Dynamic Properties and Dynamic Response Model of Jointed Granites by Cyclic Loading
The present study investigates the dynamic properties of granite samples with varying degrees of defects through triaxial cyclic loading experiments conducted under different conditions, including varied confining pressures, loading frequencies, dynamic stress amplitudes, and number of cycles, and t...
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| Published in | Advances in Civil Engineering Vol. 2024; no. 1 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
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Hindawi
2024
John Wiley & Sons, Inc Wiley |
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| Abstract | The present study investigates the dynamic properties of granite samples with varying degrees of defects through triaxial cyclic loading experiments conducted under different conditions, including varied confining pressures, loading frequencies, dynamic stress amplitudes, and number of cycles, and the dynamic response model of granite samples influenced by the confining pressure and frequency are constructed. The results show that the dynamic elastic modulus of granite increases, but its dynamic damping ratio decreases as the confining pressure increases. The dynamic elastic modulus and dynamic damping ratio of the granite increase as increasing frequency. The dynamic elastic modulus of granite increases with the increasing dynamic stress amplitude while its dynamic damping ratio decreases. The dynamic elastic modulus and dynamic damping ratio of granite decreases with an increasing number of cycles. The modified Duncan–Chang model can well describe the dynamical behavior of granite influenced by the confining pressure and frequency. The correlation coefficients of the modified model reached 0.98. It is worth saying that the correlation coefficient of the model is low at 20 Hz frequency. It indicates that frequency has a strong effect on the dynamic response of granite compared with the confining pressure. These data and models will be applied to the next step of detection and prediction of the tunnel rock stress state. |
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| AbstractList | The present study investigates the dynamic properties of granite samples with varying degrees of defects through triaxial cyclic loading experiments conducted under different conditions, including varied confining pressures, loading frequencies, dynamic stress amplitudes, and number of cycles, and the dynamic response model of granite samples influenced by the confining pressure and frequency are constructed. The results show that the dynamic elastic modulus of granite increases, but its dynamic damping ratio decreases as the confining pressure increases. The dynamic elastic modulus and dynamic damping ratio of the granite increase as increasing frequency. The dynamic elastic modulus of granite increases with the increasing dynamic stress amplitude while its dynamic damping ratio decreases. The dynamic elastic modulus and dynamic damping ratio of granite decreases with an increasing number of cycles. The modified Duncan–Chang model can well describe the dynamical behavior of granite influenced by the confining pressure and frequency. The correlation coefficients of the modified model reached 0.98. It is worth saying that the correlation coefficient of the model is low at 20 Hz frequency. It indicates that frequency has a strong effect on the dynamic response of granite compared with the confining pressure. These data and models will be applied to the next step of detection and prediction of the tunnel rock stress state. The present study investigates the dynamic properties of granite samples with varying degrees of defects through triaxial cyclic loading experiments conducted under different conditions, including varied confining pressures, loading frequencies, dynamic stress amplitudes, and number of cycles, and the dynamic response model of granite samples influenced by the confining pressure and frequency are constructed. The results show that the dynamic elastic modulus of granite increases, but its dynamic damping ratio decreases as the confining pressure increases. The dynamic elastic modulus and dynamic damping ratio of the granite increase as increasing frequency. The dynamic elastic modulus of granite increases with the increasing dynamic stress amplitude while its dynamic damping ratio decreases. The dynamic elastic modulus and dynamic damping ratio of granite decreases with an increasing number of cycles. The modified Duncan-Chang model can well describe the dynamical behavior of granite influenced by the confining pressure and frequency. The correlation coefficients of the modified model reached 0.98. It is worth saying that the correlation coefficient of the model is low at 20Hz frequency. It indicates that frequency has a strong effect on the dynamic response of granite compared with the confining pressure. These data and models will be applied to the next step of detection and prediction of the tunnel rock stress state. |
| Audience | Academic |
| Author | Dong, Yaojun Ding, Xiaobin Zhao, Junxing |
| Author_xml | – sequence: 1 givenname: Xiaobin orcidid: 0000-0002-6168-4819 surname: Ding fullname: Ding, Xiaobin organization: School of Civil Engineering and TransportationSouth China University of TechnologyGuangzhou 510641GuangdongChinascut.edu.cn – sequence: 2 givenname: Junxing orcidid: 0009-0009-8230-0165 surname: Zhao fullname: Zhao, Junxing organization: School of Civil Engineering and TransportationSouth China University of TechnologyGuangzhou 510641GuangdongChinascut.edu.cn – sequence: 3 givenname: Yaojun orcidid: 0009-0008-8048-6683 surname: Dong fullname: Dong, Yaojun organization: School of Civil Engineering and TransportationSouth China University of TechnologyGuangzhou 510641GuangdongChinascut.edu.cn |
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| Cites_doi | 10.4028/www.scientific.net/AMM.638-640.1967 10.1007/s13369-022-06914-2 10.1016/j.ijrmms.2004.08.008 10.3390/en13082061 10.1155/2021/2809370 10.1088/1755-1315/570/3/032043 10.3390/app132212514 10.1007/s11771-022-4991-z 10.1007/s00603-004-0030-7 10.1016/j.coldregions.2019.102938 10.1007/s00603-022-03105-1 10.1016/j.conbuildmat.2017.08.090 10.1007/s00603-020-02303-z 10.1007/s10064-022-02777-x 10.1016/j.tafmec.2020.102474 10.1016/j.ijrmms.2013.04.003 10.1007/s11771-020-4520-x 10.1007/s00603-017-1327-7 10.1016/j.compgeo.2022.105111 10.1016/S1365-1609(01)00058-2 10.1016/j.soildyn.2021.106818 10.1016/j.soildyn.2022.107377 10.1155/2020/6640497 10.1007/s10706-019-01117-3 10.1016/j.tafmec.2020.102776 10.1016/j.soildyn.2022.107557 10.1016/j.ultras.2023.106985 10.1007/s40948-021-00275-0 10.1061/(ASCE)GM.1943-5622.0001583 10.1016/j.engfracmech.2019.106797 10.1061/JSFEAQ.0001458 10.1061/(ASCE)MT.1943-5533.0002229 10.1038/268220a0 10.1155/2022/7761639 10.1088/1755-1315/283/1/012019 10.1007/s00603-013-0387-6 10.1016/S1003-6326(16)64337-6 10.1016/j.ijrmms.2023.105415 10.1016/j.ijfatigue.2019.105349 10.1007/s00603-017-1190-6 10.16285/j.rsm.2017.12.002 10.1016/j.ijimpeng.2023.104608 10.1016/j.engfracmech.2020.107410 |
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| SubjectTerms | Amplitudes Analysis Confining Correlation coefficient Correlation coefficients Cyclic loads Damping ratio Deformation Dynamic response Dynamic testing Elasticity Granite Influence Materials Mechanical properties Shock waves Stone Storage modulus Stress concentration Stress state Testing Velocity |
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| Title | Dynamic Properties and Dynamic Response Model of Jointed Granites by Cyclic Loading |
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