According to recent works, entropy measures, and more specifically, spectral entropies, are emerging as an efficient method for the damage assessment of both mechanical systems and civil structures. Specifically, the occurrence of structural system alterations (intended in this work as stiffness reduction) can be detected as a localized change in the signal entropy. Here, the Wiener Entropy (also known as the Spectral Flatness) of strain measurements is proved as a viable tool for single and multiple damage assessment including damage detection, localization, and severity assessment. A case study from oil & gas engineering, i.e., a finite element model of a buried steel pipeline, is utilized for this aim.
Detection and Localization of Multiple Damages through Entropy in Information Theory / Ceravolo, Rosario; Civera, Marco; Lenticchia, Erica; Miraglia, Gaetano; Surace, Cecilia. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 11:13(2021), p. 5773. [10.3390/app11135773]
Detection and Localization of Multiple Damages through Entropy in Information Theory
Ceravolo, Rosario;Civera, Marco;Lenticchia, Erica;Miraglia, Gaetano;Surace, Cecilia
2021
Abstract
According to recent works, entropy measures, and more specifically, spectral entropies, are emerging as an efficient method for the damage assessment of both mechanical systems and civil structures. Specifically, the occurrence of structural system alterations (intended in this work as stiffness reduction) can be detected as a localized change in the signal entropy. Here, the Wiener Entropy (also known as the Spectral Flatness) of strain measurements is proved as a viable tool for single and multiple damage assessment including damage detection, localization, and severity assessment. A case study from oil & gas engineering, i.e., a finite element model of a buried steel pipeline, is utilized for this aim.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2909092