Application of Kalman Filter based Neutral Axis tracking for damage detection in composites structures

2018 ◽  
Vol 184 ◽  
pp. 66-77 ◽  
Author(s):  
Rohan Soman ◽  
Katarzyna Majewska ◽  
Magdalena Mieloszyk ◽  
Pawel Malinowski ◽  
Wieslaw Ostachowicz
Keyword(s):  
Kalman Filter ◽  
Damage Detection ◽  
Neutral Axis

Application of Kalman filter based neutral axis tracking for crack length quantification in beam structures

2019 ◽  
Author(s):  
Rohan N. Soman ◽  
Martin Schagerl ◽  
Christoph Kralovec ◽  
Kai U. Schröder ◽  
Andreas Preisler ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Crack Length ◽  
Neutral Axis ◽  
Beam Structures

Damage Detection using Neutral Axis and Prestressing Force Distribution

2015 ◽  
Vol 105 (20) ◽  
pp. 1-8
Author(s):  
Hiba Abdel-Jaber ◽  
Dorotea Sigurdardottir ◽  
Branko Glisic
Keyword(s):  
Damage Detection ◽  
Neutral Axis ◽  
Force Distribution ◽  
Prestressing Force

Kalman Filter Based Data Fusion for Bi-Axial Neutral Axis Tracking in Wind Turbine Towers

2015 ◽  
Author(s):  
ROHAN SOMAN ◽  
PAWEL MALINOWSKI ◽  
UWE PAULSEN ◽  
WIESLAW OSTACHOWICZ
Keyword(s):  
Kalman Filter ◽  
Data Fusion ◽  
Wind Turbine ◽  
Neutral Axis ◽  
Wind Turbine Towers

Damage detection in steel structures with semi-rigid connections using unscented Kalman filter

2017 ◽  
Vol 8 (2) ◽  
pp. 222-239
Author(s):  
Hasan Katkhuda ◽  
Nasim Shatarat ◽  
Khaled Hyari
Keyword(s):  
Kalman Filter ◽  
Damage Detection ◽  
Unscented Kalman Filter ◽  
Steel Structures ◽  
Least Square ◽  
Dynamic Responses ◽  
Optimum Number ◽  
Dynamic Force ◽  
Monitoring Method ◽  
Content Type

Purpose The purpose of this paper is to detect damages in steel structures with actual connections, i.e. semi-rigid connections. The method will detect the damages by tracking the changes in the stiffness of structural members using only a limited number of dynamic responses and without knowing the type or time history of the dynamic force applied on the structure. Design/methodology/approach The paper proposes a technique that combines the iterative least-square and unscented Kalman filter (UKF) methods to identify the stiffness of beams and columns in typical two-dimensional steel-framed structures with semi-rigid connections. The detection of damages is by using nonlinear time-domain structural health monitoring method. Findings The technique is verified by using numerical examples using noise-free and noise-included dynamic responses from two different types of dynamic forces: harmonic and blast loads. The results showed that the UKF method with iterative least-square is a powerful approach to identify and detect damages in structures that have nonlinear behavior and the method was able to detect the damages in beams with a very high accuracy for noise-free and noise-included dynamic responses. In addition, the optimum number and locations of dynamic responses (accelerometer sensors) required for damage detection were determined. Originality/value This paper fulfills an identified need to detect damages in steel structures using only a limited number of accelerometer sensors.

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