Static–dynamic multi-scale structural damage identification in a multi-objective framework

Perera, Ricardo; Marín, Roberto Ramírez; Ruíz, Antonio

doi:10.1016/j.jsv.2012.10.033

Cited by 49 publications

(35 citation statements)

References 25 publications

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“…For the IARR method, it is found that the magnitudes of IARR 7 , IARR 8 , IARR 9 and IARR 10 related to the damaged element are much larger than Note: The data represent the constraint deviation levels expressed by equation (12). ARR: analytical redundancy reduction; IARR: improved analytical redundancy reduction.…”

Section: Damage Assessment Resultsmentioning

confidence: 99%

“…6 In general, static and dynamic measurements of a structure are adopted as objective responses for damage assessment. [7][8][9][10][11][12] Static testing can straightly reflect the current stiffness or resistance ability of the structure and thus is often used for the evaluation of bridges. Displacements or deflections are first options, and a model updating procedure or parametric study 7 can be employed for assessment.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, multi-scale structural damage identification using both static and dynamic measurements is an alternative option with the aid of multi-objective optimization algorithms. 12 However, it should be noted that most damage assessment methods require numerical models (e.g. Finite element (FE) models) for computing the objective static or dynamic responses, especially when model updating strategies are implemented.…”

Section: Introductionmentioning

confidence: 99%

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Non-model based structural damage assessment using improved analytical redundancy relations

Fang

Bao

2018

Journal of Low Frequency Noise, Vibration and Active Control

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A damage assessment problem can be stated as a constraint satisfaction problem utilizing the translational and rotational displacements of a structure as measurements. By this means, usual numerical models are no longer required for a damage assessment, which considerably simplifies the solution process. In order to avoid the use of rotational displacements that are difficult to measure in practice, an improved analytical redundancy reduction method has been developed in which rotational displacements are replaced by translational ones. Moreover, some constraint equation positions in the decomposition of a static equilibrium matrix are exchanged according to their association with pre-assumed damaged elements. Then damage is located according to the changes in the relevant constraints of specific elements or substructures. Besides, the deviation increments of improved analytical redundancy reduction can embody the stiffness changes of the damaged elements. The proposed improved analytical redundancy reduction method was validated using both numerical and experimental steel box beams under static loads. The damage assessment results demonstrate the superiority of the improved analytical redundancy reduction method over the constraint satisfaction problem and analytical redundancy reduction methods.

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Section: Damage Assessment Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non-model based structural damage assessment using improved analytical redundancy relations

Fang

Bao

2018

Journal of Low Frequency Noise, Vibration and Active Control

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“…Moreover, there are a number of works [20][21][22] that formulated the structural damage detection as multiobjective optimization problems having a number of objectives evaluated from the differences between measured and theoretically computed vibration characteristics.…”

Section: Advances In Mechanical Engineeringmentioning

confidence: 99%

“…Some previous works employed the damage detection in the beams as test problems [5,6,22]; however, the beams are divided into only a few number of elements, not more than 10 elements, in their studies. With a small number of divided elements, there could be some numerical errors in the objective calculation by numerical methods.…”

Section: Advances In Mechanical Engineeringmentioning

confidence: 99%

Vibration-Based Damage Detection in Beams by Cooperative Coevolutionary Genetic Algorithm

Boonlong

2014

Advances in Mechanical Engineering

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Vibration-based damage detection, a nondestructive method, is based on the fact that vibration characteristics such as natural frequencies and mode shapes of structures are changed when the damage happens. This paper presents cooperative coevolutionary genetic algorithm (CCGA), which is capable for an optimization problem with a large number of decision variables, as the optimizer for the vibration-based damage detection in beams. In the CCGA, a minimized objective function is a numerical indicator of differences between vibration characteristics of the actual damage and those of the anticipated damage. The damage detection in a uniform cross-section cantilever beam, a uniform strength cantilever beam, and a uniform cross-section simply supported beam is used as the test problems. Random noise in the vibration characteristics is also considered in the damage detection. In the simulation analysis, the CCGA provides the superior solutions to those that use standard genetic algorithms presented in previous works, although it uses less numbers of the generated solutions in solution search. The simulation results reveal that the CCGA can efficiently identify the occurred damage in beams for all test problems including the damage detection in a beam with a large number of divided elements such as 300 elements.

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Concrete Beam Screening Through DIC Images

Perera

Huerta

Torres

et al. 2023

Lecture Notes in Civil Engineering

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Static–dynamic multi-scale structural damage identification in a multi-objective framework

Cited by 49 publications

References 25 publications

Non-model based structural damage assessment using improved analytical redundancy relations

Non-model based structural damage assessment using improved analytical redundancy relations

Vibration-Based Damage Detection in Beams by Cooperative Coevolutionary Genetic Algorithm

Concrete Beam Screening Through DIC Images

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