کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8914523 1640473 2018 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The use of Stress Tensor Discriminator Faults in separating heterogeneous fault-slip data with best-fit stress inversion methods. II. Compressional stress regimes
ترجمه فارسی عنوان
استفاده از ضعف های تشدید کننده تنش در تفکیک داده های لغزش گسل های ناهمگن با روش های تناوب تنش مناسب. دوم رژیم های استرس فشرده
کلمات کلیدی
فعال شدن گسل، اطلاعات گسلی ناهمگن، تانسور استرس تناسب اندام، انحراف استرس، زاویه غیرواقعی، فشرده سازی،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی
چکیده انگلیسی
Synthetic heterogeneous fault-slip data as driven by Andersonian compressional stress tensors were used to examine the efficiency of best-fit stress inversion methods in separating them. Heterogeneous fault-slip data are separated only if (a) they have been driven by stress tensors defining 'hybrid' compression (R < 0.375), and their σ1 axes differ in trend more than 30° (R = 0) or 50° (R = 0.25). Separation is not feasible if they have been driven by (b) 'real' (R ≥ 0.375) and 'hybrid' compressional tensors having their σ1 axes in similar trend, or (c) 'real' compressional tensors. In case (a), the Stress Tensor Discriminator Faults (STDF) exist in more than 50% of the activated fault slip data while in cases (b) and (c), they exist in percentages of much less than 50% or not at all. They constitute a necessary discriminatory tool for the establishment and comparison of two compressional stress tensors determined by a best-fit stress inversion method. The best-fit stress inversion methods are not able to determine more than one 'real' compressional stress tensor, as far as the thrust stacking in an orogeny is concerned. They can only possibly discern stress differences in the late-orogenic faulting processes, but not between the main- and late-orogenic stages.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Structural Geology - Volume 107, February 2018, Pages 153-162
نویسندگان
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