2013
DOI: 10.1016/j.engstruct.2013.05.010
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Rehabilitation assessment of a centenary steel bridge based on modal analysis

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Cited by 18 publications
(8 citation statements)
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“…For illustrative purposes, one set of the five strain and acceleration responses of the controlled traffic test, covering data before and after the truck entered the bridge at the speed of 20 km/h, is depicted in Figure 4. In comparison with large-scale bridges, where the root mean square (RMS) acceleration responses are usually around 0.05 m/s 2 , [42][43][44][45][46] the acceleration responses captured on this bridge are about 5 to 10 times smaller. This is reasonable considering a higher stiffness of this bridge compared with those more flexible bridges.…”
Section: Controlled Traffic Testmentioning
confidence: 77%
“…For illustrative purposes, one set of the five strain and acceleration responses of the controlled traffic test, covering data before and after the truck entered the bridge at the speed of 20 km/h, is depicted in Figure 4. In comparison with large-scale bridges, where the root mean square (RMS) acceleration responses are usually around 0.05 m/s 2 , [42][43][44][45][46] the acceleration responses captured on this bridge are about 5 to 10 times smaller. This is reasonable considering a higher stiffness of this bridge compared with those more flexible bridges.…”
Section: Controlled Traffic Testmentioning
confidence: 77%
“…Although this assumption may seem drastic, one may think of it as replacing the stochastic dependence between and by deterministic dependencies between their relevant moments [22]. Following this assumption and assigning independent prior distributions for and , we have (4) where denotes the expectation operator with respect to the joint distribution of and . Thus, in order to maximize the free energy , we have to reduce the KL divergences between the approximating and prior distributions and simultaneously increase the expected log conditional likelihood.…”
Section: Variational Bayesmentioning
confidence: 99%
“…They are directly related to the mass and stiffness distributions, which are influenced by changes in support and continuity conditions as well as material properties. Identification of modal parameters has become a standard tool for model updating [1], structural control [2], damage detection [3] and condition assessment [4].…”
Section: Introductionmentioning
confidence: 99%
“…These techniques exploit ambient acceleration records to extract the modal features of the system, namely, the natural frequencies, mode shapes and damping ratios. 4,5 The impact of these techniques on the monitored structures is kept minimal, and plenty of successful applications to diverse historic structures can be found in the literature, including bridges, 6,7 towers, 8,9 churches 10 and buildings. 11,12 Given that the modal features depend upon the stiffness, mass distribution and boundary conditions of the structure, damage detection through OMA can be performed by tracking variations in the identified modal parameters.…”
Section: Introductionmentioning
confidence: 99%