Study on the Wind-Sand Flow Movement Characteristics and the Shielding Effect of the Wind-Break Wall along the Railway in Gobi Area

2012 ◽  
Vol 178-181 ◽  
pp. 1653-1657 ◽  
Author(s):  
Jian Jun Cheng

Based on the large number of field surveys and long-term monitoring data of Hongceng, Hongliu and MengliuDong monitoring points, the wind-sand flow movement characteristics along the railway in Gobi area was analyzed. The shielding effect of the wind-break wall was evaluated by the methods of numerical simulation and field test. Conclusions drawn as followings: the wind-sand flow movement in Gobi area is characterized by stable of direction, seasonal, high-velocity,long-term,and shorting of starting-up time and moresand content. Numerical simulation shows that the wind flow form a large vortex region on the leeward side of wall, the flow field elements occurs significant changes. Both field test data and numerical simulations indicated that 3.0m height of wind-break wall meet the requirement of shielding wind-sand flow.

2014 ◽  
Vol 183 ◽  
pp. 159-169 ◽  
Author(s):  
Yang Yu ◽  
Enzhi Wang ◽  
Jianwen Zhong ◽  
Xiaoli Liu ◽  
Penghui Li ◽  
...  

2020 ◽  
pp. 147592172093137
Author(s):  
Jun Teng ◽  
De-Hui Tang ◽  
Wei-Hua Hu ◽  
Wei Lu ◽  
Zhi-Wen Feng ◽  
...  

In this study, the mechanism of the effect of temperature on structural frequency is investigated by integrating correlation analysis, numerical simulation, and neural network techniques. First, the different spatial–temporal influence patterns of the temperature field on frequency are observed using correlation analysis based on the long-term monitoring of an arch bridge. Subsequently, a numerical simulation is performed to quantitatively analyze the effect of temperature on frequency in terms of internal force, geometric size, elastic modulus, and boundary condition. It is observed that an unknown factor—except for the elastic modulus—leads to variation in the frequency of the beam mode. The spatial effect of the temperature field is separated by a genetic-algorithm-optimized backpropagation neural network. It is inferred that the frequency of the beam mode is influenced in terms of the boundary condition and the elastic modulus because of temperature, whereas the frequency of the arch mode is only influenced by the changing elastic modulus.


Author(s):  
Barbara S. Minsker ◽  
Charles Davis ◽  
David Dougherty ◽  
Gus Williams

Author(s):  
Robert Klinck ◽  
Ben Bradshaw ◽  
Ruby Sandy ◽  
Silas Nabinacaboo ◽  
Mannie Mameanskum ◽  
...  

The Naskapi Nation of Kawawachikamach is an Aboriginal community located in northern Quebec near the Labrador Border. Given the region’s rich iron deposits, the Naskapi Nation has considerable experience with major mineral development, first in the 1950s to the 1980s, and again in the past decade as companies implement plans for further extraction. This has raised concerns regarding a range of environmental and socio-economic impacts that may be caused by renewed development. These concerns have led to an interest among the Naskapi to develop a means to track community well-being over time using indicators of their own design. Exemplifying community-engaged research, this paper describes the beginning development of such a tool in fall 2012—the creation of a baseline of community well-being against which mining-induced change can be identified. Its development owes much to the remarkable and sustained contribution of many key members of the Naskapi Nation. If on-going surveying is completed based on the chosen indicators, the Nation will be better positioned to recognize shifts in its well-being and to communicate these shifts to its partners. In addition, long-term monitoring will allow the Naskapi Nation to contribute to more universal understanding of the impacts of mining for Indigenous peoples.


Kerntechnik ◽  
2018 ◽  
Vol 83 (6) ◽  
pp. 513-522 ◽  
Author(s):  
U. Hampel ◽  
A. Kratzsch ◽  
R. Rachamin ◽  
M. Wagner ◽  
S. Schmidt ◽  
...  

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