We consider rock burst to be a dynamic disaster similar to earthquakes, rapid land sliding, or coal mine gas dynamic disasters. Multi-scale mechanical principles imply the same mechanism of damage evolution proceeds the catastrophe. Damage may occur at various scales from a meso-scopic scale to a macroscopic, or engineering scale. Rock burst is a catastrophe at the scale of the engineering structure, such as a tunnel cross section or the work face of a long wall mine. It results from dynamic fracture of the structure where microscopic damage nucleates, expands, and finally propagates into a macroscopic sized fracture band. Rock burst must, therefore, undergo a relatively long development, or gestation, time before its final appearance. In this paper, a study of rock burst within a deeply buried tunnel by numerical methods is described. The results show that during rock burst gestation the distributed microscopic damage in the rock surrounding the tunnel localizes, intersects, and then evolves into a set of concentrated “V” shaped damage bands. These concentrated damage bands propagate in the direction of maximum shear as shearing slide bands take shape. Rock burst happens within the wedge separated by the shear bands from the native tunnel rock. An analysis of the wedge fracture shows that the unloading effects result in rock burst and rapid release of the strain energy. The implications for rock burst prediction in tunnels are that: (1) rock burst develops in the upper arch corners of in the tunnel cross section prior to developing in other zones, so good attention must be paid there; (2) all monitoring, prevention, and treatment of rock burst should be done during the gestation phase; (3) the shear bands contain abundant information concerning the physics and mechanics of the process and they are the foundation of physical and mechanical monitoring of acoustic emission, micro seismic events, stress, and the like. Thus a special study of the shearing mechanism is required. 相似文献
Mobile edge computing (MEC) is an emerging technology recognized as an effective solution to guarantee the Quality of Service for computation-intensive and latency-critical traffics. In MEC system, the mobile computing, network control and storage functions are deployed by the servers at the network edges (e.g., base station and access points). One of the key issue in designing the MEC system is how to allocate finite computational resources to multi-users. In contrast with previous works, in this paper we solve this issue by combining the real-time traffic classification and CPU scheduling. Specifically, a support vector machine based multi-class classifier is adopted, the parameter tunning and cross-validation are designed in the first place. Since the traffic of same class has similar delay budget and characteristics (e.g. inter-arrival time, packet length), the CPU scheduler could efficiently scheduling the traffic based on the classification results. In the second place, with the consideration of both traffic delay budget and signal baseband processing cost, a preemptive earliest deadline first (EDF) algorithm is deployed for the CPU scheduling. Furthermore, an admission control algorithm that could get rid off the domino effect of the EDF is also given. The simulation results show that, by our proposed scheduling algorithm, the classification accuracy for specific traffic class could be over 82 percent, meanwhile the throughput is much higher than the existing scheduling algorithms.
A mathematical model was developed to investigate the water vapor spontaneous condensation under supersonic flow conditions.
A numerical simulation was performed for the water vapor condensable supersonic flows through Laval nozzles under different
flow friction conditions. The comparison between numerical and experimental results shows that the model is accurate enough
to investigate the supersonic spontaneous condensation flow of water vapor inside Laval nozzles. The influences of flow friction
drag on supersonic spontaneous condensation flow of water vapor inside Laval nozzles were investigated. It was found that
the flow friction has a direct effect on the spontaneous condensation process and therefore it is important for an accurate
friction prediction in designing this kind of Laval nozzles.
Supported by the National Natural Science Foundation of China (Grant No. 50676002), the Specialized Research Fund for the
Doctoral Program of Higher Education (Grant No. 20040005008) and the Beijing Best Innovation Person Selecting Project (2006) 相似文献
A planar fractal model for simulation of frost formation and growth was proposed based on diffusion limited aggregation(DLA)model and the computational simulation was carried out in this paper.By changing the times of program running circulation and the ratio of random particles generated,the simulation figures were gained under different conditions.A microscope is used to observe the shape and structure of frost layer and a digital camera with high resolution is used to record the pattern of frost layer at... 相似文献