Damage identification method for continuous girder bridges based on spatially-distributed long-gauge strain sensing under moving loads

Wu, Bitao; Wu, Gang; Yang, Caiqian; He, Yanling

doi:10.1016/j.ymssp.2017.10.040

Cited by 44 publications

(21 citation statements)

References 18 publications

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“…18,19 Wu researched the damage detection method of a bridge under moving vehicular loads using a distributed long-gauge strain sensor. 20 Fouad et al conducted early corrosion monitoring of steel reinforcements in concrete structures using long-gauge fiber Bragg grating (FBG) sensors packaged with carbon fiber and discussed the effects of the salt solution, electrical current, and temperature variation on the sensor measurements during corrosion. 21 Based on distributed long-gauge optical fiber sensors, Yongsheng Tang et al proposed a selfsensing fiber-reinforced polymer (FRP) bar.…”

Section: Introductionmentioning

confidence: 99%

Dynamic and quasi-static signal separation method for bridges under moving loads based on long-gauge FBG strain monitoring

Gao

et al. 2019

Journal of Low Frequency Noise, Vibration and Active Control

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Structural health monitoring is an important means of obtaining the state information of bridges, and the extracted quasi-static strain signal can reflect the stress state of bridges directly. However, the strain signals acquired during the operation stage of bridges are dynamic, and the strain gauges used in the health monitoring system are short (no more than 10 cm), which means they are easily affected by small damage at the installation parts of bridges and thereby the monitoring signal abnormalities occur. A type of externally affixed long-gauge fiber strain gauge is used to monitor the health of bridges, and the dynamic and quasi-static signal separation method for long-gauge strain sensors is studied under different vehicle loads; at the same time, the dynamic monitoring performance of the long-gauge sensor is investigated in this paper. The quasi-static strain signal extracted from the dynamic macro-strain signal can be used to directly monitor the stress status of the bridge. The results show that the method proposed in this paper is feasible for extracting the quasi-static macro-strain from a dynamic long-gauge strain signal.

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Section: Introductionmentioning

confidence: 99%

Dynamic and quasi-static signal separation method for bridges under moving loads based on long-gauge FBG strain monitoring

Gao

et al. 2019

Journal of Low Frequency Noise, Vibration and Active Control

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“…Strain gauges have been widely used in the fields of civil, mechanical and aerospace engineering to monitor the health status of structural systems. Wu et al [5] developed damage identification method for concrete continuous girder bridges based on spatially-distributed long-gauge strain sensing. Zymelka et al [6] designed a low-cost graphite-based strain sensors that could be arranged in the form of an array.…”

Section: Introductionmentioning

confidence: 99%

A Novel Data Reduction Approach for Structural Health Monitoring Systems

Bolandi

Lajnef

Jiao

et al. 2019

Sensors

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The massive amount of data generated by structural health monitoring (SHM) systems usually affects the system’s capacity for data transmission and analysis. This paper proposes a novel concept based on the probability theory for data reduction in SHM systems. The beauty salient feature of the proposed method is that it alleviates the burden of collecting and analysis of the entire strain data via a relative damage approach. In this methodology, the rate of variation of strain distributions is related to the rate of damage. In order to verify the accuracy of the approach, experimental and numerical studies were conducted on a thin steel plate subjected to cyclic in-plane tension loading. Circular holes with various sizes were made on the plate to define damage states. Rather than measuring the entire strain response, the cumulative durations of strain events at different predefined strain levels were obtained for each damage scenario. Then, the distribution of the calculated cumulative times was used to detect the damage progression. The results show that the presented technique can efficiently detect the damage progression. The damage detection accuracy can be improved by increasing the predefined strain levels. The proposed concept can lead to over 2500% reduction in data storage requirement, which can be particularly important for data generation and data handling in on-line SHM systems.

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“…Quasi-static strain ILs were also used to localize the damage in bridges without a baseline finite element model, and the feasibility, effectiveness and limitations of this approach were investigated both numerically and experimentally [25]. Furthermore, the relationship between the damage region and the area of the strain IL was investigated and subsequently used to localize the damage in a continuous beam bridge [26].…”

Section: Introductionmentioning

confidence: 99%

Damage Localization of Beam Bridges Using Quasi-Static Strain Influence Lines Based on the BOTDA Technique

Liu

Zhang

2018

Sensors

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The diagnosis of damage in a bridge superstructure using quasi-static strain influence lines (ILs) is promising. However, it is challenging to accurately localize the damage in a bridge superstructure due to limited numbers of strain IL measurement points and inconsistencies between the loading conditions before and after damage. To address the above issues, the Brillouin optical time domain analysis (BOTDA) technique is first applied to bridge damage localization using quasi-static strain ILs, and the number of strain IL measurement points is substantially increased. Additionally, a damage localization index based on quasi-static strain ILs that is independent of differences in the loading conditions before and after damage is proposed to localize damage in the superstructure of a beam bridge. Finally, the effectiveness of the proposed method is demonstrated through both numerical analysis and measured data from a quasi-static test of a model bridge.

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Damage identification method for continuous girder bridges based on spatially-distributed long-gauge strain sensing under moving loads

Cited by 44 publications

References 18 publications

Dynamic and quasi-static signal separation method for bridges under moving loads based on long-gauge FBG strain monitoring

Dynamic and quasi-static signal separation method for bridges under moving loads based on long-gauge FBG strain monitoring

A Novel Data Reduction Approach for Structural Health Monitoring Systems

Damage Localization of Beam Bridges Using Quasi-Static Strain Influence Lines Based on the BOTDA Technique

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