A Thorough Investigation of the Dynamic Properties of Granite under Cyclic Loading
We propose a novel inverse analysis method that utilizes shockwaves to detect the operational condition of tested rock. To achieve this back analysis, an in-depth investigation of the dynamic properties of granite specimens was conducted. The dynamic properties of the granite specimens were investig...
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| Published in | Applied sciences Vol. 13; no. 22; p. 12514 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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01.11.2023
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| Abstract | We propose a novel inverse analysis method that utilizes shockwaves to detect the operational condition of tested rock. To achieve this back analysis, an in-depth investigation of the dynamic properties of granite specimens was conducted. The dynamic properties of the granite specimens were investigated using a triaxial cyclic loading machine, under different confining pressures, loading frequencies, stress amplitudes, and numbers of cycles, and a dynamic response model was constructed from the test data. The results show that the dynamic elastic modulus increased with the increase in confining pressure, while its damping ratio decreased. The dynamic elastic modulus and damping ratio increased with the increase in loading frequency. As the dynamic stress amplitude increased, the dynamic elastic modulus of the granite increased, but the dynamic damping ratio decreased. As the number of cycles increased, the dynamic elastic modulus and dynamic damping ratio of the granite decreased and gradually stabilized. The modified Duncan–Chang model was used to construct the dynamic response model of the specimens. It is worth saying that the correlation coefficient of the model is low at a loading frequency of 20 Hz. This indicates that the frequency has a greater effect on the dynamic response of the specimen compared with the confining pressure. The conclusions obtained from these tests can be used to study more comprehensively the interaction and causal relationship between different factors, and to prepare for the next steps of tunnel rock stress-state prediction. |
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| AbstractList | We propose a novel inverse analysis method that utilizes shockwaves to detect the operational condition of tested rock. To achieve this back analysis, an in-depth investigation of the dynamic properties of granite specimens was conducted. The dynamic properties of the granite specimens were investigated using a triaxial cyclic loading machine, under different confining pressures, loading frequencies, stress amplitudes, and numbers of cycles, and a dynamic response model was constructed from the test data. The results show that the dynamic elastic modulus increased with the increase in confining pressure, while its damping ratio decreased. The dynamic elastic modulus and damping ratio increased with the increase in loading frequency. As the dynamic stress amplitude increased, the dynamic elastic modulus of the granite increased, but the dynamic damping ratio decreased. As the number of cycles increased, the dynamic elastic modulus and dynamic damping ratio of the granite decreased and gradually stabilized. The modified Duncan–Chang model was used to construct the dynamic response model of the specimens. It is worth saying that the correlation coefficient of the model is low at a loading frequency of 20 Hz. This indicates that the frequency has a greater effect on the dynamic response of the specimen compared with the confining pressure. The conclusions obtained from these tests can be used to study more comprehensively the interaction and causal relationship between different factors, and to prepare for the next steps of tunnel rock stress-state prediction. |
| Audience | Academic |
| Author | Dong, Yaojun Zhao, Junxing Zhou, Mi Ding, Xiaobin |
| Author_xml | – sequence: 1 givenname: Xiaobin orcidid: 0000-0002-6168-4819 surname: Ding fullname: Ding, Xiaobin – sequence: 2 givenname: Junxing surname: Zhao fullname: Zhao, Junxing – sequence: 3 givenname: Yaojun surname: Dong fullname: Dong, Yaojun – sequence: 4 givenname: Mi surname: Zhou fullname: Zhou, Mi |
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| Snippet | We propose a novel inverse analysis method that utilizes shockwaves to detect the operational condition of tested rock. To achieve this back analysis, an... |
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| SubjectTerms | confining pressure cyclic loading Design dynamic response model dynamic stress amplitude Experiments Literature reviews loading frequency Mechanical properties number of cycles Stone Stress state Temperature Trends |
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| Title | A Thorough Investigation of the Dynamic Properties of Granite under Cyclic Loading |
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