2020
DOI: 10.1007/s11709-020-0624-5
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Multiple damage detection in complex bridges based on strain energy extracted from single point measurement

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Cited by 10 publications
(5 citation statements)
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References 39 publications
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“…Arabha and the Daneshjoo in their research [17] for the first time used modal strain energy (DI) and curvature damage factor (CDF) methods to identify the support damage of arched bridges. The results show that the support damage has caused the appearance of new vibration modes in the examined bridge and the appearance of these modes is a confirmation of the support damage.…”
Section: Modal Strain Energy Methodsmentioning
confidence: 99%
“…Arabha and the Daneshjoo in their research [17] for the first time used modal strain energy (DI) and curvature damage factor (CDF) methods to identify the support damage of arched bridges. The results show that the support damage has caused the appearance of new vibration modes in the examined bridge and the appearance of these modes is a confirmation of the support damage.…”
Section: Modal Strain Energy Methodsmentioning
confidence: 99%
“…In any case, there are no uniform standards for evaluating structural performance. You can choose from a variety of performance indices such as stiffness (Chen et al, 2018), compliance (Ranaivomiarana et al, 2019), strain energy (Arabha Najafabadi et al, 2020) and static displacement. Manipulation of the gathered works establishes the objective function.…”
Section: Formulation Of Optimization Problemmentioning
confidence: 99%
“…, 2018), compliance (Ranaivomiarana et al. , 2019), strain energy (Arabha Najafabadi et al. , 2020) and static displacement.…”
Section: Components Of Optimization Phenomenonmentioning
confidence: 99%
“…Pooya et al [15] used the discrepancies between the modal curvature obtained from the impaired structure and the computed modal curvature as an indicator to detect damage locations. In addition, modal strain energy (MSE) has been employed for analyzing the damage condition of complex bridges [16] and a jacket offshore platform [17].…”
Section: Introductionmentioning
confidence: 99%