نشریه مهندسی معدن

نشریه مهندسی معدن

استفاده از روش ترکیبی دیمتل و فرآیند تحلیل شبکه با رویکرد فازی برای رتبه‌بندی مولفه‌های ژئومکانیکی تاثیرگذار بر انتخاب روش‌های استخراج زیرزمینی

نوع مقاله : علمی - پژوهشی

نویسندگان
1 کاندیدای دکترا، دانشکده مهندسی معدن، دانشگاه صنعتی امیرکبیر، تهران، ایران
2 استاد، دانشکده معدن و علوم زمین، دانشگاه نظربایف، آستانا، قزاقستان
3 دانشیار، دانشکده مهندسی معدن، دانشگاه صنعتی امیرکبیر، تهران، ایران
چکیده
در وقوع ریسک‌های ژئومکانیکی در معادن و فضاهای زیرزمینی و همچنین در انتخاب یک روش استخراج زیرزمینی مناسب و ایمن نه یک فاکتور به‌تنهایی، بلکه مجموعه‌ای از فاکتورها در ارتباط با یکدیگر عمل می‌کنند. مطالعه، رتبه‌بندی و تعیین میزان اهمیت فاکتورهای ژئومکانیکی و زمین‌شناسی موثر در انتخاب یک روش استخراج زیرزمینی مناسب از دیدگاه ارتباط و اندرکنش موجود میان آن‌ها، علاوه بر کمک به انتخاب بهترین (ایمن‌ترین و سودآورترین) روش استخراج قبل از شروع فرآیند معدنکاری، می‌تواند به طراحی بهتر و ایمن‌تر معدن نیز کمک کند و باعث کاهش ریسک‌های متعاقب شود. بنابراین با توجه به اهمیت موضوع، در این تحقیق با استفاده از روش DANP فازی به رتبه‌بندی و تعیین میزان اهمیت فاکتورها از دیدگاه روابط موجود میان آن‌ها پرداخته شد. برای انجام این تحقیق، ابتدا فاکتورهای ژئومکانیکی و زمین‌شناسی تاثیرگذار در انتخاب روش مناسب برای استخراج زیرزمینی مطالعه و شناسایی شدند. سپس برای بررسی و تعیین میزان اهمیت آن‌ها از روش DANP فازی استفاده شد. برای اجرای این روش، ابتدا پرسشنامه‌هایی طراحی و در میان متخصصان توزیع و 19 پرسشنامه برای ارزیابی پارامترها دریافت شد. در نهایت با اجرای این روش، وزن نهایی فاکتورها محاسبه و سپس بر اساس وزن‌های به دست آمده رتبه‌بندی شدند. نتایج حاصل از تحقیق نشان می‌دهند که فاکتورهای مقاومت کششی توده‌سنگ (115/0)، فاصله‌داری ناپیوستگی‌ها (113/0)، تنش‌های برجا (109/0) و ساختارهای اصلی زمین‌شناسی کانسار با وزن 107/0، به ترتیب دارای بالاترین رتبه‌اند و بیشترین اهمیت در بین سایر فاکتورها را دارند.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Ranking the geomechanical factors affecting the selection of underground mining methods using a combined technique of DEMATEL and ANP with a fuzzy approach

نویسندگان English

Zeinab Jahanbani 1
Ali Mortazavi 2
Majid Ataee-pour 3
1 Amirkabir University of Technology, Department of Mining Engineering, Iran
2 Nazarbayev University, School of Mining and Geosciences, Kazakhstan
3 Amirkabir University of Technology, Department of Mining Engineering, Iran
چکیده English

