [16], [21], [35]. 3.4.3 Acid value of Moringa oil The acid value obtained in this study showed results that tended to increase with the addition of the pressing temperature, both with a moisture content of 8% Moringa seeds and a moisture content of 16% Moringa seeds.
The same results were also shown at pressing temperatures of 80oC, 100oC and 120oC with a moisture content of 16% Moringa seeds which produced an acid number which tended to increase when the pressing temperature was increased.
However, the acid number obtained in this study is still included in the standard acid number for edible oil according to FAO/WHO, namely the standard acid number of 2.89 ± 0.01 mg KOH/g oil [34]. 3.4.4 Peroxide value of Moringa oil The peroxide value of the oil represents the amount of peroxide found in the structure of a sample and which has the ability to liberate iodine I2 in an oxidative process by potassium iodide KI [36].