4.7 Article

An inverse parallel genetic algorithm for the identification of skin/core debonding in honeycomb aluminium panels

Journal

STRUCTURAL CONTROL & HEALTH MONITORING
Volume 22, Issue 12, Pages 1426-1439

Publisher

JOHN WILEY & SONS LTD
DOI: 10.1002/stc.1756

Keywords

sandwich structures; debonding; honeycomb; parallel genetic algorithms; damage assessment

Funding

  1. CONICYT [CONICYT-PCHA/Magister Nacional/2013-221320691]
  2. Chilean National Fund for Scientific and Technological Development (Fondecyt) [11110046]

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Honeycomb sandwich structures are used in a wide variety of applications. Nevertheless, because of manufacturing defects or impact loads, these structures can experience imperfect bonding or debonding between the skin and the honeycomb core. Instances of debonding reduce the bending stiffness of the composite panel, which causes detectable changes in its vibration characteristics. This article presents a new methodology to identify debonded regions in aluminium honeycomb panels that uses an inverse algorithm based on parallel genetic algorithms. The honeycomb panels are modelled with finite elements using a simplified three-layer shell model. The adhesive layer between the skin and core is modelled using linear springs, with reduced rigidity for the debonded sectors. The algorithm is validated using experimental data from an aluminium honeycomb panel containing different damage scenarios. Copyright (c) 2015 John Wiley & Sons, Ltd.

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