Fundamental Mode Shape–Based Structural Damage Quantification Using Spectral Element Method

Chaudhary, Purushottam Kumar; Anjneya, Kumar; Roy, Koushik

doi:10.1061/(asce)em.1943-7889.0001970

Cited by 9 publications

(2 citation statements)

References 32 publications

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“…Chaudhary et al [122] applied the concept of the spectral element method to the derivation of the mode shape expression to establish the mathematical correlation between the mode shapes of damaged and healthy structures. The numerical results of a fourteenstorey shear building and a six-storey laboratory building model showed that the proposed method was effective in quantifying damage.…”

Section: Mode Shape-based Methodsmentioning

confidence: 99%

The Current Development of Structural Health Monitoring for Bridges: A Review

et al. 2023

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The health monitoring system of a bridge is an important guarantee for the safe operation of the bridge and has always been a research hotspot in the field of civil engineering. This paper reviews the latest progressions in bridge health monitoring over the past five years. This paper is organized according to the various links of the bridge health monitoring system. Firstly, the literature on monitoring technology is divided into two categories, sensor technology and computer vision technology, for review. Secondly, based on the obtained monitoring data, the data processing methods including preprocessing, noise reduction, and reconstruction are summarized. Then, the technical literature on abnormal data early warning systems is summarized. The recent advances in vibration-based and non-destructive testing-based damage identification methods are reviewed in the next section. Finally, the advantages and disadvantages of the existing research and the future research directions are summarized. This review aims to provide a clear framework and some reliable methods for future research.

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Section: Mode Shape-based Methodsmentioning

confidence: 99%

The Current Development of Structural Health Monitoring for Bridges: A Review

et al. 2023

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“…Over the past decades, a great deal of research has been conducted for structural identification in either the frequency domain [1][2][3][4][5] or the time domain [6][7][8][9][10]. It should be noted that almost all of the studies reviewed above assume that structural mass is known when structural systems are identified.…”

Section: Introductionmentioning

confidence: 99%

A Joint State-Parameter Identification Algorithm of a Structure with Non-Diagonal Mass Matrix Based on UKF with Unknown Mass

Wang

Lei

2022

Buildings

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Inaccurate mass estimates have been recognized as an important source of uncertainty in structural identification, especially for large-scale structures with old ages. Over the past decades, some identification algorithms for structural states and unknown parameters, including unknown mass, have been proposed by researchers. However, most of these identification algorithms are based on the simplified mechanical model of chain-like structures. For a chain-like structure, the mass matrix and its inverse matrix are diagonal matrices, which simplify the difficulty of identifying the structure with unknown mass. However, a structure with a non-diagonal mass matrix is not of such a simple characteristic. In this paper, an online joint state-parameter identification algorithm based on an Unscented Kalman filter (UKF) is proposed for a structure with a non-diagonal mass matrix under unknown mass using only partial acceleration measurements. The effectiveness of the proposed algorithm is verified by numerical examples of a beam excited by wide-band white noise excitation and a two-story one-span plane frame structure excited by filtered white noise excitation generated according to the Kanai–Tajimi power spectrum. The identification results show that the proposed algorithm can effectively identify the structural state, unknown stiffness, damping and mass parameters of the structures.

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