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Structural Health Monitoring of a Metallic Sandwich Panel by the Method of Virtual Forces

Author(s):


Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 6, v. 8
Page(s): 537-553
DOI: 10.1177/1475921709341010
Abstract:

A structural health monitoring system for assessing thermal damage in a metallic sandwich panel was developed in this article. The method of virtual forces was utilized to detect, locate, and quantify damage. The method assumes that a damaged structural response is a summation of the undamaged response and the response from an effective forcing function, which represents the effects of the material damage. The effective forcing function, or virtual force, is an estimate of the forces that the damage mechanism exerts on the undamaged structure. Virtual forces were shown to detect changes in the mass, stiffness, and damping matrices in a lumped parameter dynamic model. A finite element model of a mechanically attached sandwich metallic panel was used to detect a stiffness loss at different locations between two sensor locations. These results were then compared with experimental results involving thermal debond between the face sheet and core of an Al—Al honeycomb panel. Virtual forces indicated there was damage associated with magnitude and frequency shifts in the frequency response function measurements made on the damaged panel. Damage was located relative to the sensor/actuator measurement locations. Damage that was not adjacent to measurement locations was less accurately located and quantified. Variability in producing localized thermal debond using an acetylene torch was also apparent in the virtual force estimates. The virtual force estimates also indicated that damage was spread over several measurement locations because highly localized thermal debond was difficult to produce.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/1475921709341010.
  • About this
    data sheet
  • Reference-ID
    10561642
  • Published on:
    11/02/2021
  • Last updated on:
    19/02/2021
 
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