Coalescence-induced jumping of droplets on superhydrophobic substrates with a beam structure

2022 ◽  
pp. 152284
Author(s):  
Zhiyuan Yu ◽  
Kaixuan Zhang ◽  
Jiayi Zhao ◽  
Shuo Chen ◽  
Chensen Lin ◽  
...  
Keyword(s):  
2019 ◽  
Vol 13 (3) ◽  
pp. 148
Author(s):  
Rickey Pek Eek Ting ◽  
Intan Zaurah Mat Darus ◽  
Shafishuhaza Sahlan ◽  
Mat Hussin Ab Talib
Keyword(s):  

2021 ◽  
pp. 147592172199847
Author(s):  
William Soo Lon Wah ◽  
Yining Xia

Damage detection methods developed in the literature are affected by the presence of outlier measurements. These measurements can prevent small levels of damage to be detected. Therefore, a method to eliminate the effects of outlier measurements is proposed in this article. The method uses the difference in fits to examine how deleting an observation affects the predicted value of a model. This allows the observations that have a large influence on the model created, to be identified. These observations are the outlier measurements and they are eliminated from the database before the application of damage detection methods. Eliminating the outliers before the application of damage detection methods allows the normal procedures to detect damage, to be implemented. A multiple-regression-based damage detection method, which uses the natural frequencies as both the independent and dependent variables, is also developed in this article. A beam structure model and an experimental wooden bridge structure are analysed using the multiple-regression-based damage detection method with and without the application of the method proposed to eliminate the effects of outliers. The results obtained demonstrate that smaller levels of damage can be detected when the effects of outlier measurements are eliminated using the method proposed in this article.


2021 ◽  
Vol 236 ◽  
pp. 112055
Author(s):  
Jinchao Zhu ◽  
Mansoor Khurshid ◽  
Imad Barsoum ◽  
Zuheir Barsoum
Keyword(s):  

2011 ◽  
Vol 255-260 ◽  
pp. 654-658
Author(s):  
Ji Ping Ge

The changing ratio of modal curvature is proposed for damage recognition, and its ability of damage localization and damage quantitative has been studied in this paper. For testing the effect of damage recognition, two research parameters, the different section rigidity and the scope of damages, are included. And changing rules of the index with structure rigidity, constraints, and structure supporting system have been studied at the same time. The numerical analysis results indicated: The relation of linear increase exists between the changing ratio of modal curvature and the extent of damage, the changing slope of the index is bigger with the increase of damage extent; The boundary condition and the structure supporting system will affect the value of index; In the view of one special structure, case study should be carried to establish the relationship between value of index and the extent of damage.


2004 ◽  
Vol 273 (1-2) ◽  
pp. 185-199 ◽  
Author(s):  
W.J. Jung ◽  
W.B. Jeong ◽  
S.R. Hong ◽  
S.-B. Choi

2013 ◽  
Vol 771 ◽  
pp. 159-162
Author(s):  
Li Feng Qi ◽  
Zhi Min Liu ◽  
Xing Ye Xu ◽  
Guan Zhong Chen ◽  
Xue Qing

The relative research of low range and high anti-overload piezoresistive pressure sensor is carried out in this paper and a new kind of sensor chip structure, the double ends-four beam structure, is proposed. Trough the analysis, the sensor chip structure designed in this paper has high sensitivity and linearity. The chip structure is specially suit for the micro-pressure sensor. The theoretical analysis and finite element analysis is taken in this paper, which provide important scientific basis for the pressure sensor development.


Author(s):  
J. M. Zhu ◽  
L. Huang

Abstract The furnace walls of the large boilers in power plants are combined structures consisting of orthotopic plate and equally spaced beams, which are usually submitted to random vibration under the excitation of the pressure fluctuation induced by combustion in the furnace. In this paper, a numerical method based on BEM to compute the random response of the structure is offered. The agreement between the computing results and the measured data in a practical example verifies the effectiveness of the method.


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