In the occurrence of geomechanical risks in underground mines and choosing a suitable underground mining method, one factor and a set of factors are closely related to each other. Studying, ranking, and determining the importance of the geomechanical and geological factors affecting the selection of underground mining methods from the point of view of the relationship and interaction between them helps to choose the best (the safest and the most profitable) mining method before starting the mining process. It can also help to design a better and safer mine and to reduce the subsequent risks. Therefore, according to the importance of the subject, in this research, using the fuzzy DANP method, ranking and determining the significance of the factors from the point of view of the existing relationships between them was done. To conduct the present study, first, the influential geomechanical and geological factors in the selection of underground mining methods were studied and recognized. Then, the fuzzy DANP method was used to rank and determine their importance. To implement this technique, questionnaires were designed and distributed among experts, and then 19 questionnaires were received to evaluate the factors. Finally, by implementing this method, the final weight of the criteria was calculated, and then they were ranked based on their obtained weights. The results show that the factors of rock mass tensile strength (0.115), discontinuity spacing (0.113), in-situ stresses (0.109), and geological structures of the deposit with a weight of 0.107 have the highest rank, respectively. Therefore, the abovementioned criteria are the most important among other factors.

کلیدواژه‌ها English

Geomechanical criteria
underground mining method selection
fuzzy DANP
ranking the factors
Idris, M.A., 2014; "Probabilistic stability analysis of underground mine excavations", Luleå tekniska universitet.## Gupta, S. and Kumar, U., 2012; "An analytical hierarchy process (AHP)-guided decision model for underground mining method selection", International journal of mining, reclamation and environment, vol. 26, no. 4, pp. 324-336. ## Namin, F.S., Shahriar, K., Bascetin, A. and Ghodsypour, S., 2009; "Practical applications from decision-making techniques for selection of suitable mining method in Iran", Gospodarka Surowcami Mineralnymi, vol. 25, pp. 57-77. ## Alpay, S. and Yavuz, M., 2007; "A decision support system for underground mining method selection", International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Springer, pp. 334-343. ## Balusa, B.C. and Singam, J., 2018; "Underground mining method selection using WPM and PROMETHEE", Journal of the Institution of Engineers (India): Series D, vol. 99, no. 1, pp. 165-171. ## Fu, Z., Wu, X., Liao, H. and Herrera, F., 2018; "Underground mining method selection with the hesitant fuzzy linguistic gained and lost dominance score method", IEEE Access, vol. 6, pp. 66442-66458. ## Balusa, B.C. and Gorai, A.K., 2019; "Sensitivity analysis of fuzzy-analytic hierarchical process (FAHP) decision-making model in selection of underground metal mining method", Journal of Sustainable Mining, vol. 18, no. 1, pp. 8-17. ## Bajić, S., Bajić, D., Gluščević, B. and Ristić Vakanjac, V., 2020; "Application of fuzzy analytic hierarchy process to underground mining method selection", Symmetry, vol. 12, no. 2, p. 192. ## Ghazdali, O., Moustadraf, J., Tagma, T., Alabjah, B. and Amraoui, F., 2021; "Study and evaluation of the stability of underground mining method used in shallow-dip vein deposits hosted in poor quality rock", Mining of Mineral Deposits, vol. 15, no. 3, pp. 31-38. ## Ali, M.A. and Kim, J.