Special Issue "Damage Detection and Model Updating of Bridges Using Vibration Measurements"
A special issue of Infrastructures (ISSN 2412-3811).
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 4402
Damage detection is one of the main issues that bridge structural health monitoring (SHM) is concerned with. This can be performed through the analysis of structural response measures, collected from organized SHM campaigns. Damage detection based on monitored data is a rather complex procedure. This complexity is associated, among other things, with the impact that environmental and operational variations (EOVs—temperature, traffic, wind, humidity) impose on the SHM data over time. In many cases, the aforementioned EOVs’ impact has been observed to mask the variation of SHM signals, which can be associated with the existence of damage, leading to uncertainties (i.e., false alarms) during damage detection.
Another important issue is the need for model updating, which arises in the process of constructing a theoretical model of a structure for the purpose of predicting structural damage. The location and size of damage can be inferred by monitoring the reduction in stiffness properties of elements or substructures constituting the finite element model of the structure. The general problem of structural model updating involves the selection of the model from a parameterized class of models that provides the best fit to the measured dynamic data as judged by an appropriately selected measure of fit. The parameters involved in the updating are primarily structural stiffness and mass properties, including boundary conditions as well as fixity conditions at the structural joints.
In past years, several studies have been devoted to reconciling finite element models with measured time history or modal data. Each method has its own advantages and shortcomings, and there is no acceptable methodology for successfully treating the model updating problem. A modal-based model updating methodology was recently developed that combines available mode-shape expansion techniques with updating capabilities for predicting both the location and size of errors in the pretest finite element model of a structure. Other model updating methodologies based on various mode-shape expansions can be found in several research efforts. Applications of these methodologies were focused on structural damage detection and structural health monitoring. These techniques use the modeshape components as unknowns to be determined by the data, and have the advantage of avoiding the problem of identifying the correspondence between model and measured modes. Moreover, the computation of modal frequencies and modeshapes of the finite element model is avoided.
The previous topics are a frame to produce methodologies for damage detection and model update, based on vibration measurements.
Dr. Vassilios Lekidis
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- damage detection
- structural health monitoring (SHM)
- model updating