Abstract
In recent years, structural health monitoring (SHM) has received increasing interest from both research and professional engineering communities. This is due to the limitations related to the use of traditional methods based on visual inspection for a rapid and effective assessment of structures and infrastructures when compared with the great potential offered by newly developed automatic systems. Most of these kinds of systems allow the continuous estimation of structural modal properties that are strictly correlated to the mechanical characteristics of the monitored structure. These can change as a result of material deterioration and structural damage related to earthquake shaking. Furthermore, a suitable configuration of a dense sensor network in a real-time monitoring system can allow to detect and localize structural and non-structural damage by comparing the initial and a final state of the structure after a critical event, such as a relevant earthquake. In this paper, the modal curvature evaluation method, used for damage detection and localization on framed structures, considering the mode curvature variation due to strong earthquake shaking, is further developed. The modified approach is validated by numerical and experimental case studies. The extended procedure, named “Curvature Evolution Method” (CEM), reduces the required computing time and the uncertainties in the results. Furthermore, in this work, an empirical relationship between curvature variation and damage index has been defined for both bare and infilled frames.
Highlights
The aim of this paper is the upgrade of an existing method for damage detection and localization on framed structures based on the evaluation of the modal curvature evolution over time [1], reducing the number of steps of the method from three to two significant time instants that must be evaluated to correctly apply the damage detection method, reducing uncertainties associated to all the variables included within the procedure and, as a consequence, the calculation time
Many dynamic dynamic identification identification techniques techniques are are based based on on the the evaluation evaluation of of Nowadays, many dynamic identification techniques are based onviscous the evaluation of changes of structural parameters changes of structural parameters changes ofpossible structural parameters to localize damage that has occurred on aa monitored structure during a critical to localize possible damage that has occurred on monitored structure during critical to localize possible damage that has occurred on a monitored structuredamage; during aaindeed, critical event
Mode curvature variations are strictly associated with structural event
Summary
In civil engineering SHM applications are becoming increasingly important since at global level a larger number of structures are subject to an advanced state of deterioration due to aging of materials or inadequate maintenance. In this regard, continuous monitoring systems can allow quick identification of structural defects and/or damage occurred, in order for effective maintenance programs for restoring optimal conditions and reducing direct and indirect costs to be planned efficiently. The maintenance program can be calibrated based on the real structural conditions, with a consequent reduction of intervention time and, at the same time, an increase in both safety and functionality of the building
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