Modal strain energy-based updating procedure for damage detection: a numerical investigation

Nguyen, Quy Thue; Livaoğlu, Ramazan

doi:10.1007/s12206-022-0307-3

Cited by 11 publications

(2 citation statements)

References 18 publications

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“…Modal parameters are arguably among the most commonly adopted vibration-based damage features [ 45 ], mainly eigenfrequencies and mode shapes [ 46 , 47 ] (few successful examples about the use of modal damping as a damage feature can be found in the literature [ 48 ], mainly due to the complexity of the damping mechanism and the uncertainty associated with its estimate [ 49 , 50 ]). This paper focuses on eigenfrequencies, which can be easily estimated relying on few sensors and are usually less affected by experimental noise with respect to mode shapes [ 51 ].…”

Section: Methodsmentioning

confidence: 99%

A Damage Detection Approach for Axially Loaded Beam-like Structures Based on Gaussian Mixture Model

Lucà

Manzoni

Cerutti

et al. 2022

Sensors

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Axially loaded beam-like structures represent a challenging case study for unsupervised learning vibration-based damage detection. Under real environmental and operational conditions, changes in axial load cause changes in the characteristics of the dynamic response that are significantly greater than those due to damage at an early stage. In previous works, the authors proposed the adoption of a multivariate damage feature composed of eigenfrequencies of multiple vibration modes. Successful results were obtained by framing the problem of damage detection as that of unsupervised outlier detection, adopting the well-known Mahalanobis squared distance (MSD) to define an effective damage index. Starting from these promising results, a novel approach based on unsupervised learning data clustering is proposed in this work, which increases the sensitivity to damage and significantly reduces the uncertainty associated with the results, allowing for earlier damage detection. The novel approach, which is based on Gaussian mixture model, is compared with the benchmark one based on the MSD, under the effects of an uncontrolled environment and, most importantly, in the presence of real damage due to corrosion.

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Section: Methodsmentioning

confidence: 99%

A Damage Detection Approach for Axially Loaded Beam-like Structures Based on Gaussian Mixture Model

Lucà

Manzoni

Cerutti

et al. 2022

Sensors

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show abstract

“…Several signal-based approaches as non-destructive methods include the time, frequency, and time-frequency domains (Liu et al, 2023). Some usable frequency domain techniques as variations in dynamic features, including natural frequency (Khodadadi & Mirjalili, 2022;Loya, Aranda-Ruiz & Zaera, 2022), modal Curvatures (Yang et al, 2022;Nguyen et al, 2020), mode shape (Hassani, Mousavi, & Gandomi 2022;Zhang et al, 2022), modal strain energy (MSE) (Shirazi et al, 2023;Daneshvar, 2022;Nguyen, & Livaoğlu 2022), frequency response functions (FRF), and power spectral density (PSD) (Fang et al 2023;Hadizadeh-Bazaz, Navarro, & Yepes 2022) are employed in vibration-based damage detection, some popular non-destructive testing methods.…”

Section: Introductionmentioning

confidence: 99%

Durabilidad y rediseño de un puente de hormigón en ambiente costero mediante un método no destructivo de detección de daños

2023

Proceedings From the International Congress on Project Management and Engineering

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Experts and governments have long focused on reducing the costs of repairing and maintaining crucial structures such as bridges through continuous maintenance and repair. In the meantime, using appropriate methods for identifying possible damage and researching how much a partial re-design will lower the costs of repairing and maintaining a structure over its lifetime, considering the structure's environment and damage causes. This study explores the costeffectiveness of two damage prediction methods using the power spectral density (PSD) method compared to the conventional method of detecting damage by re-designing different concrete cover thicknesses for a coastal reinforced concrete bridge. The study evaluates the impact of chloride ions on the location and extent of damage over the bridge's lifetime and compares the total maintenance and repair costs. The results show that while the PSD method is effective for concrete structures with low concrete covers, increasing the concrete cover thickness may result in higher repair costs.Keywords: life cycle cost assessment; non-destructive damage detection methods; coastal concrete bridge; steel corrosion; chloride corrosion; maintenance and repair techniques Palabras clave: evaluación del coste del ciclo de vida; métodos no destructivos de detección de daños; puente costero de hormigón; corrosión del acero; corrosión por cloruros; técnicas de mantenimiento y reparación Agradecimientos: This research was funded by MCIN/

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Damage detection at storey and element levels of high-rise buildings: a hybrid method

Nguyen

Livaoğlu

2022

Neural Comput & Applic

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Modal strain energy-based updating procedure for damage detection: a numerical investigation

Cited by 11 publications

References 18 publications

A Damage Detection Approach for Axially Loaded Beam-like Structures Based on Gaussian Mixture Model

A Damage Detection Approach for Axially Loaded Beam-like Structures Based on Gaussian Mixture Model

Durabilidad y rediseño de un puente de hormigón en ambiente costero mediante un método no destructivo de detección de daños

Damage detection at storey and element levels of high-rise buildings: a hybrid method

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