Damage detection and localization in composite beam structures based on vibration analysis

Khatir, Samir; Belaidi, Idir; Serra, Roger; Wahab, Magd Abdel; Khatir, Tawfiq

doi:10.5755/j01.mech.21.6.12526

Cited by 42 publications

(39 citation statements)

References 29 publications

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“…The results provided the basis for the development of diagnostics algorithms. Khatir et al [20,21] have used MAC, COMAC and LFCER for detecting and locating damage in beam-like structures using vibration analysis. Amrane and Sidoroff [22] dealt with the evaluation of the residual modal energy in glass/epoxy unidirectional fibrous composite beam at a desired state using vibration analysis, while Khatir et al [23] worked on the damage detection and localization based on vibration analysis using Bat algorithm on thin plates using vibration analysis.…”

Section: Introductionmentioning

confidence: 99%

Multiple damage detection and localization in beam-like and complex structures using co-ordinate modal assurance criterion combined with firefly and genetic algorithms

Wahab¹,

Khatir²,

Tehami³

et al. 2016

J. vibroeng.

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Abstract. Damage detection and localization in civil engineering constructions using dynamic analysis has become an important topic in recent years. This paper presents a methodology based on non-destructive detection, localization and quantification of multiple damages in simple and continuous beams, and a more complex structure, namely two-dimensional frame structure. The proposed methodology makes used of Firefly Algorithm and Genetic Algorithm as optimization tools and the Coordinate Modal Assurance Criterion as an objective function. The results show that the proposed combination of Coordinate Modal Assurance Criterion and Firefly Algorithm or Genetic Algorithm can be easily used to identify multiple local structural damages in complex structures. However, the convergence rate becomes slower for the case of multiple damages compared to the case of single damage. The effect of noise on the algorithm is further investigated. It is found that the proposed technique is able to detect the damage location and its severity with high accuracy in the presence of noise, although the convergence rate became slower than in the case when no noise is present. It is also found that the convergence rate of Firefly Algorithm is much faster than that of Genetic Algorithm.

show abstract

Section: Introductionmentioning

confidence: 99%

Multiple damage detection and localization in beam-like and complex structures using co-ordinate modal assurance criterion combined with firefly and genetic algorithms

Wahab¹,

Khatir²,

Tehami³

et al. 2016

J. vibroeng.

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Republished Paper. Multiple damage detection and localization in beam-like and complex structures using co-ordinate modal assurance criterion combined with firefly and genetic algorithms

Khatir¹,

Tehami²,

Khatir³

et al. 2018

J. vibroeng.

Self Cite

View full text Add to dashboard Cite

Damage detection and localization in civil engineering constructions using dynamic analysis has become an important topic in recent years. This paper presents a methodology based on non-destructive detection, localization and quantification of multiple damages in simple and continuous beams, and a more complex structure, namely two-dimensional frame structure. The proposed methodology makes used of Firefly Algorithm and Genetic Algorithm as optimization tools and the Coordinate Modal Assurance Criterion as an objective function. The results show that the proposed combination of Coordinate Modal Assurance Criterion and Firefly Algorithm or Genetic Algorithm can be easily used to identify multiple local structural damages in complex structures. However, the convergence rate becomes slower for the case of multiple damages compared to the case of single damage. The effect of noise on the algorithm is further investigated. It is found that the proposed technique is able to detect the damage location and its severity with high accuracy in the presence of noise, although the convergence rate became slower than in the case when no noise is present. It is also found that the convergence rate of Firefly Algorithm is much faster than that of Genetic Algorithm.

show abstract

“…Damage detection using vibration signals and the corresponding structural health monitoring techniques are the important topic in scientific world [1][2][3][4][5][6][7]. Rolling element bearings are the two key components in mechanical systems.…”

Section: Introductionmentioning

confidence: 99%

A new fault detection strategy using the enhancement ensemble empirical mode decomposition

Xiang

Zhong

2017

J. Phys.: Conf. Ser.

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Damage detection and localization in composite beam structures based on vibration analysis

Cited by 42 publications

References 29 publications

Multiple damage detection and localization in beam-like and complex structures using co-ordinate modal assurance criterion combined with firefly and genetic algorithms

Multiple damage detection and localization in beam-like and complex structures using co-ordinate modal assurance criterion combined with firefly and genetic algorithms

Republished Paper. Multiple damage detection and localization in beam-like and complex structures using co-ordinate modal assurance criterion combined with firefly and genetic algorithms

A new fault detection strategy using the enhancement ensemble empirical mode decomposition

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