Vibration-Based Health Monitoring of an Existing Truss Bridge Using Energy-Based Damping Evaluation

Mustafa, Samim; Matsumoto, Yasunao; Yamaguchi, Hiroki

doi:10.1061/(asce)be.1943-5592.0001159

Cited by 22 publications

(13 citation statements)

References 28 publications

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“…1. For LTI SDOF systems, the damping ratio (determined via logarithmic decrement method) is strictly negatively monotonically related to the variance parameter of data set U, defined in equation (8). 2.…”

Section: The Pddr Methodsmentioning

confidence: 99%

“…. ; x 0 N ) adhere to equation (8). Two significant points arise from the monotonic relation of function g to h: [31][32][33] This condition is further complicated by the fact that set parameters t max and v i are variables, which directly influences equation (6).…”

Section: Ds0mentioning

confidence: 99%

“…. ; x 0 N ) adhere to equation (8). Two significant points arise from the monotonic relation of function g to h:…”

Section: Ds0mentioning

confidence: 99%

“…It was concluded that a number of uncertainties are involved in accurate damping estimation. Mustafa et al 8 proposed an energy-based damping evaluation method. The results demonstrated it can largely enhance the accuracy and reliability of structural damage identification, even on a complex steel truss bridge.…”

Section: Introductionmentioning

confidence: 99%

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Probability distribution of decay rate: a statistical time-domain damping parameter for structural damage identification

Khoo

Wang

2018

Structural Health Monitoring

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This article proposes a novel vibration-based damage identification method, named the probability distribution of decay rate. By introducing a statistical framework, the probability distribution of decay rate method estimates the damage-induced changes in overall damping behaviour of a free-vibration dynamic system. Utilising free-vibration impulse response data, a one-dimensional data set of local maxima–minima points is constructed. A statistical analysis of this data set is then performed to derive damage-sensitive parameters. It is demonstrated that through the use of a statistical analysis framework, a number of enhancements are attained in terms of both robustness and leniency in estimating the significantly nonlinear property of overall damping. An impact hammer test is conducted in the laboratory to verify the efficacy of the proposed probability distribution of decay rate method. The test was performed on a scale-model steel Warren-truss bridge structure, subjected to bolt-connection failures. The comparison results between the probability distribution of decay rate method and the standard experimental modal analysis method confirm that the former is effective for damage identification of complex structures, particularly with real experimental data and steel-frame structure assemblies.

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Section: The Pddr Methodsmentioning

confidence: 99%

Section: Ds0mentioning

confidence: 99%

“…. ; x 0 N ) adhere to equation (8). Two significant points arise from the monotonic relation of function g to h:…”

Section: Ds0mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Probability distribution of decay rate: a statistical time-domain damping parameter for structural damage identification

Khoo

Wang

2018

Structural Health Monitoring

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“…The stabilization diagram was used to differentiate system modes from spurious modes. During this process, the modes with less than 1%, 5%, and 5% differences simultaneously in modal frequencies, modal damping ratios, and mode shapes, respectively, between the two consecutive system orders were considered as the stable modes (Mustafa et al, 2018). Based on the results of system identification, the initial FE model of the target bridge was manually updated to match the analytically evaluated modal frequencies and mode shapes with the corresponding experimental ones.…”

Section: Vibration Measurement and Calibration Of The Fe Modelmentioning

confidence: 99%

Determining the location of sensors for seismic damage detection in steel girder bridges with elastomeric bearings

Mustafa

Sekiya

Miki

2020

Journal of Vibration and Control

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In planning a bridge health monitoring with minimum sensors for long-term monitoring, it is necessary to accurately predict the bridge behavior including its nonlinearity and identify the damaged bridge components when a strong earthquake strikes. This article presents a methodology for the selection of sensors and their arrangement for detecting seismic damage in an in-service steel plate girder bridge system. In this study, a detailed span-based model was developed for the finite element simulation including the effect of the rubber bearing and piers, and the damage control by the side blocks. The finite element dynamic simulation was carried out with input earthquake acceleration to investigate the seismic behavior and grasp the damageable parts during an earthquake. Based on the results of finite element dynamic simulation, a fault tree analysis was carried out to reveal more about the bridge behavior, the failure modes, and the occurrence of damage. It was found that the side block, the bearing stiffener, and the horizontal bracing on the fixed side of the bridge are most important to be monitored for the evaluation of soundness of a plate girder bridge immediately after an earthquake. Finally, a sensor arrangement for the bridge was proposed based on the analysis results.

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Effect of Damage on Vibration Characteristics of Reinforced Concrete Deck Slabs in an Existing Steel Girder Bridge

Gohar

Lhamo

Matsumoto

et al. 2022

Lecture Notes in Civil Engineering

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Vibration-Based Health Monitoring of an Existing Truss Bridge Using Energy-Based Damping Evaluation

Cited by 22 publications

References 28 publications

Probability distribution of decay rate: a statistical time-domain damping parameter for structural damage identification

Probability distribution of decay rate: a statistical time-domain damping parameter for structural damage identification

Determining the location of sensors for seismic damage detection in steel girder bridges with elastomeric bearings

Effect of Damage on Vibration Characteristics of Reinforced Concrete Deck Slabs in an Existing Steel Girder Bridge

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