用地震量子模型分析大震前b值变化特征

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地震孕育是一个复杂的动力学过程,目前我们还不能写出地震动力学方程组,但可以通过数学物理实验方法,建立简化而实际的地震模型,来重现地震活动的基本规律。关于这方面的研究成果已有很多,如滑块模型、细胞自动机模型、非弹性单元(元件)模型等。上述模型虽可被用来模拟地震过程,得到类似于实际地震活动的一些特征,但模型本身并不是直接使用震源介质物理力学参数,如滑块模型、细胞自动机模型中细胞(或单元)基于数学或物理假定被赋予假定的尺度与阀值,失稳条件完全依赖指定的阀值,并假定失稳后能量均匀传递给四周,这些假定也没有更多的考虑真实的震源物理规律及震源介质力学参数,因而许多结果缺少直接明确的物理意义。 Earthquake breeding is a complex dynamic process. At present, we still can not write the equations of seismic dynamics. However, we can establish a simplified and actual seismic model through mathematical physics experiment to reproduce the basic laws of seismic activity. There are many research results in this area, such as the slider model, cellular automaton model, non-elastic cell (component) model. Although the above model can be used to simulate the seismic process and get some characteristics similar to the actual seismic activity, the model itself does not directly use the physical parameters of the source medium, such as the slider model. The cell (or unit) in the cellular automata model is based on Mathematical or physical assumptions are given to the scales and thresholds assumed, destabilization conditions are completely dependent on the specified threshold, and the energy is assumed to be transmitted evenly around the instability, these assumptions do not consider the real physical laws of the source and the source medium Mechanical parameters, many of the results of the lack of direct and clear physical meaning.
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