Simultaneous identification method of damage and vehicle parameters on bridges utilizing long-gauge strain influence line under moving vehicle loads

Chen, Shizhi; Wu, Gang; Wu, Bitao

doi:10.1117/12.2257403

Cited by 3 publications

(11 citation statements)

References 12 publications

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“…Moreover, the coupling effect of these two factors was not discovered. These findings proved these methods’ reliability in actual stochastic traffic flow to some degree, which accords with the findings in previous works [ 24 , 25 , 26 , 27 , 28 ]. Among three methods, M2 behaves the best, whose results remained stable under various speeds and road surface roughness.…”

Section: Numerical Simulationsupporting

confidence: 92%

“…Through analyzing the feature of macro-strain influence line response (Equation (5)), Chen et al [ 28 ] realized that Equation (5) is a second order function of x only when x is between x A and x B . As a result, the second order difference of macro-strain influence line response (SODM) is derived as damage index:

…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…All their theoretical foundations come from macro-strain influence line response. One evident difference among them is that methods proposed by Wu et al [ 26 ] and Hong et al [ 27 ] need to adopt an approximation for damage extent estimation because intact condition reference of the structure is hard to get, while the method proposed by Chen et al [ 28 ] has no need. Except this, the difference among their characteristics cannot be revealed merely based on their theoretical backgrounds.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Firstly, in the numerical simulation, three different typical vehicle types are considered to investigate its influence. For brevity, the methods proposed by Wu et al [ 26 ], Hong et al [ 27 ] and Chen et al [ 28 ] are represented by M1, M2 and M3. The corresponding damage indexes of three methods MIE, IMIL and SODM under three vehicle types are displayed in Figure 14 .…”

Section: Numerical Simulationmentioning

confidence: 99%

“…Therefore, this paper conducts a strict comparison on three representative damage detection methods based on long-gauge FBG. The methods employed in this study were proposed by Wu et al [ 26 ], Hong et al [ 27 ] and Chen et al [ 28 ]. For better comparison, these methods’ formats were firstly reformulated and unified.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Study of Damage Detection Methods Based on Long-Gauge FBG for Highway Bridges

Chen

Feng

Han

2020

Sensors

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Damage detection of highway bridges is a significant part of structural heath monitoring. Conventional accelerometers or strain gauges utilized for damage detection have many shortcomings, especially their monitoring gauge length being too short, which would result in poor damage detection results. Under this circumstance, long-gauge FBG sensors as a novel optical sensor were developed to measure the macro-strain response of the structure. Based on this sensor, many derived damage detection methods were proposed. These methods exhibit various characteristics and have not been systematically compared. As a result, it is difficult to evaluate the state of the art and also leads to confusion for users to select. Therefore, a strict comparative study on three representative methods using long-gauge FBG was carried out. First, these methods’ theoretical backgrounds and formats were reformulated and unified for better comparison. Then, based on validated vehicle–bridge coupling simulation, these methods’ performances were tested through a series of parametric studies including various damage scenarios, vehicle types, speeds, road roughness and noise levels. The precision and reliability of three methods have been thoroughly studied and compared.

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Section: Numerical Simulationsupporting

confidence: 92%

…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Numerical Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparative Study of Damage Detection Methods Based on Long-Gauge FBG for Highway Bridges

Chen

Feng

Han

2020

Sensors

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Simultaneous identification of bridge damage and vehicle parameters based on bridge strain responses

Zhang

Feng

2022

Structural Contr & Hlth

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It would be beneficial to bridge design and maintenance if bridge damages and vehicle parameters could be identified. A simultaneous identification method for identifying bridge damage and vehicle parameters is proposed, considering more than one vehicle based on the output bridge responses. Bridge damage is localized in advance to decrease the bridge damage parameters. System parameters are identified by minimizing the error between the measured and identified responses. The proposed method is then verified with a numerical simulation, and the effects of environmental noise, damage degree, road surface roughness, and multiple damages on the identification accuracy are investigated, demonstrating the efficiency of the proposed method.

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Investigations of Ratio-Based Integrated Influence Lines as Features for Bridge-Damage Detection

Döring

Vogelbacher

Schneider³

et al. 2023

Infrastructures

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Prestressed concrete bridges built between 1960 and 1990 no longer meet today’s requirements due to loads and increasing mileage of higher loads that have increased since the bridges were designed. Prestressed concrete bridges are representative of Germany’s existing bridges. In order to deal with the large number of ageing bridges, recalculations and measurements for control as well as bridge monitoring are an important means of support. For both, it is important to find features that are damage-sensitive as well as robust against measurement noise, vehicle parameters (dynamics, geometry, weight, etc.) and environmental influences (temperature, wind, etc.). In this paper, we present features for damage detection based on the influence line, which are investigated with respect to the above requirements by using the analytical solution of the Euler–Bernoulli beam and more complex numerical bridge simulations. In this context, we restrict ourselves to the damage caused by bending stress. The features are calculated on the basis of single vehicle crossings over the bridge for the strain in the longitudinal direction as well as for the deflection of the bridge at different sensor positions. The ratio-based features are compared with raw data and natural frequencies in a classification. Additionally, the sensor positioning is considered. The investigations shows that the ratio-based integrated influence lines are equivalent to or better than the modal parameters, especially when noise and temperature changes are taken into account.

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Simultaneous identification method of damage and vehicle parameters on bridges utilizing long-gauge strain influence line under moving vehicle loads

Cited by 3 publications

References 12 publications

Comparative Study of Damage Detection Methods Based on Long-Gauge FBG for Highway Bridges

Comparative Study of Damage Detection Methods Based on Long-Gauge FBG for Highway Bridges

Simultaneous identification of bridge damage and vehicle parameters based on bridge strain responses

Investigations of Ratio-Based Integrated Influence Lines as Features for Bridge-Damage Detection

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