态矢量方法的实验研究

Abstract

Abstract: Before catastrophe, such as earthquakes, some precursors will appear. The tremendous change of state vector is one of them, which has been investigated in the present paper. By using acoustic emission technique the creation and growth of microcracks in rock specimens that stressed by triaxial stresses have been registered during the course of the experiment. The experimental results indicate that prior to the failure of rock specimens, all the related parameters of state vector have been undergone remarkable change. That means state vector could be adopted as precursor for catastrophe in brittle media and also served as a measurement to predict failure of brittle media and earthquakes.

Key words: State vector, Acoustic emission, Critical point, Earthquake prediction

CLC Number:

P315.8

YU Huai-zhong, YIN Xiang-Chu, ZHANG Yong-xian, XIA Meng-fen, LING Nai-gang, LI Min, XU Zhao-yong, PENG Ke-yin, YAN Yu-ding, Victor Kukshenko, Wu Zhishen, Qi Li, Surguei Elizarov. Experimental study of state vector[J]. EARTHQUAKE, 2004, 24(3): 1-7.

References

[1] Vere-Jones D. Statistical theory of crack propagation[J]. Math Geol, 1977, 9: 455-481.
[2] Sornette A, Sornette D. Earthquake rupture as a critical point: Consequences for telluric precursors[J]. Tectonophysics, 1990, 179: 327-334.
[3] Sornette D, Sammis C G. Complex critical exponents from renormalization group theory of earthquakes : Implications for earthquake predictions[J]. J Phys I, 1995, 5, 607-619.
[4] Sammis C G, Smith S W. Seismic cycles and the evolution of stess correlation in cellular automation models of finite fault networks[J]. Pure Appl Geophys, 1999, 155: 307-334.
[5] Bowman D D, Ouillon G, Sammis C G, et al. An Observation test of the critical earthquake concept[J]. J geophys res, 1998, 103(24): 359-372.
[6] Rundle J B, Klein W, Gross S. A physical basis for statical patterns in complex earthquake populations: models, predictions and tests[J]. Pure Appl Geophys, 1999, 155: 575-607.
[7] Jaume S C, Sykes L R. Evolution toward a critical point: a review of accelerating seismic moment/energy release prior to large great earthquakes[J]. Pure Appl Geophys, 1999, 155: 279-306.
[8] 吴忠良. 地震震源物理中的临界现象[M]. 北京: 地震出版社, 2000.
[9] 尹祥础, 陈学忠, 宋治平, 等. 加卸载响应比理论(LURR)一种新的地震预报方法[J]. 地球物理学报, 1994, 37(6): 767-775.
[10] YIN Xiang-chu, CHEN Xue-zhong, SONG Zhi-ping, et al. A new approach to earthquake prediction-the Load/Unload Response Ratio(LURR) theory[J]. PAGEOPH, 1995, 145(3/4): 701-715.
[11] YIN Xiang-chu, Wang Yu-cang, PENG Ke-yin, et al. Development of a new approach to earthquake prediction: Load/Unload Response Ratio (LURR) theory[J]. Pure appl geophys, 2000, 157: 2365-2383.
[12] Yin X C, Mora P, Peng K, et al. Load-Unload Response Ratio and Accelerating Moment/Energy Release critical region scaling and earthquake prediction[J]. PAGEOPH, 2002, 159: 2511-2523.
[13] YIN Xiang-chu, YU Huai-zhong, Victor Kukshenko, et al. Load-Unload Response Ratio (LURR), Accelerating Energy Release (AER) and State Vector evolution as precursors to failure of rock specimens[J]. Pure Appl Geophys, 2004, 161 (9/10): 55-65.
[14] 尹祥础, 余怀忠, 张永仙. 态矢量分析地震活动性的一种新方法[J]. 中国地震, 2004, 20(2): 15-25.
[15] Lockner D A. The role of emission in the study of rock failure[J]. Int J Rock Mech Min Sci & Geomech Asstr, 1993, 30(7): 883-899.
[16] Tomilin N G, Damaskinskaya E E, Kuksenko V S. Formation of a fracture focus during the deformation of heterogeneous materials (granite)[J]. Fiz Tverd Tela(St Petersburg) , 1994, 36: 3101-3112.
[17] Lockner D A, Byerlee J D, Kuksenko V, et al. Quasi-static fault growth and shear fracture energy in granite[J]. NATURE, 1991, 350 (7): 39-42.
[18] 余怀忠, 尹祥础, 夏蒙棼, 等. 加卸载响应比(LURR)理论的实验研究[J]. 中国地震, 2003, 19(1): 58-66.
[19] Reichl L E. A modern course in statistical physics[M]. University of Texas, 1980.

Experimental study of state vector

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