A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Non-modal vibration-based methods for bridge damage identification
Many methods of damage identification in bridge structures have focused on the use of numerical models, modal parameters or non-destructive damage tests as a means of condition assessment. These techniques can often be very effective but can also suffer from specific pitfalls such as, numerical model calibration issues for non-linear and inelastic behaviour, modal parameter sensitivity to environmental and operational conditions and bridge usage restrictions for non-destructive testing. This paper covers alternative approaches to damage identification of bridge structures using empirical parameters applied to measured vibration response data obtained from two field experiments of progressively damaged bridges subjected to ambient and vehicle-induced excitation, respectively. Numerous non-modal vibration-based damage features are detailed and selected for the assessment of either the ambient or vehicle-induced excitation data based on their inherent properties. The results of the application to two real bridges, one under ambient vibration and the other of forced vibration, demonstrate the robustness of the proposed damage features for damage identification using measurements of ambient and vehicle excitations. Moreover, this investigation has demonstrated that the novel empirical vibration parameters assessed are suitable for damage detection, localisation and quantification. CAV
cumulative absolute velocity
CADcumulative absolute displacement
DVIdistributed vibration intensity
MCVImean cumulative vibration intensity
IVIinstantaneous vibration intensity
AIVIAmalgamated instantaneous vibration intensity
EMDempirical mode decomposition
ICEEMDANimproved complete ensemble empirical mode decomposition with adaptive noise
HHTHilbert–Huang Transform
IMFintrinsic mode functions
MCDminimum covariance determinate
MSDmahalanobis squared distance
MTSMahalanobis Taguchi system
Non-modal vibration-based methods for bridge damage identification
Many methods of damage identification in bridge structures have focused on the use of numerical models, modal parameters or non-destructive damage tests as a means of condition assessment. These techniques can often be very effective but can also suffer from specific pitfalls such as, numerical model calibration issues for non-linear and inelastic behaviour, modal parameter sensitivity to environmental and operational conditions and bridge usage restrictions for non-destructive testing. This paper covers alternative approaches to damage identification of bridge structures using empirical parameters applied to measured vibration response data obtained from two field experiments of progressively damaged bridges subjected to ambient and vehicle-induced excitation, respectively. Numerous non-modal vibration-based damage features are detailed and selected for the assessment of either the ambient or vehicle-induced excitation data based on their inherent properties. The results of the application to two real bridges, one under ambient vibration and the other of forced vibration, demonstrate the robustness of the proposed damage features for damage identification using measurements of ambient and vehicle excitations. Moreover, this investigation has demonstrated that the novel empirical vibration parameters assessed are suitable for damage detection, localisation and quantification. CAV
cumulative absolute velocity
CADcumulative absolute displacement
DVIdistributed vibration intensity
MCVImean cumulative vibration intensity
IVIinstantaneous vibration intensity
AIVIAmalgamated instantaneous vibration intensity
EMDempirical mode decomposition
ICEEMDANimproved complete ensemble empirical mode decomposition with adaptive noise
HHTHilbert–Huang Transform
IMFintrinsic mode functions
MCDminimum covariance determinate
MSDmahalanobis squared distance
MTSMahalanobis Taguchi system
Non-modal vibration-based methods for bridge damage identification
Delgadillo, Rick M. (author) / Casas, Joan R. (author)
Structure and Infrastructure Engineering ; 16 ; 676-697
2020-04-02
22 pages
Article (Journal)
Electronic Resource
English
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