Modal Strain Energy-Based Model Updating Method for Damage Identification on Beam-Like Structures

Yang, Xiuming; Ouyang, Huajiang; Guo, Xinglin; Cao, Sheng

doi:10.1061/(asce)st.1943-541x.0002812

Cited by 17 publications

(7 citation statements)

References 29 publications

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“…Randhawa and Bhalla [72] slightly expanded the technique proposed by Ratcliffe [70] to detect multiple damage in beam-like structures. Yang et al [73] incorporated the GSM into a strain energy-based technique to identify both the location and severity of single or multiple damage in beam-like structures. Ratcliffe and Bagaria [71] successfully employed the GSM to locate a manufactured delamination in a small-scale glass-reinforced epoxy beam.…”

Section: Review Of Space Domain-based Techniques Using the Curve-fitt...mentioning

confidence: 99%

“…In the context of FE model updating for bridges, GOF formulation as a linear combination of individual objective functions has been effectively employed in some studies [73,104,105], in which functions related to natural frequencies, mode shapes, and static deflections were used. A common way to ensure convergence and accuracy of the GOF optimization was to allocate a weighting factor to each individual objective function.…”

Section: Recommendation For Further Researchmentioning

confidence: 99%

“…-GSM [21,[70][71][72][73][74]78] -GFM [97] -GDM [87][88][89] -Regression [20,77] -FRF [75,76,83] -ODS [69,81,84,86] -FE models [22,[90][91][92] • Detecting perturbations in:…”

mentioning

confidence: 99%

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Reference-Free Vibration-Based Damage Identification Techniques for Bridge Structural Health Monitoring—A Critical Review and Perspective

Moravvej,

El-Badry

2024

Sensors

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Bridges are designed and built to be safe against failure and perform satisfactorily over their service life. Bridge structural health monitoring (BSHM) systems are therefore essential to ensure the safety and serviceability of such critical transportation infrastructure. Identification of structural damage at the earliest time possible is a major goal of BSHM processes. Among many developed damage identification techniques (DITs), vibration-based techniques have shown great potential to be implemented in BSHM systems. In a vibration-based DIT, the response of a bridge is measured and analyzed in either time or space domain for the purpose of detecting damage-induced changes in the extracted dynamic properties of the bridge. This approach usually requires a comparison between two structural states of the bridge—the current state and a reference (intact/undamaged) state. In most in-situ cases, however, data on the bridge structural response in the reference state are not available. Therefore, researchers have been recently working on the development of DITs that eliminate the need for a prior knowledge of the reference state. This paper thoroughly explains why and how the reference state can be excluded from the damage identification process. It then reviews the state-of-the-art reference-free vibration-based DITs and summarizes their merits and shortcomings to give guidance on their applicability to BSHM systems. Finally, some recommendations are given for further research.

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Section: Review Of Space Domain-based Techniques Using the Curve-fitt...mentioning

confidence: 99%

Section: Recommendation For Further Researchmentioning

confidence: 99%

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Reference-Free Vibration-Based Damage Identification Techniques for Bridge Structural Health Monitoring—A Critical Review and Perspective

Moravvej,

El-Badry

2024

Sensors

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“…Damage detection based on vibration data has been widely applied in structural health monitoring in the last few decades (Farrar and Worden, 2007; Yang et al, 2020; Peng et al, 2022; Zhang et al, 2022). These approaches normally identify structural damage through the changes in modal parameters and/or their derivatives between the intact structure and the damaged structure.…”

Section: Introductionmentioning

confidence: 99%

Substructural damage identification using autoregressive moving average with exogenous inputs model and sparse regularization

Zhu

Weng

et al. 2023

Advances in Structural Engineering

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Substructuring approaches possess many superiorities over traditional global approaches in damage identification because large-size global structures are replaced by small and manageable substructures. This paper proposes a substructural time series model for locating and quantifying the damage in complex systems. A substructural autoregressive moving average with exogenous inputs (ARMAX) model is established to extract the frequencies and mode shapes of substructures as indicators for damage detection. The detection of structural damage is essentially an inverse problem, and the damage in structure bears sparse properties. The inverse problem of substructural damage identification is efficiently solved via sparse regularization, and structural damage can be located and quantified through the nonzero terms in the solution vector. The accuracy of the proposed method is demonstrated by the numerical simulation of a frame structure and shaking table test of a shear building structure. As the substructural properties are more sensitive to local structural damage than the global properties, the substructural ARMAX model is quite accurate and efficient to be used in the damage identification of a complex system.

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“…Dynamic damage identification [ 10 , 11 , 12 , 13 ] is a more widely used identification method in the field of modern civil engineering, especially dynamic damage identification based on modal changes. The principle of modal-based damage identification methods is to identify the location of damage through changes modal parameters (natural frequency [ 14 , 15 ], mode of vibration [ 16 , 17 ], curvature modal [ 18 , 19 ], strain modal [ 20 , 21 ], etc. ), and these modal parameters can generally be obtained using the time domain decomposition technique (TDD) [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Seismic Damage Identification Method for Curved Beam Bridges Based on Wavelet Packet Norm Entropy

Deng

Huang

Cao

et al. 2021

Sensors

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Curved beam bridges, whose line type is flexible and beautiful, are an indispensable bridge type in modern traffic engineering. Nevertheless, compared with linear bridges, curved beam bridges have more complex internal forces and deformation due to the curvature; therefore, this type of bridge is more likely to suffer damage in strong earthquakes. The occurrence of damage reduces the safety of bridges, and can even cause casualties and property loss. For this reason, it is of great significance to study the identification of seismic damage in curved beam bridges. However, there is currently little research on curved beam bridges. For this reason, this paper proposes a damage identification method based on wavelet packet norm entropy (WPNE) under seismic excitation. In this method, wavelet packet transform is adopted to highlight the damage singularity information, the norm entropy of wavelet coefficient is taken as a damage characteristic factor, and then the occurrence of damage is characterized by changes in the damage index. To verify the feasibility and effectiveness of this method, a finite element model of Curved Continuous Rigid-Frame Bridges (CCRFB) is established for the purposes of numerical simulation. The results show that the damage index based on WPNE can accurately identify the damage location and characterize the severity of damage; moreover, WPNE is more capable of performing damage location and providing early warning than the method based on wavelet packet energy. In addition, noise resistance analysis shows that WPNE is immune to noise interference to a certain extent. As long as a series of frequency bands with larger correlation coefficients are selected for WPNE calculation, independent noise reduction can be achieved.

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Modal Strain Energy-Based Model Updating Method for Damage Identification on Beam-Like Structures

Cited by 17 publications

References 29 publications

Reference-Free Vibration-Based Damage Identification Techniques for Bridge Structural Health Monitoring—A Critical Review and Perspective

Reference-Free Vibration-Based Damage Identification Techniques for Bridge Structural Health Monitoring—A Critical Review and Perspective

Substructural damage identification using autoregressive moving average with exogenous inputs model and sparse regularization

Seismic Damage Identification Method for Curved Beam Bridges Based on Wavelet Packet Norm Entropy

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