Selection of Optimum Tunnel Support System Using Aggregated Ranking of SAW, TOPSIS and LA Methods

The selection of optimum support system is a key step in the successful design operation of tunneling, rock mass stabilization and minimization of plastic zone extension around a tunnel. In this context, it is not sufficient to rely only on the experiences of design engineers, but taking all effective measures and parameters is necessary to do a proper choice. In this paper, multi attribute decision making (MADM) methods including simple additive weighting (SAW), technique for order preference by similarity to ideal solution (TOPSIS), and linear assignment (LA) are used for selection of a proper support system for Beheshtabad water transporting tunnel from among the six proposed support systems by considering the attributes of cost, safety factor, applicability, installation time, displacement and capable of mechanization. Aggregating the results of ranking by the ranks mean, borda and copland techniques led to the suggestion of a support system of injectional rock-bolt 3 m in length with 1.5×1.5 m distance together with shotcrete by 10 cm in thickness.

[1]  A. Uysal,et al.  Shortwall stoping versus sub-level longwall caving-retreat in Eli coal fieds , 2006 .

[2]  Ayhan Kesimal,et al.  APPLICATION OF FUZZY MULTIPLE ATTRIBUTE DECISION MAKING IN MINING OPERATIONS , 2002 .

[3]  Mohammad Ataei,et al.  Suitable mining method for Golbini No. 8 deposit in Jajarm (Iran) using TOPSIS method , 2008 .

[4]  R. Minnitt,et al.  Ranking the efficiency of selected platinum mining methods using the analytic hierarchy process ( AHP ) , 2022 .

[5]  Vassilios Kazakidis,et al.  Decision making using the analytic hierarchy process in mining engineering , 2004 .

[6]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[7]  The Institution of Mining and Metallurgy , 1956, Nature.

[9]  M. Ataei Multicriteria selection for an alumina-cement plant location in East Azerbaijan province of Iran , 2005 .

[10]  T. J. O'Neil Application of Computers and Operations Research in the Mineral Industry , 1979 .

[11]  M. Ataei,et al.  A new approach to mining method selection based on modifying the Nicholas technique , 2010, Appl. Soft Comput..

[12]  Sean D Dessureault,et al.  Capital investment appraisal for the integration of new technology into mining systems , 2000 .

[13]  O. Acaroglu,et al.  Selection of roadheaders by fuzzy multiple attribute decision making method , 2006 .

[14]  Mohammad Ataei,et al.  Mining method selection by AHP approach , 2008 .

[15]  Edmundas Kazimieras Zavadskas,et al.  Risk evaluation of tunneling projects , 2012 .

[16]  A de Almeida,et al.  Mining methods selection based on multicriteria models , 2005 .

[17]  Ali Kahriman,et al.  Application of fuzzy set theory in the selection of underground mining method , 2008 .

[18]  Mohsen Safari,et al.  Mineral processing plant location using the analytic hierarchy process——a case study:the Sangan iron ore mine(phase 1) , 2010 .

[19]  Kazem Oraee,et al.  A New Approach for Determination of Tunnel Supporting System Using Analytical Hierarchy Process (AHP) , 2009 .

[20]  Zhou Fubao,et al.  A comprehensive hazard evaluation system for spontaneous combustion of coal in underground mining , 2010 .

[21]  Ali Ismet Kanli,et al.  EQS : a computer software using fuzzy logic for equipment selection in mining engineering , 2006 .

[22]  Kamran Goshtasbi,et al.  A multi-dimensional approach to the assessment of tunnel excavation methods , 2011 .

[23]  B. Elevli,et al.  Underground haulage selection: Shaft or ramp for a small-scale underground mine , 2002 .

[24]  Edmundas Kazimieras Zavadskas,et al.  Developing a new hybrid MCDM method for selection of the optimal alternative of mechanical longitudinal ventilation of tunnel pollutants during automobile accidents , 2013 .

[25]  Melih Iphar,et al.  The optimum support design selection by using AHP method for the main haulage road in WLC Tuncbilek colliery , 2008 .

[26]  Daniele Peila,et al.  The use of the Analytic Hierarchy Process for the comparison between microtunnelling and trench excavation , 2005 .

[27]  Adel Badri,et al.  A new practical approach to risk management for underground mining project in Quebec , 2013 .

[28]  Behrooz Karimi,et al.  Deriving preference order of open pit mines equipment through MADM methods: Application of modified VIKOR method , 2011, Expert Syst. Appl..

[29]  O. Acaroglu,et al.  Analytical hierarchy process for selection of roadheaders by , 2006 .

[30]  A. Rahimi Ghazikalayeh,et al.  Application of Fuzzy Hybrid Analytic Network Process in Equipment Selection of Open-Pit Metal Mines , 2013 .

[31]  Ching-Lai Hwang,et al.  Multiple attribute decision making : an introduction , 1995 .

[32]  Reza Farzipoor Saen,et al.  A new approach for prioritization in fuzzy AHP with an application for selecting the best tunnel ventilation system , 2013 .

[33]  B. Elevli,et al.  Multicriteria choice of ore transport system for an underground mine: application of PROMETHEE methods , 2004 .

[34]  Yimin Zhang,et al.  The Evalution Of The Core Competition Of The Wugang Mining Cooperation Using The Analytic Hierarchy Process , 2013 .

[35]  Morteza Osanloo,et al.  Selection of practical bench height in open pit mining using a multi-criteria decision making solution , 2010 .

[36]  Mahmut Yavuz,et al.  Underground mining method selection by decision making tools , 2009 .

[37]  Siamak Haji Yakhchali,et al.  Tunnel Boring Machine (TBM) selection using fuzzy multicriteria decision making methods , 2012 .

[38]  Mohammad Ataei,et al.  The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran , 2009, Expert Syst. Appl..

[39]  Mohammad Ataei,et al.  Mining method selection by multiple criteria decision making tools , 2004 .