ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

خوارزمية ليرش-غروسمان×تصنيف الكتلة الصخرية (RMR)×
المجالهندسة التعدينهندسة التعدين
العائلةProcess / pipelineProcess / pipeline
سنة النشأة19651973
صاحب الطريقةHelmut Lerchs and Israel GrossmannZbigniew T. Bieniawski
النوعGraph-theoretic algorithm for pit limit optimizationEmpirical classification for geotechnical engineering
المصدر التأسيسيLerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗Bieniawski, Z. T. (1989). Engineering rock mass classifications. John Wiley & Sons. ISBN: 978-0-471-60437-4
الأسماء البديلةLerchs-Grossmann Method, LG AlgorithmRMR, Bieniawski Classification, RMR89
ذات صلة43
الملخصThe Lerchs-Grossmann Algorithm is a graph-theoretic method for determining the ultimate pit limit in open-pit mining operations. Introduced by Helmut Lerchs and Israel Grossmann in 1965, it maximizes the net present value of extracted ore while respecting slope stability constraints. This algorithm forms the theoretical foundation for most modern pit optimization software.The Rock Mass Rating (RMR) system, developed by Zbigniew Bieniawski starting in 1973, is an empirical classification that characterizes rock mass quality and estimates mining and civil engineering behavior. RMR combines five measurable geotechnical parameters into a single index ranging from 0 to 100, where higher values indicate stronger, more stable rock masses. It is the most widely used rock classification system worldwide for underground mining design.
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Lerchs-Grossmann Algorithm · Rock Mass Rating. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare