Structural damage identification using co-evolution and frequency response functions

Kouchmeshky, Babak; Aquino, Wilkins; Billek, Adam E.

doi:10.1002/stc.211

Cited by 11 publications

(13 citation statements)

References 13 publications

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“…Therefore, we used a type of representation with multiple chromosomes, which allows the number of damaged elements in an individual to change throughout the evolutionary process. An individual with three chromosomes was proposed by following the ideas presented above in [8,14]. The first chromosome is a real-type one and represents the damage extent, which can range between 0 and 1.…”

Section: Damage Detection Methodologymentioning

confidence: 99%

“…The above characteristic is important in the solution to the damage detection problem, as the number and localisation of the damaged elements are not known a priori. Kouchmeshky et al [8] detected damage in an iterative process by applying two phases: estimation and exploration. In the first phase, they used an objective function that was based on frequency response functions and represented a possible solution by using one chromosome to define the location of the damage and another to determine the damage extent.…”

Section: Introductionmentioning

confidence: 99%

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Localising and quantifying damage by means of a multi-chromosome genetic algorithm

Villalba¹,

Laier²

2012

Advances in Engineering Software

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Section: Damage Detection Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Localising and quantifying damage by means of a multi-chromosome genetic algorithm

Villalba¹,

Laier²

2012

Advances in Engineering Software

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“…Kouchmeshky et al . proposed an algorithm on the basis of estimation–exploration and a biological process called co‐evolution for damage identification. The classical review of nonlinear damage identification is studied by Worden et al .…”

Section: Previous Investigations On Damage Assessmentmentioning

confidence: 99%

Damage identification of beam-like structures with contiguous and distributed damage

Raghuprasad

Lakshmanan

Gopalakrishnan

et al. 2012

Struct. Control Health Monit.

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Structural health monitoring of existing infrastructure is currently an active field of research, where elaborate experimental programs and advanced analytical methods are used in identifying the current state of health of critical structures. Change of static deflection as the indicator of damage is the simplest tool in a structural health monitoring scenario of bridges that is least exploited in damage identification strategies. In this paper, some simple and elegant equations based on loss of symmetry due to damage are derived and presented for identification of damage in a bridge girder modeled as a simply supported beam using changes in static deflections and dynamic parameters. A single contiguous and distributed damage, typical of reinforced or prestressed concrete structures, is assumed for the structure. The methodology is extended for a base-line-free as well as base-line-inclusive measurement. Measurement strategy involves application of loads only at two symmetric points one at a time and deflection measurements at those symmetric points as well as at the midspan of the beam. A laboratory-based experiment is used to validate the approach.

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“…Methods have also been developed that use numerical sensitivities and numerical optimization techniques as seen in Kouchmeshky et al . , which, while solving the problem numerically, still requires access to elemental stiffness matrices. It is noted by Kouchmeshky et al .…”

Section: Introductionmentioning

confidence: 99%

“…More recently, Esfandiari et al [16] developed another analytical sensitivity-based method that is based on changes to elemental stiffness and mass properties at the element level. Methods have also been developed that use numerical sensitivities and numerical optimization techniques as seen in Kouchmeshky et al [17], which, while solving the problem numerically, still requires access to elemental stiffness matrices. It is noted by Kouchmeshky et al that the method was successful because of the simple nature of the structure allowing for the large amount of required function evaluations.…”

Section: Introductionmentioning

confidence: 99%

Finite element model updating using frequency response functions and numerical sensitivities

Sipple

Sanayei

2013

Struct. Control Health Monit.

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SUMMARY A new method is presented for finite element model (FEM) updating using frequency response functions and numerical sensitivities. The proposed method differs from methods currently in the literature by using numerical sensitivities to solve the inverse problem instead of analytical sensitivities. This method combines the usefulness of commercially available finite element modeling programs with advanced optimization algorithms to solve the inverse problem while requiring neither model reduction nor data expansion. The method is applied to several simulated test cases in which damage is detected and the usefulness of the method is shown. The method proved to be robust, stable, error tolerant, and successful in estimating unknown structural parameters using frequency response functions for FEM updating. Copyright © 2013 John Wiley & Sons, Ltd.

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Structural damage identification using co-evolution and frequency response functions

Cited by 11 publications

References 13 publications

Localising and quantifying damage by means of a multi-chromosome genetic algorithm

Localising and quantifying damage by means of a multi-chromosome genetic algorithm

Damage identification of beam-like structures with contiguous and distributed damage

Finite element model updating using frequency response functions and numerical sensitivities

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