Retraction: Numerical study for single and multiple damage detection and localization in beam-like structures using BAT algorithm

AbstractElectromagnetic waves in the microwave and millimeter-wave frequency range are used in non-destructive testing and structural health monitoring applications to detect material defects such as delaminations, cracks, or inclusions. This work presents a sensing concept based on guided electromagnetic waves (GEW), in which the waveguide forms a union with the structure to be inspected. Exploiting ultra-wideband signals a surface defect in the area under the waveguide can be detected and accurately localized. This paper presents numerical and experimental GEW results for a straight waveguide focusing on the detection of through holes and cracks with different orientation. It was found that the numerical model qualitatively replicates the experimental S-parameter measurements for holes of different diameters. A parametric numerical study indicates that the crack parameters such as its orientation and width has a significant influence on the interaction of the incident wave with the structural defect. On top, a numerical study is performed for complex-shaped rectangular waveguides including several waveguide bends. Besides a successful damage detection, the damage position can also be precisely determined with a maximum localization error of less than 3%.

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Development of a Novel Damage Detection Framework for Truss Railway Bridges Using Operational Acceleration and Strain Response

Vibration ◽

10.3390/vibration4020028 ◽

2021 ◽

Vol 4 (2) ◽

pp. 422-445

Author(s):

Md Riasat Azim ◽

Mustafa Gül

Keyword(s):

Damage Detection ◽

Damage Identification ◽

Numerical Study ◽

Damage Index ◽

Strain Analysis ◽

Time History ◽

Principal Component ◽

Element Model ◽

Railway Bridges ◽

Truss Bridge

Railway bridges are an integral part of any railway communication network. As more and more railway bridges are showing signs of deterioration due to various natural and artificial causes, it is becoming increasingly imperative to develop effective health monitoring strategies specifically tailored to railway bridges. This paper presents a new damage detection framework for element level damage identification, for railway truss bridges, that combines the analysis of acceleration and strain responses. For this research, operational acceleration and strain time-history responses are obtained in response to the passage of trains. The acceleration response is analyzed through a sensor-clustering-based time-series analysis method and damage features are investigated in terms of structural nodes from the truss bridge. The strain data is analyzed through principal component analysis and provides information on damage from instrumented truss elements. A new damage index is developed by formulating a strategy to combine the damage features obtained individually from both acceleration and strain analysis. The proposed method is validated through a numerical study by utilizing a finite element model of a railway truss bridge. It is shown that while both methods individually can provide information on damage location, and severity, the new framework helps to provide substantially improved damage localization and can overcome the limitations of individual analysis.

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Structural Damage Detection and Localization with Unknown Postdamage Feature Distribution Using Sequential Change-Point Detection Method

Journal of Aerospace Engineering ◽

10.1061/(asce)as.1943-5525.0000979 ◽

2019 ◽

Vol 32 (2) ◽

pp. 04018149 ◽

Cited By ~ 2

Author(s):

Yizheng Liao ◽

Anne S. Kiremidjian ◽

Ram Rajagopal ◽

Chin-Hsuing Loh

Keyword(s):

Damage Detection ◽

Change Point ◽

Structural Damage ◽

Detection Method ◽

Change Point Detection ◽

Structural Damage Detection ◽

Sequential Change ◽

Point Detection ◽

Detection And Localization

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Vibration Based Damage Detection of Rotating Beams

MATEC Web of Conferences ◽

10.1051/matecconf/201814814008 ◽

2018 ◽

Vol 148 ◽

pp. 14008 ◽

Cited By ~ 1

Author(s):

Stanislav Stoykov ◽

Emil Manoach ◽

Maosen Cao

Keyword(s):

Damage Detection ◽

Selection Criteria ◽

Excitation Frequency ◽

Real Life ◽

Equation Of Motion ◽

Damage Localization ◽

Rotating Beam ◽

Free Boundary Conditions ◽

Wide Range ◽

Detection And Localization

The early detection and localization of damages is essential for operation, maintenance and cost of the structures. Because the frequency of vibration cannot be controlled in real-life structures, the methods for damage detection should work for wide range of frequencies. In the current work, the equation of motion of rotating beam is derived and presented and the damage is modelled by reduced thickness. Vibration based methods which use Poincaré maps are implemented for damage localization. It is shown that for clamped-free boundary conditions these methods are not always reliable and their success depends on the excitation frequency. The shapes of vibration of damaged and undamaged beams are shown and it is concluded that appropriate selection criteria should be defined for successful detection and localization of damages.

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Nonparametric damage detection and localization model of framed civil structure based on local gravitation clustering analysis

Journal of Building Engineering ◽

10.1016/j.jobe.2021.103339 ◽

2021 ◽

pp. 103339

Author(s):

Smita Kaloni ◽

Ghanapriya Singh ◽

Prashant Tiwari

Keyword(s):

Damage Detection ◽

Clustering Analysis ◽

Localization Model ◽

Detection And Localization

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Damage Detection in Rods Using Wave Propagation and Regression Analysis

Volume 7A: 17th Biennial Conference on Mechanical Vibration and Noise ◽

10.1115/detc99/vib-8372 ◽

1999 ◽

Author(s):

K. T. Feroz ◽

S. O. Oyadiji

Keyword(s):

Wave Propagation ◽

Regression Analysis ◽

Damage Detection ◽

Numerical Study ◽

Time History ◽

Ball Impact ◽

Spherical Ball ◽

Time Histories ◽

Measured Strain ◽

Force Time

Abstract The phenomena of wave propagation in rods was studied both numerically and experimentally. The finite element (FE) code ABAQUS was used for the numerical study while PZT (lead zirconium titanate) sensors and a 50 MHz transient recorder were used experimentally to monitor and to capture the propagation of stress pulses. For the study of damage detection in the rods the analyses and the experiments were repeated by introducing slots in a fixed axial location of the rod. A longitudinal wave was induced in the rod via collinear impact which was modelled in the FE analyses using the force-time history computed from the classical Hertz contact theory. In the experimental measurements this was achieved by a spherical ball impact at one plane end of the rods. It is shown that the predicted and measured strain-time histories for the defect-free rod and for the rods with defect correlate quite well. These results also show that defects can be located using the wave propagation phenomena. A regression analysis technique of the predicted and measured strain histories of the defect free rod and of the rod with defect was also performed. The results show that this technique is more efficient for smaller defects. In particular, it is shown that the area enclosed by the regression curve increases as the defect size increases.

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