Aref Alipour
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
[ 1 ] - A genetic algorithm approach for open-pit mine production scheduling
In an Open-Pit Production Scheduling (OPPS) problem, the goal is to determine the mining sequence of an orebody as a block model. In this article, linear programing formulation is used to aim this goal. OPPS problem is known as an NP-hard problem, so an exact mathematical model cannot be applied to solve in the real state. Genetic Algorithm (GA) is a well-known member of evolutionary algorithms...
[ 2 ] - Robust production scheduling in open-pit mining under uncertainty: a box counterpart approach
Open-Pit Production Scheduling (OPPS) problem focuses on determining a block sequencing and scheduling to maximize Net Present Value (NPV) of the venture under constraints. The scheduling model is critically sensitive to the economic value volatility of block, block weight, and operational capacity. In order to deal with the OPPS uncertainties, various approaches can be recommended. Robust opti...
[ 3 ] - پیش‌بینی میرایی امواج لرزش زمین ناشی از انفجار با مدل جدید مبتنی بر الگوریتم رقابت استعماری
لرزش ناشی از انفجار در معادن و تأثیر آن بر سازه‌ها و تجهیزات مجاور از پیامدهای منفی سیکل معدنکاری محسوب می‌شود. به منظور کنترل لرزش و مدیریت اثرات نامطلوب آن، اقدام به اندازه‌گیری و مدل‌سازی میرایی امواج می‌شود. با انجام چندین انفجار آزمایشی و تحلیل امواج لرزشی ناشی از آن، مدل میرایی این امواج برای هر ساختگاه و معدن مطالعاتی تعیین می‌شود. به طور معمول برمبنای فاصله محل اندازه‌گیری موج تا سینه‌ک...
[ 4 ] - مدل‌سازی نرخ نفوذ دستگاه تمام مقطع مکانیزه حفر تونل به روش سطح پاسخ
یکی از مسائل حیاتی در تخمین هزینه‌های ساخت و زمان اجرای پروژه‌های تونلی، پیش‌بینی عملکرد ماشین‌های حفاری مکانیزه تمام مقطع تونل (Tunnel Boring machine, TBM) است. عملکرد TBM بشدت وابسته به میزان نرخ نفوذ دستگاه است. هدف از پژوهش حاضر، بسط مدلی برای تخمین نرخ نفوذ TBM توسط رویکرد سطح پاسخ می باشد. تونل شماره سه کوینز واقع در نیویورک به عنوان مطالعه موردی انتخاب شده و مدل پیشنهادی با داده‌های آن م...
[ 5 ] - Modeling and prediction of time-series of monthly copper prices
One of the main tasks to analyze and design a mining system is predicting the behavior exhibited by prices in the future. In this paper, the applications of different prediction methods are evaluated in econometrics and financial management fields, such as ARIMA, TGARCH, and stochastic differential equations, for the time-series of monthly copper prices. Moreover, the performance of these metho...
[ 6 ] - Application of Response Surface Method to the Estimation of Bond Work Index
Introduction The main objective of this contribution is to focus on the portion of the comminution process which deals with the prediction of the energy consumption due to the comminution portion of the milling processes. The comminution energy in mineral processing and cement industry is usually determined by empirical Bond Work Index (BWI), regardless of the mechanical properties of a rock....
[ 7 ] - Application of Benford’s Law in Analyzing Geotechnical Data
Benford’s law predicts the frequency of the first digit of numbers met in a wide range of naturally occurring phenomena. In data sets, following Benford’s law, numbers are started with a small leading digit more often than those with a large leading digit. This law can be used as a tool for detecting fraud and abnormally in the number sets and any fabricated number sets. This can be used as an ...
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