تأثیر پارامترهای هندسی الگوی انفجار بر خرج ویژه بهینه به کمک الگوریتم‌های خفاش و جستجوی کلاغ، مطالعه موردی: معدن سنگ‌آهن سادات سیریز زرند

نوع مقاله : مقاله پژوهشی

نویسندگان

گروه مهندسی معدن، مجتمع آموزش عالی زرند، کرمان، ایران

10.22034/anm.2023.19088.1571

چکیده

چال زنی و انفجار، ازجمله مهم‌ترین مراحل استخراج در معادن روباز هستند که بهینه­سازی آنها می­تواند در کاهش حجم حفاری، میزان مصرف مواد منفجره و درنهایت هزینه­های استخراج معادن سطحی مؤثر باشد. در این تحقیق، بر اساس مطالعات میدانی، تعداد 11 پارامتر حاصل از 130 مجموعه انفجار عملی در معدن سنگ‌آهن سادات سیریز زرند برداشت‌شده و ثبت گردید که 60 سری در ماده معدنی و 70 سری آن در باطله بودند. با توجه به ضریب همبستگی پایین بین داده­های باطله، فقط محاسبات مربوط به ماده معدنی در نظر گرفته شد. خرج ویژه این معدن با شش تابع مختلف ریاضی توسط نرم‌افزار spss مدل­سازی گردید و از بین آنها مدل تابع چندجمله­ای با ضرایب غیر صحیح برای پیش‌بینی خرج ویژه انتخاب شد. بهینه­سازی خرج ویژه توسط دو الگوریتم خفاش و جستجوی کلاغ انجام گردید. با توجه به الگوهای پیشنهادی، میزان خرج ویژه بهینه با الگوریتم‌های خفاش و جستجوی کلاغ به ترتیب 66/0 و 703/0 کیلوگرم بر مترمکعب به دست آمد و معلوم شد مقدار بهینه‌شده با الگوریتم خفاش، نتیجه مناسب‌تری را پیشنهاد می­دهد. با آنالیز حساسیت، پارامترهای حساس و مؤثر در این معدن برای خرج ویژه مشخص شدند. این آنالیز نشان داد، همه پارامترهای هندسی ورودی به‌کاررفته در مدل­سازی نسبت به خرج ویژه از حساسیت قوی برخوردار هستند و از بین آنها ضریب سفتی، بیشترین و خرج کل مصرفی، کم‌ترین حساسیت را دارد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

The effect of explosion parameters on the amount of Powder factor and its optimization using the bat algorithm and the crow search algorithm with a view on Zarand Sadat Siriz iron ore mine

نویسندگان [English]

  • Roghayeh Heydari
  • Seyed Mehdi Mousavi Nasab
Dept .of Mining Engineering, Zarand Higher Education Complex, Kerman, Iran
چکیده [English]

Choosing the right drilling and blasting methods is very important to improve mine productivity and increase profits, while increasing the safety of workers and the environment. One of the main goals in Blasting is to estimate the optimal amount of specific cost, which is described as the specific cost required for optimizing rock crushing, air blast, ground shaking, and rock throwing. In this Paper, to further improve the effect of blasting and increase the efficiency of mine production, we optimized the plan by considering the implementation of the blasting plan with respect to the drilling intervals, and a numerical simulation model was created to provide technical guidance for the optimization plan. In this Paper, data collection and analysis were done by the software and it was determined that with R^2=0.969, VAF=9.825, the lowest error is RMSE=0.031 and MAPE=0.323 with unit m^3kg/ . The polynomial function model with incorrect coefficients has a more satisfactory performance and this function model was subjected to sensitivity analysis using the cosine field method. The evaluation and analysis in this way also showed that the selected function model has a more accurate calculation of the specific cost. This proposed function was called in the bat algorithm and the crow search algorithm in MATLAB software, and the optimization operation was performed by the algorithms. In this Paper, the number of 11 data from 31 blasting series that were actually carried out in Sadat iron ore mine of Zarand series was collected. The special cost of this mine was modeled with 6 functions by spss software, and among them, the polynomial function model with incorrect coefficients was chosen to predict the special cost. The special cost optimization operation was performed by two bat algorithms and the crow search algorithm, and the special cost optimized by the algorithms was compared. By sensitivity analysis, the sensitive and effective parameters taken in this mine were identified for special spending. This analysis showed that all the input parameters used in this modeling have a strong sensitivity to the specific cost, and among them, the ratio of the height of the step to the thickness of the bar rock has the highest sensitivity and the total consumption cost has the lowest sensitivity.

کلیدواژه‌ها [English]

  • Powder factor
  • bat algorithm
  • crow search algorithm
  • sensitivity analysis
  • modeling
  • Sadat Siriz iron ore mine

مراجع

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  • تاریخ دریافت: 04 آبان 1401
  • تاریخ بازنگری: 23 آبان 1402
  • تاریخ پذیرش: 23 آبان 1402

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