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| Study on dynamic response and constitutive model
of composite rock under impact loading |
| ZHAO Hongbao，JI Dongliang，LIU Shaoqiang，CHENG Hui，WU Tong |
| (School of Energy and Mining Engineering，China University of Mining and Technology(Beijing)，Beijing 100083，China) |
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Abstract In order to explore the difference of dynamic response for different composite rock masses under impact loading in engineering，dynamic impact tests under different strain rates are carried out with split Hopkinson pressure bar(SHPB) test system and digital image correlation(DIC) on coal-rock and rock-coal composite rock masses. The properties of two composite rock masses after impact loading are compared including stress wave propagation，dynamic strength，energy dissipation，fracture fractal characteristics and failure modes. Furthermore，a constitutive model is constructed considering the characteristics of composite coal and rock. The results of experiment and theoretical analysis show that incident energies of two kinds of composite rock masses are almost the same under the same strain rate，dynamic strength properties and dissipation of rock-coal can be significantly greater than that of coal-rock especially when the strain rate is small，this is because wave impedance matching of rock-coal is better in the process of stress wave propagation，and the difference decreases with the increase of strain rate. The larger the dissipative energy of composite rock mass is，the larger the fractal dimension of fragmentation is，and there is an obvious linear correlation between dissipative energy and fractal dimension. Splitting failure is dominant on the coal side of different composite rock masses under impact loading，and then ultimate macroscopical failure will occur due to influence of interface effect with the development of the cracks on the coal side. A constitutive equation considering strain rate effect and damage evolution is established based on the element combination，it is in good agreement with the experimental results，which verifies the correctness of the constructed model.
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2023, Vol. 42 
