Recent progress and future trends on damage identification methods for bridge structures

An, Yonghui; Chatzi, Eleni; Sim, Sung‐Han; Laflamme, Simon; Błachowski, Bartłomiej; Ou, Jinping

doi:10.1002/stc.2416

Cited by 217 publications

(136 citation statements)

References 204 publications

(210 reference statements)

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“…4 Having considered such benefits, one can effectively utilize the modal data in vibration-based applications such as FEMU and damage detection. [4][5][6][7][8][9] As an alternative, it is feasible to apply energy-based modal functions such as modal strain energy (MSE) and modal kinetic energy (MKE) to the mentioned applications. Because these are formulated as the combination of the modal data and the inherent structural properties, it is possible to define reliable and robust FEMU and/or damage detection approaches by using the energy-based modal functions.…”

Section: Discussionmentioning

confidence: 99%

“…All The lengths of the column and beam elements correspond to 0.75 and 1 m, respectively. For the simulation of real conditions of dynamic tests, it is assumed that some sensors are installed at the nodes 3,5,7,9,12,14,16,18,20, and 23 to measure the only translation modal displacements as illustrated in Figure 1. Moreover, the first seven modes are utilized to simulate the incompleteness of modal data.…”

Section: A Two-story Concrete Framementioning

confidence: 99%

“…In contrast, the modal displacements (mode shapes) provide spatial information about structural dynamics . Having considered such benefits, one can effectively utilize the modal data in vibration‐based applications such as FEMU and damage detection . As an alternative, it is feasible to apply energy‐based modal functions such as modal strain energy (MSE) and modal kinetic energy (MKE) to the mentioned applications.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A sensitivity‐based finite element model updating based on unconstrained optimization problem and regularized solution methods

Rezaiee‐Pajand

Entezami

Sarmadi

2020

Struct Control Health Monit

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Summary An effective and reliable approach to updating finite element (FE) models of real structures is to utilize a sensitivity‐based strategy. A challenging issue concerning the sensitivity‐based finite element model updating (FEMU) is to create a well‐established framework for updating the inherent structural properties of FE models under incomplete noisy modal data. When noise contaminates the measured modal parameters, another challenging issue stems from the ill‐posedness of the FEMU inverse problem. This article proposes an innovative sensitivity‐based FEMU strategy based on the combination of modal kinetic energy and modal strain energy for simultaneously updating the element mass and stiffness matrices of FE models. The great novelty of this strategy is to get an idea from the unconstrained optimization problem for the establishment of a sensitivity‐based FEMU framework. The correction of the element mass and stiffness matrices in a simultaneous way is another novelty of the proposed FEMU strategy. Moreover, new iterative and hybrid regularization methods under the Krylov subspace theory and bidiagonalization process are presented to solve the ill‐posed inverse problem of FEMU. The accuracy and reliability of the proposed methods are numerically validated by a two‐story concrete frame and a two‐span continuous steel truss along with some comparative analyses. Results demonstrate that the suggested sensitivity‐based strategy and regularized solution methods are influential and successful in FEMU under incomplete noisy modal data.

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Section: Discussionmentioning

confidence: 99%

Section: A Two-story Concrete Framementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A sensitivity‐based finite element model updating based on unconstrained optimization problem and regularized solution methods

Rezaiee‐Pajand

Entezami

Sarmadi

2020

Struct Control Health Monit

View full text Add to dashboard Cite

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“…For example, wavelet analysis has been reported to offer superior performance especially for low levels of damage (Chouinard et al, 2019). A review of damage identification methods for bridges is given in An et al (2019).…”

Section: Introductionmentioning

confidence: 99%

Sensor Data Interpretation in Bridge Monitoring—A Case Study

Raphael

Harichandran

2020

Front. Built Environ.

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Large amount of data is obtained during bridge monitoring using sensors. Interpreting this data in order to obtain useful information about the condition of the bridge is not straight forward. This paper describes a case study of a railway bridge in India and explains how multi-dimensional visualization tools were used to extract relevant information from data. Parallel axis plots were used to visually examine the data. Trends and patterns in data were observed, which were used for more detailed investigation. The case study shows the complexity in data interpretation even in the case of simple bridge configurations.

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“…To ensure the safety of structures, structural health monitoring (SHM) became a very important research topic and many effective SHM methods were developed [1][2][3][4][5]. Damage identification methods [6][7][8][9][10][11][12] can provide critical theoretical foundations for SHM. Because of the rapid development of sensor techniques and experimental protocols, damage identification methods, based on the structural dynamic response, have been widely studied and applied, including the time-domain response-based methods and the modal response-based methods.…”

Section: Introductionmentioning

confidence: 99%

Damage Identification Based on Adding Mass for Liquid–Solid Coupling Structures

Hou

Wang

et al. 2020

Applied Sciences

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Damage identification for liquid–solid coupling structures remains a challenging topic due to the influence of liquid and the limitation of experimental conditions. Therefore, the adding mass method for damage identification is employed in this study. Adding mass to structures is an effective method for damage identification, as it can increase not only the experimental data but also the sensitivity of experimental modes to local damage. First, the fundamental theory of the adding mass method for damage identification is introduced. After that, the method of equating the liquid to the attached mass is proposed by considering the liquid–solid coupling. Finally, the effectiveness and reliability of damage identification, based on adding mass for liquid–solid coupling structures, are verified through experiments of a submerged cantilever beam and liquid storage tank.

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Recent progress and future trends on damage identification methods for bridge structures

Cited by 217 publications

References 204 publications

A sensitivity‐based finite element model updating based on unconstrained optimization problem and regularized solution methods

A sensitivity‐based finite element model updating based on unconstrained optimization problem and regularized solution methods

Sensor Data Interpretation in Bridge Monitoring—A Case Study

Damage Identification Based on Adding Mass for Liquid–Solid Coupling Structures

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