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Impact identification using nonlinear dimensionality reduction and supervised learning

  • October 3, 2019
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Smart Materials and Structures Vol. 28, No. 11, pp. 115005, 2019 V. Meruane, C. Espinoza, E. Lopez Droguett, A. Ortiz-Bernardin Abstract Real-time monitoring systems that can automatically locate and identify impacts as they occur have become increasingly attractive for ensuring safety and preventing catastrophic accidents in aerospace structures. In most cases, a set of piezoelectric

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Accepted Paper: Modal Strain Energy-Based Debonding Assessment of Sandwich Panels Using a Linear Approximation with Maximum Entropy

  • November 21, 2017
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Paper Accepted for Publication in Entropy V. Meruane, Matias Lasen, E. López Droguett, A. Ortiz-Bernardin, “Modal strain energy-based debonding assessment of sandwich panels using a linear approximation with maximum entropy.” ABSTRACT Sandwich structures are very attractive due to their high strength at a minimum weight, and, therefore, there has been a rapid increase in their

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Modal strain energy-based debonding assessment of sandwich panels using a linear approximation with maximum entropy

  • November 21, 2017
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Entropy Vol. 19, No. 11, pp. 619, 2017 V. Meruane, M. Lasen, E. López Droguett, A. Ortiz-Bernardin Abstract Sandwich structures are very attractive due to their high strength at a minimum weight, and, therefore, there has been a rapid increase in their applications. Nevertheless, these structures may present imperfect bonding or debonding between the skins and

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