Academic Journal
Long-Range Correlations and Natural Time Series Analyses from Acoustic Emission Signals
| العنوان: | Long-Range Correlations and Natural Time Series Analyses from Acoustic Emission Signals |
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| المؤلفون: | Leandro Ferreira Friedrich, Édiblu Silva Cezar, Angélica Bordin Colpo, Boris Nahuel Rojo Tanzi, Mario Sobczyk, Giuseppe Lacidogna, Gianni Niccolini, Luis Eduardo Kosteski, Ignacio Iturrioz |
| المصدر: | Applied Sciences, Vol 12, Iss 4, p 1980 (2022) |
| بيانات النشر: | MDPI AG, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
| مصطلحات موضوعية: | acoustic emission, long-range correlations, natural time analysis, heterogeneous materials, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
| الوصف: | This work focuses on analyzing acoustic emission (AE) signals as a means to predict failure in structures. There are two main approaches that are considered: (i) long-range correlation analysis using both the Hurst (H) and the detrended fluctuation analysis (DFA) exponents, and (ii) natural time domain (NT) analysis. These methodologies are applied to the data that were collected from two application examples: a glass fiber-reinforced polymeric plate and a spaghetti bridge model, where both structures were subjected to increasing loads until collapse. A traditional (AE) signal analysis was also performed to reference the study of the other methods. The results indicate that the proposed methods yield reliable indication of failure in the studied structures. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2076-3417 28405498 |
| Relation: | https://www.mdpi.com/2076-3417/12/4/1980; https://doaj.org/toc/2076-3417 |
| DOI: | 10.3390/app12041980 |
| URL الوصول: | https://doaj.org/article/545b837d8d284054987a869640c4f083 |
| رقم الانضمام: | edsdoj.545b837d8d284054987a869640c4f083 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20763417 28405498 |
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| DOI: | 10.3390/app12041980 |