2019
DOI: 10.1002/stc.2432
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Placement of distributed crack sensor on I‐shaped steel girders of medium‐span bridges, using available field data

Abstract: Summary It is critical to detect cracks in steel girders of bridges before they have the potential to compromise the integrity of the structure. Both distributed binary sensors and distributed fiber optic sensors are capable of detecting cracks that are wider than 0.2 mm in steel girders. The objective of this paper is to report the optimum placement of these sensors on the girder to detect smallest possible length of the crack. In this work, the optimized placement of crack sensors was studied using FEM of tw… Show more

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Cited by 3 publications
(1 citation statement)
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“…Tohidi and Sharifi [16] used an artificial neural network system to predict the buckling deformation strength of Ibeams in the inelastic range. Zhou, Glisic, and Raeisi et al used distributed sensors (smart film, optical fiber sensors, and binary crack sensors, respectively) to monitor the health status of the structure [17][18][19]. Although many of these techniques are highly accurate and efficient, most are computationally expensive.…”
Section: Introductionmentioning
confidence: 99%
“…Tohidi and Sharifi [16] used an artificial neural network system to predict the buckling deformation strength of Ibeams in the inelastic range. Zhou, Glisic, and Raeisi et al used distributed sensors (smart film, optical fiber sensors, and binary crack sensors, respectively) to monitor the health status of the structure [17][18][19]. Although many of these techniques are highly accurate and efficient, most are computationally expensive.…”
Section: Introductionmentioning
confidence: 99%