Rockburst are often encountered in tunnel construction due to the complex geological conditions.To study the influence of unloading rate on rockburst,gneiss rockburst experiments were conducted under three groups of u...Rockburst are often encountered in tunnel construction due to the complex geological conditions.To study the influence of unloading rate on rockburst,gneiss rockburst experiments were conducted under three groups of unloading rates.A high-speed photography system and acoustic emission(AE)system were used to monitor the entire process of rockburst process in real-time.The results show that the intensity of gneiss rockburst decreases with decrease of unloading rate,which is manifested as the reduction of AE energy and fragments ejection velocity.The mechanisms are proposed to explain this effect:(i)The reduction of unloading rate changes the crack propagation mechanism in the process of rockburst.This makes the rockbursts change from the tensile failure mechanism at high unloading rate to the tension-shear mixed failure mechanism at low unloading rate,and more energy released in the form of shear crack propagation.Then,less strain energy is converted into kinetic energy of fragments ejection.(ii)Less plate cracking degree of gneiss has taken shape due to decrease of unloading rate,resulting in the destruction of rockburst incubation process.The enlightenments of reducing the unloading rate for the project are also described quantitatively.The rockburst magnitude is reduced from the medium magnitude at the unloading rate of 0.1 MPa/s to the slight magnitude at the unloading rate of 0.025 MPa/s,which was judged by the ejection velocity.展开更多
To investigate the mechanism of rockburst prevention by spraying water onto the surrounding rocks,15 experiments are performed considering different water absorption levels on a single face.High-speed photography and ...To investigate the mechanism of rockburst prevention by spraying water onto the surrounding rocks,15 experiments are performed considering different water absorption levels on a single face.High-speed photography and acoustic emission(AE)system are used to monitor the rockburst process.The effect of water on sandstone rockburst and the prevention mechanism of water on sandstone rockburst are analyzed from the perspective of energy and failure mode.The results show that the higher the ab-sorption degree,the lower the intensity of the rockburst after absorbing water on single side of sand-stone.This is reflected in the fact that with the increase in the water absorption level,the ejection velocity of rockburst fragments is smaller,the depth of the rockburst pit is shallower,and the AE energy is smaller.Under the water absorption level of 100%,the magnitude of rockburst intensity changes from medium to slight.The prevention mechanism of water on sandstone rockburst is that water reduces the capacity of sandstone to store strain energy and accelerates the expansion of shear cracks,which is not conducive to the occurrence of plate cracking before rockburst,and destroys the conditions for rockburst incubation.展开更多
The key to achieving rockburst warning lies in the understanding of rockburst precursors.Considering the cor-relation characteristics of rockburst acoustic emission(AE)parameters,a self-organizing map neural network(S...The key to achieving rockburst warning lies in the understanding of rockburst precursors.Considering the cor-relation characteristics of rockburst acoustic emission(AE)parameters,a self-organizing map neural network(SOMNN)based method for rockburst precursor inversion was proposed.The feature of this method lies in a cyclic data segmentation iteration process based on the thinking of“interference signal screening”,“key signal extraction”,and“precursor signal inversion”.The rationality of this method has been verified in three groups of rockburst experiments.The results revealed that rockburst AE precursor signals consist of a series of signals characterized by long duration,high energy,low average frequency,high energy amplitude,and low peak fre-quency.Subsequently,potential value in long term rockburst warning of the precursor obtained in this study was shown via the comparison of conventional precursors.Finally,a preliminary interpretation for rockburst pre-cursor was proposed under the framework of AE parameters physical significance,and it is revealed that AE precursor signals are likely linked to the creation of large-scale tensile cracks before rockburst.展开更多
基金The financial support from the National Natural Science Foundation of China(Grant Nos.41941018 and 52074299)the Fundamental Research Funds for the Central Universities of China(Grant No.2023JCCXSB02)。
文摘Rockburst are often encountered in tunnel construction due to the complex geological conditions.To study the influence of unloading rate on rockburst,gneiss rockburst experiments were conducted under three groups of unloading rates.A high-speed photography system and acoustic emission(AE)system were used to monitor the entire process of rockburst process in real-time.The results show that the intensity of gneiss rockburst decreases with decrease of unloading rate,which is manifested as the reduction of AE energy and fragments ejection velocity.The mechanisms are proposed to explain this effect:(i)The reduction of unloading rate changes the crack propagation mechanism in the process of rockburst.This makes the rockbursts change from the tensile failure mechanism at high unloading rate to the tension-shear mixed failure mechanism at low unloading rate,and more energy released in the form of shear crack propagation.Then,less strain energy is converted into kinetic energy of fragments ejection.(ii)Less plate cracking degree of gneiss has taken shape due to decrease of unloading rate,resulting in the destruction of rockburst incubation process.The enlightenments of reducing the unloading rate for the project are also described quantitatively.The rockburst magnitude is reduced from the medium magnitude at the unloading rate of 0.1 MPa/s to the slight magnitude at the unloading rate of 0.025 MPa/s,which was judged by the ejection velocity.
基金The financial support from the National Natural Science Foun-dation of China(Grant Nos.52074299 and 41941018)the Fundamental Research Funds for the Central Universities of China(Grant No.2023JCCXSB02)are gratefully acknowledged.
文摘To investigate the mechanism of rockburst prevention by spraying water onto the surrounding rocks,15 experiments are performed considering different water absorption levels on a single face.High-speed photography and acoustic emission(AE)system are used to monitor the rockburst process.The effect of water on sandstone rockburst and the prevention mechanism of water on sandstone rockburst are analyzed from the perspective of energy and failure mode.The results show that the higher the ab-sorption degree,the lower the intensity of the rockburst after absorbing water on single side of sand-stone.This is reflected in the fact that with the increase in the water absorption level,the ejection velocity of rockburst fragments is smaller,the depth of the rockburst pit is shallower,and the AE energy is smaller.Under the water absorption level of 100%,the magnitude of rockburst intensity changes from medium to slight.The prevention mechanism of water on sandstone rockburst is that water reduces the capacity of sandstone to store strain energy and accelerates the expansion of shear cracks,which is not conducive to the occurrence of plate cracking before rockburst,and destroys the conditions for rockburst incubation.
基金support from the National Natural Science Foundation of China(No.52074299,No.41941018)the Fundamental Research Funds for the Central Universities(No.2023JCCXSB02)the China Geological Survey projects(No.DD20200319)are gratefully acknowledged.
文摘The key to achieving rockburst warning lies in the understanding of rockburst precursors.Considering the cor-relation characteristics of rockburst acoustic emission(AE)parameters,a self-organizing map neural network(SOMNN)based method for rockburst precursor inversion was proposed.The feature of this method lies in a cyclic data segmentation iteration process based on the thinking of“interference signal screening”,“key signal extraction”,and“precursor signal inversion”.The rationality of this method has been verified in three groups of rockburst experiments.The results revealed that rockburst AE precursor signals consist of a series of signals characterized by long duration,high energy,low average frequency,high energy amplitude,and low peak fre-quency.Subsequently,potential value in long term rockburst warning of the precursor obtained in this study was shown via the comparison of conventional precursors.Finally,a preliminary interpretation for rockburst pre-cursor was proposed under the framework of AE parameters physical significance,and it is revealed that AE precursor signals are likely linked to the creation of large-scale tensile cracks before rockburst.