scholarly journals Application of Genetic Fuzzy System for Damage Identification in Cantilever Beam Structure

2016 ◽  
Vol 144 ◽  
pp. 215-225 ◽  
Author(s):  
Deepak K. Agarwalla ◽  
Abdul Sadik Khan ◽  
Subham Kumar Sahoo
2012 ◽  
Vol 226-228 ◽  
pp. 44-47 ◽  
Author(s):  
Jiang Yi Chen ◽  
Li Ge Fan ◽  
Dong Chen Qin

In this paper, we derive the universal expression of the modal parameters for a damaged beam under arbitrary boundary conditions. The delta function is first employed to describe a notch damage in the beam and consequently to derive the governing equation for the damaged beam. Second, by virtue of the perturbation method, the eigenvalues and the corresponding mode shapes are obtained for the damaged beam. Finally, numerical examples are given for an elastically supported beam. It is believed that the proposed approach could provide the necessary theoretical background for damage identification in beam structures.


2020 ◽  
Vol 10 (7) ◽  
pp. 2312
Author(s):  
Jilin Hou ◽  
Haiyan Wang ◽  
Dengzheng Xu ◽  
Łukasz Jankowski ◽  
Pengfei Wang

Damage identification for liquid–solid coupling structures remains a challenging topic due to the influence of liquid and the limitation of experimental conditions. Therefore, the adding mass method for damage identification is employed in this study. Adding mass to structures is an effective method for damage identification, as it can increase not only the experimental data but also the sensitivity of experimental modes to local damage. First, the fundamental theory of the adding mass method for damage identification is introduced. After that, the method of equating the liquid to the attached mass is proposed by considering the liquid–solid coupling. Finally, the effectiveness and reliability of damage identification, based on adding mass for liquid–solid coupling structures, are verified through experiments of a submerged cantilever beam and liquid storage tank.


2014 ◽  
Vol 3 (4) ◽  
pp. 108
Author(s):  
J Tang ◽  
M Sheykhzade ◽  
BF Clausen ◽  
HCM Boonen

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