-G., 2021; "Selection mining methods via multiple criteria decision analysis using TOPSIS and modification of the UBC method", Journal of Sustainable Mining, vol. 20. ## Namin, F.S., Ghadi, A. and Saki, F., 2022; "A literature review of Multi Criteria Decision-Making (MCDM) towards mining method selection (MMS)", Resources Policy, vol. 77, p. 102676. ## Abdelrasoul, M. E., Wang, G., Kim, J. G., Ren, G., Abd-El-Hakeem Mohamed, M., Ali, M. A. and Abdellah, W.R., 2022; "Review on the development of mining method selection to identify new techniques using a cascade-forward backpropagation neural network", Advances in Civil Engineering, pp. 1-16. ## Li, S., Huang, Q., Hu, B., Pan, J., Chen, J., Yang, J. and Yu, H., 2023; "Mining method optimization of difficult-to-mine complicated orebody using Pythagorean fuzzy sets and TOPSIS method", Sustainability, 15(4), 3692. ## Kiani, M., Hosseini, S.H., Taji, M. and Gholinejad, M., 2021; "Mining of Mineral Deposits".## Selerio Jr, E., Caladcad, J.A., Catamco, M. R., Capinpin, E. M. and Ocampo, L., 2022; "Emergency preparedness during the COVID-19 pandemic: Modelling the roles of social media with fuzzy DEMATEL and analytic network process", Socio-economic planning sciences, vol. 82, p. 101217. ## Muhafidzah A. and Ramli, K., 2022; "Interdependency and Priority of Critical Infrastructure Information (Case Study: Indonesia Payment System)", Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 6, no. 3, pp. 403-411. ## Hamedi, H. and Mehdiabadi, A., 2020; "Entrepreneurship resilience and Iranian organizations: application of the fuzzy DANP technique", Asia Pacific Journal of Innovation and Entrepreneurship, vol. 14, no. 3, pp. 231-247. ## Valmohammadi, C. and Khaki, M.M., 2019; "Determinants for selection of projects for exploitation of mines in Iran", Resources Policy, vol. 63, p. 101424. ## Baykasoğlu, A., Kaplanoğlu, V., Durmuşoğlu, Z.D. and Şahin, C., 2013; "Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection," Expert systems with applications, vol. 40, no. 3, pp. 899-907. ## Lin, C.-J. and Wu, W.-W., 2008; "A causal analytical method for group decision-making under fuzzy environment" Expert Systems with Applications, vol. 34, no. 1, pp. 205-213. ## Lavasani, S.M., Zendegani, A. and Celik, M., 2015; "An extension to Fuzzy Fault Tree Analysis (FFTA) application in petrochemical process industry", Process Safety and Environmental Protection, vol. 93, pp. 75-88. ## MIRI, L.M., Wang, J., Yang, Z. and Finlay, J., 2011; "Application of fuzzy fault tree analysis on oil and gas offshore pipelines".## Alpay, S. and Yavuz, M., 2009; "Underground mining method selection by decision making tools", Tunnelling and Underground Space Technology, vol. 24, no. 2, pp. 173-18. ## Ataei, M., Jamshidi, M., Sereshki, F. and Jalali, S., 2008; "Mining method selection by AHP approach", Journal of the Southern African Institute of Mining and Metallurgy, vol. 108, no. 12, pp. 741-749. ## Ataei, M., Shahsavany, H. and Mikaeil, R., 2013; "Monte Carlo Analytic Hierarchy Process (MAHP) approach to selection of optimum mining method", International Journal of Mining Science and Technology, vol. 23, no. 4, pp. 573-578. ## Balusa, B.C. and Gorai, A. K., 2019; "A comparative study of various multi-criteria decision-making models in underground mining method selection", Journal of The Institution of Engineers (India): Series D, vol. 100, no. 1, pp. 105-121. ## Bogdanovic, D., Nikolic, D. and Ilic, I., 2012; "Mining method selection by integrated AHP and PROMETHEE method", Anais da Academia Brasileira de Ciências, vol. 84, pp. 219-233. ## Dehghani, H., Siami, A. and Haghi, P., 2017; "A new model for mining method selection based on grey and TODIM methods", Journal of Mining and Environment, vol. 8, no. 1, pp. 49-60. ## Iphar M. and Alpay, S., 2019; "A mobile application based on multi-criteria decision-making methods for underground mining method selection", International Journal of Mining, Reclamation and Environment, vol. 33, no. 7, pp. 480-504. ## Karadogan, A., Kahriman, A. and