Abstract

The identification of damage in a bridge from changes in its vibrational behavior is an inverse problem of important practical value. Significant advances have been obtained on this topic in the last two-three decades, both from the theoretical and applied point of view. One of the main problems when dealing with the assessment of vibration based damage identification methods is the lack of experimental data recorded on real damaged structures. Due to this, a large number of damage identification algorithms are tested using data simulated by numerical models. The availability of data recorded on a damaged bridge before its demolition gave the authors the uncommon chance to verify the sensitivity and reliability of the IDDM basing on data recorded on a real structure. Specifically data recorded on a reinforced concrete single-span supported bridge in the Municipality of Dogna (Friuli, Italy) were used to apply the damage localization algorithm. Harmonically forced tests were conducted after imposing artificial, increasing levels of localized damage. In this paper the sensitivity of the method is discussed with respect to the number of instrumented locations and to the severity of the damage scenarios considered

Highlights

  • The interest in evaluating the structural health condition basing on non-destructive vibrational methods has significantly increased over the past few decades

  • The quality of the damage localization worsens with respect to using a linear interpolation to estimate the frequency response functions (FRFs)

  • This can be attributed to discontinuities in the reconstructed FRFs due to the extension of the local approximation of the FRFs from the narrow neighborhoods of the natural frequencies to the whole range 0-50 Hz

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Summary

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Experimental verification of the Interpolation Method on a real damaged bridge This content has been downloaded from IOPscience. Please scroll down to see the full text. Ser. 628 012045 (http://iopscience.iop.org/1742-6596/628/1/012045) View the table of contents for this issue, or go to the journal homepage for more. Download details: IP Address: 158.110.39.160 This content was downloaded on 24/11/2015 at 16:33 Please note that terms and conditions apply

Introduction
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