Substructure damage identification based on sensitivity of Power Spectral Density

Fang, Youliang; Liu, Xueting; Xing, Jie; Li, Zongrao; Zhang, Ying

doi:10.1016/j.jsv.2022.117451

Cited by 8 publications

(4 citation statements)

References 27 publications

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“…A PSD-based method uses the ratio of a highly sensitive implicit nonlinear structure-function to a frequency response function (FRF), which is more sensitive to changes in structural parameters [24]. A related study successfully applied the combination of substructure and power spectrum sensitivity to a 6layer frame structure [25]. This paper uses the power spectrum sensitivity equation iteratively to determine the degree of damage and to identify cracking in simply supported beams.…”

Section: Power Spectral Density (Psd) Sensitivity Analysismentioning

confidence: 99%

Bridge damage identification with improved HHT and PSD sensitivity method based on vehicle response

Fang,

Xing,

Zhang

2024

J Braz. Soc. Mech. Sci. Eng.

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A damage identification method combining improved Hilbert-Huang transform (HHT) and power spectrum density (PSD) sensitivity analysis is proposed to study the acceleration response signals of a test vehicle and to identify damage in bridge structures. This study uses a single acceleration sensor arranged on the test vehicle to identify single and multiple positions of damage on the bridge and identify the degree of damage. Firstly, the vehicle acceleration response is transformed by HHT to determine the position of damage on the bridge structure using changes in the 3D time-frequency amplitude spectrum, which shows a decrease in the instantaneous frequency and an increase in the instantaneous amplitude at the damage position. Secondly, after determining the damage position on the bridge structure, the PSD sensitivity method is used to identify the damage parameters and determine the damage degree at the damage position. The combination of the two methods solves the problem that the traditional direct use of signal processing technology (such as wavelet transform, Hilbert transform) can only identify the damage location of the bridge and use the power spectrum sensitivity to identify the damage degree of each unit of the structure, which leads to a large amount of sensitivity calculation .The identification capabilities of the proposed technique are studied varying the damage locations, crack depths and velocity of vehicle speed vehicle mass .The effect of ambient noise is also taken into account. Numerical simulations shows that the method presented in this paper could identify damage in bridge structures.

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Section: Power Spectral Density (Psd) Sensitivity Analysismentioning

confidence: 99%

Bridge damage identification with improved HHT and PSD sensitivity method based on vehicle response

Fang,

Xing,

Zhang

2024

J Braz. Soc. Mech. Sci. Eng.

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“…Te indices identifed by SI technology typically include modal parameters, including natural frequency, mode shape, and modal damping ratio, with these parameters used as indicators of building safety [12][13][14][15][16]. Changes in natural frequency can be used as an indicator to determine whether building safety is deteriorating [17,18], while changes in mode shape can be used as an indicator to identify locations at which building safety is deteriorating [19,20]. Furthermore, the modal damping ratio serves as an indicator for determining the dynamic response of a structure during the initial design stage, predicting the system's response to external loads such as earthquakes and wind, and allowing for preassessing the usability of the building to be constructed and the safety of the structure under load.…”

Section: Introductionmentioning

confidence: 99%

LSTM‐Based Approach for Stable Identification of Modal Damping Ratio in Building Structures

Yun,

Oh,

Park

et al. 2024

Structural Control and Health Monitoring

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Modal parameters are used as safety assessment indicators for evaluating the structural integrity of buildings in various ways. In particular, the modal damping ratio plays a crucial role in accurately predicting the serviceability and safety of buildings, starting from the initial design stage. However, the identification results of the modal damping ratio can become unstable due to measurement time, initial configuration conditions used in the analysis, and nonstationary responses included in the structural response. To address the instability issue, this study proposes a long short-term memory-based frequency domain decomposition (FDD-LSTM) method. The FDD-LSTM method utilizes the acceleration response of the building as input data and the modal damping ratio obtained from the FDD method as output data, constructing an LSTM network model for the relationship between the acceleration response and modal damping ratio. The FDD-LSTM method exhibited a discrepancy of less than 0.02% compared to the reference value of the modal damping ratio obtained through free vibration response. Furthermore, when applied to data acquired from an actual building, the method demonstrated a variance of approximately 5%. The proposed FDD-LSTM method is validated for stability performance using a three-degree-of-freedom numerical analysis model, a 3-story steel frame structure model, and a 117-story high-rise building. The FDD-LSTM method, trained on a large dataset, enables generalized estimation and addresses instability issues related to modal damping ratio.

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“…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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Substructure damage identification based on sensitivity of Power Spectral Density

Cited by 8 publications

References 27 publications

Bridge damage identification with improved HHT and PSD sensitivity method based on vehicle response

Bridge damage identification with improved HHT and PSD sensitivity method based on vehicle response

LSTM‐Based Approach for Stable Identification of Modal Damping Ratio in Building Structures

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

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