Dynamic Coupling Characteristics of Slender Suspension Footbridges with Wind-Resistant Ropes

Author(s):  
Y. B. Yang ◽  
J. D. Yau
2011 ◽  
Vol 411 ◽  
pp. 437-441
Author(s):  
Wei Dong Wang ◽  
Xiang Ji ◽  
Xiang Yu Niu

It has been proved by large number of experiments that gas film damping has great influence on MEMS structures. Based on the elastic and material mechanics, this paper built a linear-vibration model for the electrostatic actuated micro-beam. According to the rarefied gas dynamics theory, a kind of modified Reynolds equation is adopted in the system modeling. In view of the study on small deflection of micro-beam has been investigated already by many researchers, this paper focus the research on large beam deflections, i.e. the mid-point deflection can be compared with the thickness of the gas film. The dynamic characteristics of micro-beam are investigated through coupling the dynamic vibration equation with the modified Reynolds equation. Through the finite difference method, the discrete form of the coupled dynamic equations has been obtained.


Kerntechnik ◽  
2020 ◽  
Vol 85 (4) ◽  
pp. 265-273 ◽  
Author(s):  
V. I. Romanenko ◽  
V. G. Zimin ◽  
S. P. Nikonov ◽  
G. V. Tikhomirov ◽  
Y. Perin ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1036 ◽  
Author(s):  
Xinying Xu ◽  
Qi Chen ◽  
Mifeng Ren ◽  
Lan Cheng ◽  
Jun Xie

Increasing the combustion efficiency of power plant boilers and reducing pollutant emissions are important for energy conservation and environmental protection. The power plant boiler combustion process is a complex multi-input/multi-output system, with a high degree of nonlinearity and strong coupling characteristics. It is necessary to optimize the boiler combustion model by means of artificial intelligence methods. However, the traditional intelligent algorithms cannot deal effectively with the massive and high dimensional power station data. In this paper, a distributed combustion optimization method for boilers is proposed. The MapReduce programming framework is used to parallelize the proposed algorithm model and improve its ability to deal with big data. An improved distributed extreme learning machine is used to establish the combustion system model aiming at boiler combustion efficiency and NOx emission. The distributed particle swarm optimization algorithm based on MapReduce is used to optimize the input parameters of boiler combustion model, and weighted coefficient method is used to solve the multi-objective optimization problem (boiler combustion efficiency and NOx emissions). According to the experimental analysis, the results show that the method can optimize the boiler combustion efficiency and NOx emissions by combining different weight coefficients as needed.


2021 ◽  
Vol 184 ◽  
pp. 372-379
Author(s):  
Darko Frtunik ◽  
Amolika Sinha ◽  
Hanna Grzybowska ◽  
Navreet Virdi ◽  
S. Travis Waller ◽  
...  

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