Reformulation of elemental modal strain energy method based on strain modes for structural damage detection

Wu, Shaoqing; Zhou, Jixiang; Rui, Sheng; Fei, Qingguo

doi:10.1177/1369433216665626

Cited by 25 publications

(10 citation statements)

References 31 publications

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“…Further post-processing of modal strains (or modal curvatures) would be directly useful for damage identification methods based on modal curvatures, modal strains or modal energies. [11,42,43,44,45].…”

Section: Strain Mode Shapesmentioning

confidence: 99%

Damage identification using modal strains identified from operational fiber-optic Bragg grating data

Anastasopoulos

Smedt

Vandewalle

et al. 2017

Structural Health Monitoring

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Vibration-based structural health monitoring of civil structures relies on the repeated identification of dynamic structural characteristics of the structure from output-only vibration data. Natural frequencies and displacement mode shapes are the most commonly employed dynamic characteristics, yet their sensitivity to local damage of moderate severity is rather low with respect to their sensitivity to other factors such as temperature, necessitating data normalization. Strain mode shapes offer a higher sensitivity to local damage, but their accurate identification in a dense grid is challenging given the very small dynamic strain levels that are encountered under ambient excitation. In this paper, a method is presented for tackling this challenge. It consists of three stages. Firstly, fiber optic Bragg grating strain sensors are attached to the structure and interrogated with a tunable laser performing a wavelength sweep. In this way, the measured strain amplitudes have the required accuracy but synchronization errors are introduced between the different Bragg sensors. Secondly, a modal analysis is performed on the dynamic strain data using an accurate parametric system identification technique. This is followed by a synchronization step which compensates for the delays introduced by the wavelength sweep. Finally, the synchronized strain mode shapes are employed as damage-sensitive features, either directly or via a newly proposed quantity, the top-to-bottom strain ratio. The method is validated by progressive damage testing of a complex, prestressed concrete "roof" beam, reinforced with steel fibers. It is observed that the proposed method can identify both the presence and the location of the damage in a relatively early stage.

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Section: Strain Mode Shapesmentioning

confidence: 99%

Damage identification using modal strains identified from operational fiber-optic Bragg grating data

Anastasopoulos

Smedt

Vandewalle

et al. 2017

Structural Health Monitoring

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“…At present, establishing a damage index is the main method of structural damage identification based on the strain mode, and the changes in the damage index before and after structural damage based on the strain mode are obtained to identify the damage. Both numerical simulation and experimental results demonstrate that the method of structural damage identification based on the strain mode can accurately identify the damage location, and the strain mode has better noise resistance than the displacement mode [11,12].…”

Section: Introductionmentioning

confidence: 97%

Structural Damage Identification Based on the Wavelet Transform and Improved Particle Swarm Optimization Algorithm

Guo

Guan

Zhao

2020

Advances in Civil Engineering

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A method based on the wavelet transform and improved particle swarm optimization (WIPSO) algorithm is proposed to identify the microdamage of structures. First, the singularity of wavelet coefficients is used to identify the structural damage location, and then, the improved particle swarm optimization (IPSO) algorithm is used to calculate the optimal solution of the objective function of the structural damage location to determine the structural damage severity. To study the performance of WIPSO, the structural microdamage severity is set within 10%, and a numerical simulation and experimental structure under different damage scenarios are considered. In addition, the ability of wavelet coefficients to identify the location of the structural damage under different noise levels is studied. To evaluate the performance of IPSO, the standard particle swarm optimization algorithm with an inertia weight factor of 0.8 (0.8PSO), the genetic algorithm (GA), and the bat algorithm (BA) are also considered. The results show that WIPSO can effectively and accurately identify the structural damage location and severity. Wavelet transform is very robust to the structural damage location. Compared with the standard 0.8PSO and other mainstream algorithms, IPSO has good convergence and performs more stable and more accurate in the identification of structural damage severity.

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“…The wholeness strain energy approach is first utilized for roughly localizing the potentially damaged members, and then the final damage locations and associated extents are exactly estimated with the locality strain energy approach. Wu et al [31] presented a modal strain energy based on strain modes for structural damage detection. Only strain data are adopted in their proposed method and no rotational information of the structure is required.…”

Section: Introductionmentioning

confidence: 99%

Damage Identification for Shear-Type Structures Using the Change of Generalized Shear Energy

2022

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Structural damage identification has become an important topic in the field of civil engineering in recent years. The shear-type structure, such as shear frame structure, is a common type used in civil engineering. In this paper, a damage identification method based on the change of generalized shear energy is proposed for shear-type structures. The main steps of the proposed method are as follows. Firstly, the element stiffness matrix in the structural finite element model is decomposed to obtain the elementary shear force vector. Secondly, the elementary generalized shear energy is calculated by the dot product of the vibration mode shape vector and the elementary shear force vector. Thirdly, structural damage locations can be determined by the changes of elementary generalized shear energy. Finally, more accurate damage localization and quantification are achieved by solving the mode shape sensitivity equation. A 20-storey numerical example and a three-storey experimental model are used to demonstrate the proposed damage identification algorithm. From the numerical and experimental results, it was found that the proposed approach can accurately identify the location and extent of the damage in the shear structures even if the data contain noise. It has been shown that the presented algorithm may be useful in the damage identification of shear-type structures.

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Reformulation of elemental modal strain energy method based on strain modes for structural damage detection

Cited by 25 publications

References 31 publications

Damage identification using modal strains identified from operational fiber-optic Bragg grating data

Damage identification using modal strains identified from operational fiber-optic Bragg grating data

Structural Damage Identification Based on the Wavelet Transform and Improved Particle Swarm Optimization Algorithm

Damage Identification for Shear-Type Structures Using the Change of Generalized Shear Energy

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