Multi-Source Information Monitoring Test of Fractured Rock Mass Destruction Characteristics and Sensitivity Analysis of Precursor Phenomena
The accuracy of the monitoring information is particularly important for exploring fractured rock mass deformation and failure mechanisms and precursor characteristics. Appropriate monitoring methods can not only timely and effectively reflect the failure laws of fractured rock masses but also play...
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MDPI AG
2022-01-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/15/2/538 |
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author | Qinghe Zhang Tianle Zheng Xiaorui Wang Zhiyuan Fang |
author_facet | Qinghe Zhang Tianle Zheng Xiaorui Wang Zhiyuan Fang |
author_sort | Qinghe Zhang |
collection | DOAJ |
description | The accuracy of the monitoring information is particularly important for exploring fractured rock mass deformation and failure mechanisms and precursor characteristics. Appropriate monitoring methods can not only timely and effectively reflect the failure laws of fractured rock masses but also play an early warning role. To explore more reasonable monitoring methods, uniaxial compression experiments and real-time non-destructive monitoring on prefabricated fractured rock specimens through DIC, AE, and IRT were conducted; the strain field, temperature field, ringing frequency, standard deviation, etc. were analyzed; and correlation between the three methods in the information of audience was explored. The results show the following. (1) The failure evolution process of fractured rock mass can be divided into four stages. DIC can detect the initiation and propagation of cracks near the fractures of the specimen at the earliest stages. (2) The order of occurrence of precursor phenomena in multi-source monitoring information is different, which is vertical strain field > shear strain field > horizontal strain field > temperature field > ringing times. (3) The dispersion degree of standard deviation of each field is obviously different; the infrared temperature field is greater, but the strain field and temperature field show the same trend. (4) There are obvious precursors before the specimen is on the verge of instability; acoustic emission detected two consecutive increases in the cumulative number of ringing before destruction, which means the most obvious precursors. The research results can provide a theoretical basis for the precursory information capture and damage early warning of the fractured rock mass destruction process. |
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format | Article |
id | doaj.art-451eef4d17ac4ffaa50366e422c34b99 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T01:33:27Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-451eef4d17ac4ffaa50366e422c34b992023-11-23T13:37:52ZengMDPI AGEnergies1996-10732022-01-0115253810.3390/en15020538Multi-Source Information Monitoring Test of Fractured Rock Mass Destruction Characteristics and Sensitivity Analysis of Precursor PhenomenaQinghe Zhang0Tianle Zheng1Xiaorui Wang2Zhiyuan Fang3State Key Laboratory Mine Response and Disaster Prevention and Control in Deep Coal Mine, Anhui University of Science and Technology, Huainan 232001, ChinaSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, ChinaSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, ChinaSchool of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, ChinaThe accuracy of the monitoring information is particularly important for exploring fractured rock mass deformation and failure mechanisms and precursor characteristics. Appropriate monitoring methods can not only timely and effectively reflect the failure laws of fractured rock masses but also play an early warning role. To explore more reasonable monitoring methods, uniaxial compression experiments and real-time non-destructive monitoring on prefabricated fractured rock specimens through DIC, AE, and IRT were conducted; the strain field, temperature field, ringing frequency, standard deviation, etc. were analyzed; and correlation between the three methods in the information of audience was explored. The results show the following. (1) The failure evolution process of fractured rock mass can be divided into four stages. DIC can detect the initiation and propagation of cracks near the fractures of the specimen at the earliest stages. (2) The order of occurrence of precursor phenomena in multi-source monitoring information is different, which is vertical strain field > shear strain field > horizontal strain field > temperature field > ringing times. (3) The dispersion degree of standard deviation of each field is obviously different; the infrared temperature field is greater, but the strain field and temperature field show the same trend. (4) There are obvious precursors before the specimen is on the verge of instability; acoustic emission detected two consecutive increases in the cumulative number of ringing before destruction, which means the most obvious precursors. The research results can provide a theoretical basis for the precursory information capture and damage early warning of the fractured rock mass destruction process.https://www.mdpi.com/1996-1073/15/2/538fractured rock massdigital image correlationacoustic emissioninfrared radiation temperaturemulti-source monitoringfailure precursor |
spellingShingle | Qinghe Zhang Tianle Zheng Xiaorui Wang Zhiyuan Fang Multi-Source Information Monitoring Test of Fractured Rock Mass Destruction Characteristics and Sensitivity Analysis of Precursor Phenomena Energies fractured rock mass digital image correlation acoustic emission infrared radiation temperature multi-source monitoring failure precursor |
title | Multi-Source Information Monitoring Test of Fractured Rock Mass Destruction Characteristics and Sensitivity Analysis of Precursor Phenomena |
title_full | Multi-Source Information Monitoring Test of Fractured Rock Mass Destruction Characteristics and Sensitivity Analysis of Precursor Phenomena |
title_fullStr | Multi-Source Information Monitoring Test of Fractured Rock Mass Destruction Characteristics and Sensitivity Analysis of Precursor Phenomena |
title_full_unstemmed | Multi-Source Information Monitoring Test of Fractured Rock Mass Destruction Characteristics and Sensitivity Analysis of Precursor Phenomena |
title_short | Multi-Source Information Monitoring Test of Fractured Rock Mass Destruction Characteristics and Sensitivity Analysis of Precursor Phenomena |
title_sort | multi source information monitoring test of fractured rock mass destruction characteristics and sensitivity analysis of precursor phenomena |
topic | fractured rock mass digital image correlation acoustic emission infrared radiation temperature multi-source monitoring failure precursor |
url | https://www.mdpi.com/1996-1073/15/2/538 |
work_keys_str_mv | AT qinghezhang multisourceinformationmonitoringtestoffracturedrockmassdestructioncharacteristicsandsensitivityanalysisofprecursorphenomena AT tianlezheng multisourceinformationmonitoringtestoffracturedrockmassdestructioncharacteristicsandsensitivityanalysisofprecursorphenomena AT xiaoruiwang multisourceinformationmonitoringtestoffracturedrockmassdestructioncharacteristicsandsensitivityanalysisofprecursorphenomena AT zhiyuanfang multisourceinformationmonitoringtestoffracturedrockmassdestructioncharacteristicsandsensitivityanalysisofprecursorphenomena |