scholarly journals IDENTIFICATION OF SWAY ROCKING SPRINGS AND PILE DAMAGE DETECTION USING SUBSPACE METHOD

2022 ◽  
Vol 87 (791) ◽  
pp. 60-71
Author(s):  
Takaki TOJO ◽  
Shoichi NAKAI
Keyword(s):  
Damage Detection ◽  
Subspace Method

An automated hypersphere-based healthy subspace method for robust and unsupervised damage detection via random vibration response signals

2021 ◽  
pp. 147592172110044
Author(s):  
Vamvoudakis-Stefanou Kyriakos ◽  
Fassois Spilios ◽  
Sakellariou John
Keyword(s):  
Damage Detection ◽  
High Performance ◽  
Random Vibration ◽  
Feature Space ◽  
Vibration Response ◽  
Alternative Methods ◽  
Detection Methods ◽  
Subspace Method ◽  
Uncertainty Sources ◽  
Automated Algorithm

A novel, unsupervised, hypersphere-based healthy subspace method for robust damage detection under non-quantifiable uncertainty via a limited number of random vibration response sensors is postulated. The method is based on the approximate construction, within a proper feature space, of a healthy subspace representing the healthy structural dynamics under uncertainty as the union of properly selected hyperspheres. This is achieved via a fully automated algorithm eliminating user intervention, and thus subjective selections, or complex optimization procedures. The main asset of the proposed method lies in combining simplicity and full automation with high performance. Its performance is systematically assessed via two experimental case studies featuring various uncertainty sources and distinct healthy subspace geometries, while interesting comparisons with three well-known robust damage detection methods are also performed. The results indicate excellent detection performance, which also compares favorably to that of alternative methods.

Error vector choice in direct inversion in the iterative subspace method

10.1002/jcc.4 ◽  
1996 ◽  
Vol 17 (16) ◽  
pp. 1836-1847 ◽  
Author(s):  
Irina V. Ionova ◽  
Emily A. Carter
Keyword(s):  
Subspace Method ◽  
Error Vector ◽  
Direct Inversion

Antioptimization for comparison of alternative structural models and damage detection

AIAA Journal ◽  
1999 ◽  
Vol 37 ◽  
pp. 857-864
Author(s):  
S. N. Gangadharan ◽  
E. Nikolaidis ◽  
K. Lee ◽  
R. T. Haftka ◽  
R. Burdisso
Keyword(s):  
Damage Detection ◽  
Structural Models

Eigenstructure assignment technique for damage detection in rotating structures

AIAA Journal ◽  
1998 ◽  
Vol 36 ◽  
pp. 1680-1685
Author(s):  
Jason Kiddy ◽  
Darryll Pines
Keyword(s):  
Damage Detection ◽  
Eigenstructure Assignment

Damage detection of a damped structure with neural networks

1996 ◽  
Author(s):  
Kevin Napolitano ◽  
John Kosmatka
Keyword(s):  
Neural Networks ◽  
Damage Detection

Damage detection using expanded dynamic residuals

1998 ◽  
Author(s):  
David Zimmerman ◽  
Hyoung Kim ◽  
Theodore Bartkowicz ◽  
Mohamed Kaouk
Keyword(s):  
Damage Detection ◽  
Dynamic Residuals
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