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| Investigation on acoustic emission characteristics and fracture network patterns of pre-flawed granite subjected to increasing-amplitude fatigue loads |
| WANG Yu1,GAO Shaohua1,MENG Huajun2,LONG Dayu1 |
| (1. School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;2. Institute of Geomechanics,Chinese Academy of Geological Sciences,Beijing 100081,China) |
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Abstract In order to reveal the effect of dynamic loading frequency on fracture evolution characteristics of pre-flawed rocks,GCTS-RTR 2000 rock mechanics testing system,in-situ acoustic emission monitoring and post-test CT scanning were employed to carry out increasing-amplitude fatigue loading experiments on rock samples with an approaching angle of 50°. Testing results show that the strength,deformation and fatigue life increase with increasing the dynamic loading frequency. The growth rate of the volumetric strain shows a trend from steady increase to sudden increase,and at the final fatigue loading stage,the deformation increases sharply until the sample fails. AE count,AE energy change and crack propagation behavior are controlled by the dynamic loading frequency. The accumulative AE count and AE energy increase with increasing the loading frequency. The AE spectral frequency analysis reveals six kinds of crack types. The crack size is negatively correlated with the frequency and the proportion of the high frequency-high amplitude signal decreases with increasing the frequency, indicating that large-scaled cracks are prone to form under high loading frequency. CT images show that the scale of the crack network at the rock bridge segment increasing with increasing the loading frequency,and the coalescence of the pre-flaws easily occurs for rock subjected to low dynamic loading frequency conditions while is difficult under a high dynamic loading frequency. The testing results are helpful to improve the understanding of the influence of the dynamic frequency on the fatigue mechanical properties and the crack evolution behavior under increasing-amplitude fatigue loading and provide necessary theoretical basis for the monitoring and warning of structural deterioration,pattern recognition and long-term stability of rock mass under increasing-amplitude fatigue loading.
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