کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5020150 1468670 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Initialization of highly heterogeneous virgin stress fields within the numerical modeling of large-scale mines
ترجمه فارسی عنوان
ابتدایی زمینه های تنش بسیار بی نظیر در مدل های عددی معادن بزرگ
کلمات کلیدی
وضعیت استرس قبل از معدن، زمینه تنش هتروزانه، مدل سازی عددی، شرایط اولیه، روش ساده،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات مهندسی ژئوتکنیک و زمین شناسی مهندسی
چکیده انگلیسی
The objective of the present paper is to propose a methodology to numerically simulate (i.e., initialize) the pre-mining stress field in complex but rather frequent situations in which the classical overburden-weight assumption and existing stress measurements are in disagreement and where the stresses strongly vary from one zone to another, even at constant depth. This methodology is illustrated by the case of a deep mine in France that exploits a 10°-dipping coal seam, in which numerous stress measurements were carried out. Virgin principal stresses in this mine have been shown to be highly heterogeneous and anisotropic. To correctly reproduce such a challenging initial stress state in a numerical model and to be able to later calculate mining-induced stresses, five distinct methods (M#1 to M#5) are successively presented and compared, along with their advantages and drawbacks. All of them are based on “fixed” boundary conditions, with null normal displacements on all lateral boundaries except on the top one, which is considered as a free surface of the Earth coinciding with the natural flat topography. The initial conditions of the model assume that the pre-mining stress components linearly depend on the Cartesian coordinates x, y and z (depth), and the Simplex Method is used to calculate the linear coefficients by minimizing the squared difference between the measured stresses and their simulated values. We show that the use of 3D stress gradients produces more realistic results than a 1D vertical stress gradient.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Rock Mechanics and Mining Sciences - Volume 99, November 2017, Pages 50-62
نویسندگان
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