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Numerical and experimental study on monitoring coal cracks with PZT sensor
The rupture of coal pillar can lead to spontaneous combustion or collapse of goaf, which endangers the safety of workers. To explore the relationship between the crack depth of the coal structure and the signal received by the piezoelectric ceramic sensor, the output data of coal samples were analyz...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849455/ https://www.ncbi.nlm.nih.gov/pubmed/36653460 http://dx.doi.org/10.1038/s41598-023-28199-7 |
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author | Zhu, Chengyao Li, Runzhi Gao, Ke Tang, Zhiqiang Liu, Zeyi Shi, Lianzeng |
author_facet | Zhu, Chengyao Li, Runzhi Gao, Ke Tang, Zhiqiang Liu, Zeyi Shi, Lianzeng |
author_sort | Zhu, Chengyao |
collection | PubMed |
description | The rupture of coal pillar can lead to spontaneous combustion or collapse of goaf, which endangers the safety of workers. To explore the relationship between the crack depth of the coal structure and the signal received by the piezoelectric ceramic sensor, the output data of coal samples were analyzed by using the piezoelectric effect, combined with the experiment and ABAQUS simulation. Based on the signal amplitude, the output signal characteristics of the coal model with different crack depths were analyzed, and the evaluation index of coal crack cracking degree (D(c)) was defined. The results show that the piezoelectric fluctuation method can effectively identify the local cracks of coal. When the distance between the lead Piezoelectric Transducer (PZT) patch and crack position is constant, the amplitude of the PZT patch output signal will decay with the deepening of the crack depth, while the value of increases with the increase of crack depth. This study provides a theoretical basis for mine disaster prevention and control. |
format | Online Article Text |
id | pubmed-9849455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98494552023-01-20 Numerical and experimental study on monitoring coal cracks with PZT sensor Zhu, Chengyao Li, Runzhi Gao, Ke Tang, Zhiqiang Liu, Zeyi Shi, Lianzeng Sci Rep Article The rupture of coal pillar can lead to spontaneous combustion or collapse of goaf, which endangers the safety of workers. To explore the relationship between the crack depth of the coal structure and the signal received by the piezoelectric ceramic sensor, the output data of coal samples were analyzed by using the piezoelectric effect, combined with the experiment and ABAQUS simulation. Based on the signal amplitude, the output signal characteristics of the coal model with different crack depths were analyzed, and the evaluation index of coal crack cracking degree (D(c)) was defined. The results show that the piezoelectric fluctuation method can effectively identify the local cracks of coal. When the distance between the lead Piezoelectric Transducer (PZT) patch and crack position is constant, the amplitude of the PZT patch output signal will decay with the deepening of the crack depth, while the value of increases with the increase of crack depth. This study provides a theoretical basis for mine disaster prevention and control. Nature Publishing Group UK 2023-01-18 /pmc/articles/PMC9849455/ /pubmed/36653460 http://dx.doi.org/10.1038/s41598-023-28199-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhu, Chengyao Li, Runzhi Gao, Ke Tang, Zhiqiang Liu, Zeyi Shi, Lianzeng Numerical and experimental study on monitoring coal cracks with PZT sensor |
title | Numerical and experimental study on monitoring coal cracks with PZT sensor |
title_full | Numerical and experimental study on monitoring coal cracks with PZT sensor |
title_fullStr | Numerical and experimental study on monitoring coal cracks with PZT sensor |
title_full_unstemmed | Numerical and experimental study on monitoring coal cracks with PZT sensor |
title_short | Numerical and experimental study on monitoring coal cracks with PZT sensor |
title_sort | numerical and experimental study on monitoring coal cracks with pzt sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849455/ https://www.ncbi.nlm.nih.gov/pubmed/36653460 http://dx.doi.org/10.1038/s41598-023-28199-7 |
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