Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture
Rock deformation or fracture is accompanied by the phenomenon of acoustic emission (AE). Due to the heterogeneity and anisotropy of rock materials as well as the complexity of their fracture, AE signals recorded by sensors at different positions have different characteristics. To explore factors inf...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6685357 |
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| _version_ | 1832560114633015296 |
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| author | Xun You Bin Gong Xin Lv Longfei Hu |
| author_facet | Xun You Bin Gong Xin Lv Longfei Hu |
| author_sort | Xun You |
| collection | DOAJ |
| description | Rock deformation or fracture is accompanied by the phenomenon of acoustic emission (AE). Due to the heterogeneity and anisotropy of rock materials as well as the complexity of their fracture, AE signals recorded by sensors at different positions have different characteristics. To explore factors influencing these differences, this study examines the effects of the physical properties of rocks, such as heterogeneity, anisotropy, and viscosity, on AE waveform signals from the perspective of the rock material and its fracture characteristics as well as the characteristics of the propagation of different AE waveform signals. The results show that the frequency (f) of the AE signals generated by rock fracture is inversely proportional to crack length (c) and directly proportional to the rate of crack growth (v). During signal propagation, the comprehensive effects of such factors as the heterogeneity, anisotropy, and viscosity of rocks as well as environmental noise weaken the energy of the signals and enhance the distribution of signal frequency. Each factor differently influences the time frequency of AE. A model for the propagation of AE signals was built and verified. Finally, as for on-site rock mass engineering, the low-frequency signals should be analysed prior to analysis in rock mass disaster monitoring. |
| format | Article |
| id | doaj-art-6aae4b64c54946c19d473d7ddc0a6e30 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-6aae4b64c54946c19d473d7ddc0a6e302025-02-03T01:28:28ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66853576685357Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock FractureXun You0Bin Gong1Xin Lv2Longfei Hu3Design & Research Institute of Masteel Engineering Technology Group Co., Ltd., Maanshan 243000, ChinaState Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, ChinaModern Technology and Education Center, North China University of Science and Technology, Tangshan 063210, ChinaResources and Environment Engineering Institute, Jiangxi University of Science and Technology, Ganzhou 341000, ChinaRock deformation or fracture is accompanied by the phenomenon of acoustic emission (AE). Due to the heterogeneity and anisotropy of rock materials as well as the complexity of their fracture, AE signals recorded by sensors at different positions have different characteristics. To explore factors influencing these differences, this study examines the effects of the physical properties of rocks, such as heterogeneity, anisotropy, and viscosity, on AE waveform signals from the perspective of the rock material and its fracture characteristics as well as the characteristics of the propagation of different AE waveform signals. The results show that the frequency (f) of the AE signals generated by rock fracture is inversely proportional to crack length (c) and directly proportional to the rate of crack growth (v). During signal propagation, the comprehensive effects of such factors as the heterogeneity, anisotropy, and viscosity of rocks as well as environmental noise weaken the energy of the signals and enhance the distribution of signal frequency. Each factor differently influences the time frequency of AE. A model for the propagation of AE signals was built and verified. Finally, as for on-site rock mass engineering, the low-frequency signals should be analysed prior to analysis in rock mass disaster monitoring.http://dx.doi.org/10.1155/2021/6685357 |
| spellingShingle | Xun You Bin Gong Xin Lv Longfei Hu Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture Advances in Civil Engineering |
| title | Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture |
| title_full | Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture |
| title_fullStr | Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture |
| title_full_unstemmed | Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture |
| title_short | Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture |
| title_sort | study on the mathematical model and propagation characteristics of ae waveform signals during rock fracture |
| url | http://dx.doi.org/10.1155/2021/6685357 |
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