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A maximum entropy supervised learning algorithm for the identification of skin/core debonding in honeycomb aluminium panels

  • April 11, 2020
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The Twelfth International Conference on Computational Structures Technology (CST2014) 2 – 5 September 2014, Naples, Italy Proceedings of CST2014 Civil-Comp Press, Stirlingshire, UK, Paper 120, 2014 V. Meruane, V. del Fierro and A. Ortiz-Bernardin Abstract Honeycomb sandwich structures are used in a wide variety of applications. Nevertheless, due to manufacturing defects or impact loads, these

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A maximum entropy approach to assess debonding in honeycomb aluminum plates

  • May 23, 2014
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Entropy Vol. 16, No. 5, pp. 2869-2889, 2014 V. Meruane, V. del Fierro, A. Ortiz-Bernardin Abstract Honeycomb sandwich structures are used in a wide variety of applications. Nevertheless, due to manufacturing defects or impact loads, these structures can be subject to imperfect bonding or debonding between the skin and the honeycomb core. The presence of

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