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地震 ›› 1999, Vol. 19 ›› Issue (3): 245-252.

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实验室声发射三维定位及标本波速场各向异性研究

蒋海昆1), 张流1), 王琦2)   

  1. 1)中国北京 100029 中国地震局地质研究所;
    2)中国济南 250014 山东省地震局
  • 收稿日期:1998-09-21 修回日期:1998-12-14 出版日期:1999-07-31 发布日期:2022-07-14
  • 作者简介:蒋海昆,男,1964年3月出生,副研究员,1996年在读博士生,主要从事地震活动性分析、地震综合预报、地震时空分形、岩石破裂实验及理论研究工作。
  • 基金资助:
    中国地震局“九五”科研攻关项目( 95-04-03-02)及山东省自然基金项目 ( Y97E02079)资助

3-D LOCATION OF ACOUSTIC EMISSION AND STUDY ON THE ANISOTROPIC VELOCITY STRUCTURE IN THE SAMPLE

Jiang Haikun1), Zhang Liu1), Wang qi2)   

  1. 1) Institute of Geology, CSB, Beijing 100029, China;
    2) Seismological Bureau of Shandong Province, Jinan 250014, China
  • Received:1998-09-21 Revised:1998-12-14 Online:1999-07-31 Published:2022-07-14

摘要: 根据慢度离差法的基本原理,给出由遗传算法确定AE空间位置、发生时刻及慢度离差5个参量的具体方法。结合实验条件,通过数值试验对定位误差等问题进行探讨,并对真实AE定位的误差分布给出统计上的圈定。数值试验结果表明,算法具有较高的精度和较好的收敛性及稳健性;探头数量及布设方式对定位结果的优劣有影响, 4个以上探头有记录时,即可得到理想的结果;大的定位误差主要来源于台阵外部少数“ AE”的结果。到时测量的随机误差小于最小测量时间单位的50%时,平均有97%的“AE”定位误差分布在3 mm 范围内,小于物理不可分辨精度(探头直径)。

关键词: 声发射定位, 慢度离差, 遗传算法, 数值试验

Abstract: Based on the fundamental theorem of Slow ness Deviation Method, the specific method to determine the source location, occurring time and slow ness deviation of an AE by the Genetic Algorithm have been offered in this paper. Combining with the actual experimental condition, some questions such as AE source location error have been discussed by the numerical tests, and the statistic limitation for error distribution of AE location has been also expressed in the paper. The results show that the algorithm has a high precision, good convergence and stability. The number and distribution of the sensors can strongly influence the accuracy of AE location. The ideal results could be go t when four or more sensors are triggered. Large location error comes from a few results of AE location out side the sensor array. Generically, when random arrival time error is smaller than 50% of the minimum time measuring unit, the location error, more than 97% of AE events, is distributed in the range of 3 mm to be smaller than the diameter of a sensor.

Key words: Acoustic emission, Slow ness deviation, Genetic algorithm, Numerical test