Ozer, U., 2008; "Application of fuzzy set theory in the selection of underground mining method", Journal of the Southern African Institute of Mining and Metallurgy, vol. 108, no. 2, pp. 73-79. ## Karimnia H. and Bagloo, H., 2015; "Optimum mining method selection using fuzzy analytical hierarchy process–Qapiliq salt mine, Iran", International Journal of Mining Science and Technology, vol. 25, no. 2, pp. 225-230. ## Mikaeil, R., Naghadehi, M.Z., Ataei, M. and Khalokakaie, R., 2009; "A decision support system using fuzzy analytical hierarchy process (FAHP) and TOPSIS approaches for selection of the optimum underground mining method", Archives of Mining Sciences, vol. 54, no. 2, pp. 341-368. ## Naghadehi, M. Z., Mikaeil, R. and Ataei, M., 2009; "The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran", Expert Systems with Applications, vol. 36, no. 4, pp. 8218-8226. ## Popovic, G., Djordjevic, B. and Milanovic, D., 2019; "Multiple criteria approach in the mining method selection", Industrija, vol. 47, no. 4. ## Yavuz, M., 2015; "The application of the analytic hierarchy process (AHP) and Yager’s method in underground mining method selection problem", International Journal of Mining, Reclamation and Environment, vol. 29, no. 6, pp. 453-475. ## Yazdani-Chamzini, A., Haji Yakchali, S. and Kazimieras Zavadskas, E., 2012; "Using a integrated MCDM model for mining method selection in presence of uncertainty", Economic research-Ekonomska istraživanja, vol. 25, no. 4, pp. 869-904. ## Heidarzadeh, S., Saeidi, A. and Rouleau, A., 2020; "Use of probabilistic numerical modeling to evaluate the effect of geomechanical parameter variability on the probability of open-stope failure: a case Study of the Niobec Mine, Quebec (Canada)", Rock Mechanics and Rock Engineering, vol. 53, no. 3, pp. 1411-1431. ## Cai, M., 2011; "Rock mass characterization and rock property variability considerations for tunnel and cavern design", Rock mechanics and rock engineering, vol. 44, pp. 379-399. ## Langford, J.C., 2013; "Application of reliability methods to the design of underground structures", Queen's University (Canada). ## Brady, B.H. and Brown, E.T., 2006; "Rock mechanics: for underground mining", Springer science & business media. ## Milne, D.M., 1997; "Underground design and deformation based on surface geometry", University of British Columbia. ## Palmstrom, A. and Stille, H., 2007; "Ground behaviour and rock engineering tools for underground excavations", Tunnelling and Underground Space Technology, vol. 22, no. 4, pp. 363-376. ## Rafiee, R., Ataei, M., Khalokakaie, R., Jalali, S.M.E. and Sereshki, F., 2015; "Determination and assessment of parameters influencing rock mass cavability in block caving mines using the probabilistic rock engineering system", Rock Mechanics and Rock Engineering, vol. 48, pp. 1207-1220. ## Mishra, R., Kiuru, R., Uotinen, L., Janiszewski, M. and Rinne, M., 2019; "Combining expert opinion and instrumentation data using Bayesian networks to carry out stope collapse risk assessment", MGR 2019: Proceedings of the First International Conference on Mining Geomechanical Risk, Australian Centre for Geomechanics, pp. 85-96. ## Antoniou, A.A. and Lekkas, E., 2010; "Rockfall susceptibility map for Athinios port, Santorini island, Greece", Geomorphology, vol. 118, no. 1-2, pp. 152-166. ## Pender, M. and Free, M., 1993; "Stability assessment of slopes in closely jointed rock masses", ISRM International Symposium-EUROCK 93, OnePetro. ## Brown, E.T., 2012; "Risk assessment and management in underground rock engineering—an overview", Journal of Rock Mechanics and Geotechnical Engineering, vol. 4, no. 3, pp. 193-204. ## Brown, E.T., 2002; "Block caving geomechanics".##
دوره 19، شماره 63
تابستان 1403
صفحه 1-14

  • تاریخ دریافت 11 شهریور 1402
  • تاریخ بازنگری 01 تیر 1403
  • تاریخ پذیرش 03 مرداد 1403