| 自动识别多期断层擦痕的一种应力反演算法 |
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| 关键词:polyphase fault/slip data sets stress inversion fuzzy clustering analysis algorithm |
| 基金项目:中国科学院资源环境领域知识创新工程重要方向项目(KZCX2113)，山东省自然科学基金(Y98E08078) |
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| 摘要: |
| A Stress Inversion Procedure for Automatic Recognition of Polyphase Fault/Slip Data Sets |
| The presence of polyphase fault/slip data caused by the variability of tectonic stress fields in the geological history is a general problem in stress inversion. Algorithms previously presented for separation of polyphase fault/slip data sets are based on hard subdivision and underestimate the intrinsic nondeterminacy of data. In some of these algorithms, the classic algorithm for one phase fault/slip data is embedded. In Fry's (1999) sigma space, the vectors of one phase fault/slip data must have a linear tendency whe reas the vectors of polyphase data have multiple linear tendencies. The authors herein apply modern fuzzy clustering analysis to detec ting the linear structures of fault/slip data. The algorithm used here considers the nondeterminacy of data and hence can overcome the shortcomings of existing algorithms. It is automatic, direct and effective,and needs less running time. |
| SHAN Ye-hua,LI Zhi-an,LIN Ge.2003.A Stress Inversion Procedure for Automatic Recognition of Polyphase Fault/Slip Data Sets[J].Acta Geoscientica Sinica,24(2):181-186. |
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