Using the unit influence line of a bridge to track changes in its condition

Heitner, Barbara; Schoefs, Franck; O’Brien, Eugene J.; Žnidarič, Aleš; Yalamas, Thierry

doi:10.1007/s13349-020-00410-7

Cited by 21 publications

(3 citation statements)

References 24 publications

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“…The equivalent deflection is the equivalent response to the loading from all axles present on the bridge at a given time. To remove the effect of axle configuration, an influence line (IL) is calculated using an iterative procedure [12]. In this case, the IL is the equivalent deflection response to an axle of unit weight -in effect, the response is broken up into components corresponding to each axle load.…”

Section: Resultsmentioning

confidence: 99%

Bridge Health Monitoring Using Acceleration Measurements and the Concept of Equivalent Fixed-Point Deflection

Obrien,

Wang,

Huseynov

et al. 2023

10th ECCOMAS Thematic Conference on Smart Structures and Materials

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This paper proposes the concept of structural health monitoring of bridges using measured accelerations on the bridge and equivalent fixed-point deflections. Moving Force Identification is used to infer applied forces from measured accelerations. Given the statistical repeatability in the weights of heavy vehicles at a given site, any inferred change in mean weight can be used as a damage indicator. Equivalent fixed-point deflection (or force) was found to be computationally stable. In effect, this focuses on the static part of the signal -the measured acceleration is being transformed into what is essentially a static parameter.Using the equivalent deflection from a group of trains without knowing their bogie weights, the normalised influence line is calculated and used as an indicator of structural condition. Simulations show that the equivalent deflection contains only a small dynamic component. As the deflection is the result of multiple applied loads, an influence line is found from the deflection, i.e., the component corresponding to a single point load. Using acceleration data from a simply supported railway bridge, the shapes of equivalent deflection influence lines are obtained from different groups of trains and show very good repeatability. Subsequently, this highly repeatable influence line is proposed as an indicator of certain types of bridge damage.

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Section: Resultsmentioning

confidence: 99%

Bridge Health Monitoring Using Acceleration Measurements and the Concept of Equivalent Fixed-Point Deflection

Obrien,

Wang,

Huseynov

et al. 2023

10th ECCOMAS Thematic Conference on Smart Structures and Materials

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“…One approach, described by OBrien et al (2006), uses the same error function as Moses' algorithm (Equation 3 & Equation 4) and, assuming the axle weights to be known, selects the influence line ordinates as those which minimize that error function. Heitner et al (2020) have shown that the relative axle weights do not need to be known and that both these and the influence line can be found using an iterative process, but not the GVW. Znidaric et al (2017) also calculated the relative axle weights and normalised influence line using a non-linear optimisation, using high number of random vehicles from the traffic flow, reducing the effect of dynamic responses.…”

Section: Extraction Of Influence Lines From Random Vehicle Responsesmentioning

confidence: 99%

Monitoring the Condition of Narrow Bridges Using Data from Rotation-Based and Strain-Based Bridge Weigh-in-Motion Systems

et al. 2022

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This study investigates the concept that, when localised bridge superstructure damage is present, the weights of passing vehicles inferred from a rotation-based Bridge Weigh-in-Motion (B-WIM) system will deviate from those predicted by a strain-based B-WIM system. Rotation measurements were gathered from a 5.4 m simply-supported laboratory model bridge crossed repeatedly by a 4-axle model vehicle. Damage was incorporated by bolting stiffening plates onto localised sections of the test bridge. This 'negative damage' concept, consisting of local increases in stiffness, allows several damage scenarios to be investigated on the test bridge. The experimental results show that when negative damage is present, rotation-calculated Gross Vehicle Weights decrease while strain-calculated Gross Vehicle Weights remain unchanged. It is also shown that the approximate location of damage can be identified.

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“…Bridge IL is estimated using the adaptive B-spline basis dictionary and sparse regularisation technique (Chen et al, 2019). With the relative axle loads of trucks passing overhead, the shape of instantaneous IL is obtained through an iterative algorithm (Heitner et al, 2020). A method of identifying the stress IL is proposed by using the least-squares solution and weighted moving average (Chen et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Eliminating the Influence of Axle Parameters in Influence Line Identification

Zhang

Liu

et al. 2021

BJRBE

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Accurate and rapid acquisition of the strain influence line of continuous beam plays a positive role in promoting the wide application of structural health monitoring. The structural response obtained from the sensors is used to estimate the strain influence line. However, most estimation methods ignore the influence of axle parameters on the structural response, resulting in a large error in identifying the strain influence line. This paper presents a method for eliminating the influence of axle parameters of moving vehicles on strain responses to estimate the strain influence line of continuous beams based on the long-gauge strain sensing technology. By analysing the mechanical characteristics of the multi-span continuous beam, a theoretical strain influence line expression is first established to obtain the strain influence line of the continuous beam accurately. The structural response only caused by axle weight, obtained by eliminating the influence of axle parameters, is then estimated for calibrating the theoretical strain influence line. Finally, different lane tests are also considered to solve the influence of different transverse position relations on the proposed method between the monitoring unit and the lane. Finally, numerical simulations are adopted to illustrate the effectiveness of the proposed identification method by simulating the strain time histories induced by a multi-axle vehicle. A field test also demonstrates the validity and feasibility of this method.

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Using the unit influence line of a bridge to track changes in its condition

Cited by 21 publications

References 24 publications

Bridge Health Monitoring Using Acceleration Measurements and the Concept of Equivalent Fixed-Point Deflection

Bridge Health Monitoring Using Acceleration Measurements and the Concept of Equivalent Fixed-Point Deflection

Monitoring the Condition of Narrow Bridges Using Data from Rotation-Based and Strain-Based Bridge Weigh-in-Motion Systems

Eliminating the Influence of Axle Parameters in Influence Line Identification

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