Crack detection in prestressed concrete structures by measuring their natural frequencies

Ercolani, Germán Darío; Felix, Daniel H.; Ortega, Néstor F.

doi:10.1007/s13349-018-0295-2

Cited by 16 publications

(11 citation statements)

References 18 publications

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“…e resulting modification of the FEM will indicate the locations and extents of structural damage. Depending on the type of parameters used, the FEM updating methods can be divided into frequency based methods [5][6][7][8][9][10][11][12][13], mode shape based methods [14][15][16][17], flexibility based methods [18][19][20][21][22][23], displacement based methods [24][25][26], and so on. In most cases, these FEM updating methods will come down to the solution of a system of linear equations.…”

Section: Introductionmentioning

confidence: 99%

A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data

Peng

Qin

Yang

et al. 2021

Advances in Civil Engineering

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Damage detection of concrete structures based on finite element model and measured response parameters has been an important research topic in recent years. It is well known that test data of mechanical behavior of concrete show great scatterness. As a result, the measured response parameters of concrete structures sometimes have gross errors. The gross error is a physical quantity that is much larger than data noise, which may lead to serious distortion of calculation results. To this end, a new robust estimate method termed as the augmented inverse estimate is proposed in this work for damage detection of concrete structures to resist gross errors in data. It has the advantages of very simple programming, convenient utilization, high computational accuracy, and broad prospect of application. Central to the augmented inverse estimate are the augmentation of coefficient matrix and the multiple computations based on feedback evaluation. A reinforced concrete beam structure is used as an example to verify the proposed method. It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.

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Section: Introductionmentioning

confidence: 99%

A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data

Peng

Qin

Yang

et al. 2021

Advances in Civil Engineering

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“…Numerous researches were carried out using long-term monitoring [4]- [6]. In fact, some structures are monitored 24 hours a day, 7 days a week, to supply dynamic measurements that can be used for the identification of structural problems, such as the presence of cracks [7], [8], excessive vibration [9]- [11], damage identification [12]- [15], among others. Furthermore, structural dynamic analyses allow performing a quite extensive structural evaluation concerning its reliability, vulnerability or even its life cycle [16].…”

Section: Introductionmentioning

confidence: 99%

Assessment of low-cost wireless sensors for structural health monitoring applications

Júnior

Cury

Júnior

2021

Rev. IBRACON Estrut. Mater.

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Structural Health Monitoring (SHM) programs play an essential task in the field of civil engineering, especially for assessing safety conditions involving large structures such as viaducts, bridges, stadiums, and tall buildings. In fact, some of these structures are monitored 24 hours a day, 7 days a week, to supply dynamic measurements that can be used for the identification of structural problems, e.g., presence of cracks, excessive vibration, damage, among others. SHM programs may provide automated assessment of structural health by processing vibration data obtained from sensors attached to the structure. Frequently, SHM uses wired systems, which are usually expensive due to the necessity of continuous maintenance and are not always suitable for sensing remote structures. Conversely, commercial wireless systems often demand high implementation costs. Hence, this paper proposes the use of a low-cost wireless sensing system based on the single board computer Raspberry Pi, which significantly reduces implementation expenses while keeping data’s integrity. The wireless communication is performed in real-time through a local wireless network, responsible for sending and receiving vibration data. The proposed system is validated by comparing its results with a commercial wired system through a series of controlled experimental applications. The results suggest that the proposed system is suitable for civil SHM applications.

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“…In recent decades, structural damage evaluation has become a key issue in the field of civil engineering, mechanical engineering, aerospace engineering and so on. The method based on natural frequency changes [1,2,3,4,5,6,7,8,9,10,11] is one of the mainstream methods for structural damage evaluation, since the natural frequencies are most easily and accurately measured in comparison with other dynamic characteristics of a structure. Messina et al [3] proposed a damage detection method termed the multiple damage location assurance criterion by using the natural frequency sensitivity analysis.…”

Section: Introductionmentioning

confidence: 99%

“…It was shown that selecting vibration modes with low NRR values improves the prediction accuracy of frequency-based damage detection. Ercolani et al [11] studied the inverse method of damage detection from the measurement of the first three natural frequencies of vibration on two experimental beams.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Singular Value Truncation Method for Non-Destructive Evaluation of Structural Damage Using Natural Frequencies

Yang

Wang

et al. 2019

Materials

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As natural frequencies can be easily and accurately measured, structural damage evaluation by frequency changes is very common in engineering practice. However, this type of method is often limited by data, such as when the available natural frequencies are very few or contaminated. Although much progress has been made in frequency-based methods, there is still much room for improvement in calculation accuracy and efficiency. To this end, an enhanced singular value truncation method is proposed in this paper to evaluate structural damage more effectively by using a few lower order natural frequencies. The main innovations of the enhanced singular value truncation method lie in two aspects: The first is the normalization of linear systems of equations; the second is the multiple computations based on feedback evaluation. The proposed method is very concise in theory and simple to implement. Two numerical examples and an experimental example are employed to verify the proposed method. In the numerical examples, it was found that the proposed method can successively obtain more accurate damage evaluation results compared with the traditional singular value truncation method. In the experimental example, it was shown that the proposed method possesses more precise and fewer calculations compared with the existing optimization algorithms.

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Crack detection in prestressed concrete structures by measuring their natural frequencies

Cited by 16 publications

References 18 publications

A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data

A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data

Assessment of low-cost wireless sensors for structural health monitoring applications

Enhanced Singular Value Truncation Method for Non-Destructive Evaluation of Structural Damage Using Natural Frequencies

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