Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system

Iphar, Melih; Yavuz, Mahmut; Ak, Hakan

doi:10.1007/s00254-007-1143-6

Cited by 136 publications

(48 citation statements)

References 23 publications

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“…Wherever back break has been the blasting problem in a new bench, the lower amount of back break is considered as the blasting pattern evaluation factor Gate et al 2005;Khandelwal and Monjezi 2012;Monjezi et al 2012;Monjezi and Dehghani 2008;Monjezi et al 2010b). In addition, a few endeavours have been made to diminish ground vibration (Erarslan et al 2008;Ak et al 2009;Hudaverdi 2012;Shuran and Shujin 2011;Bakhshandeh Amnieh et al 2012;Dehghani and Ataee-Pour 2011;Monjezi et al 2010a;Guosheng et al 2011;Ak and Konuk 2008;Iphar et al 2008;Monjezi et al 2011b). The essential issue of these examinations is to recognize stand out of the impact criteria in the blasting operation enhancement.…”

Section: Introductionmentioning

confidence: 97%

Blasting Operation Management Using Mathematical Methods

Yari

Monjezi

Bagherpour

et al. 2014

Engineering Geology for Society and Territory - Volume 1

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Blasting is one of the most important operations in the mining projects. Inappropriate blasting pattern may lead to unwanted events such as poor fragmentation, back break, fly rock etc. and affect the whole operation physically and economically. In fact selecting of the most suitable pattern among previously performed patterns can be considered as a Multi Attribute Decision Making (MADM) problem. In this paper, firstly, from various already performed patterns, efficient and inefficient patterns were differentiated using Data Envelopment Analysis (DEA). In the second step numerical Taxonomy method was used for ranking the remaining efficient patterns and recognizing the most suitable pattern in the Sungun copper mine, Iran. According to the obtained results, blasting pattern with burden of 3 m, spacing of 4 m and stemming of 3.2 m was selected as the best pattern and suggested to be considered for the future operation.

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Section: Introductionmentioning

confidence: 97%

Blasting Operation Management Using Mathematical Methods

Yari

Monjezi

Bagherpour

et al. 2014

Engineering Geology for Society and Territory - Volume 1

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“…In order to achieve a reasonable fly rock distance for providing safety in mine, decrease of fly rock is one of the main worries of the blasting designers Bajpayee et al, 2002Bajpayee et al, , 2003Bajpayee et al, , 2004aBajpayee et al, , 2004bGhasemi et al, 2012aGhasemi et al, , 2012bKecojevic & Radomsky, 2005;Little & Blair, 2010;Monjezi et al, 2012;Ning, 1999;Rehak et al, 2001;Rezaei et al, 2011;Stojadinović et al, 2011;Tota et al, 2001). In some cases that ground vibration and air blasting has caused some problems in mines designer should predict these phenomena and redesign blasting pattern (Ak et al, 2009;Bakhshandeh Amnieh et al, 2012;Dehghani & Ataee-Pour, 2011;Guosheng et al, 2011;Hudaverdi, 2012;Iphar et al, 2008;Monjezi et al, 2010aShuran & Shujin, 2011).…”

Section: Introductionmentioning

confidence: 99%

Selection of Most Proper Blasting Pattern in Mines Using Linear Assignment Method: Sungun Copper Mine / Wybór Najodpowiedniejszego Schematu Prowadzenia Prac Strzałowych W Kopalni Miedzi Sungun Z Użyciem Metody Przyporządkowania Liniowego

Yari¹,

Bagherpour²,

Jamali³

et al. 2015

Archives of Mining Sciences

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One of the most important operations in mining is blasting. Improper design of blasting pattern will cause technical and safety problems. Considering impact of results of blasting on next steps of mining, correct pattern selection needs a great cautiousness. In selecting of blasting pattern, technical, economical and safety aspects should be considered. Thus, most appropriate pattern selection can be defined as a Multi Attribute Decision Making (MADM) problem. Linear assignment method is one of the very applicable methods in decision making problems. In this paper, this method was used for the first time to evaluate blasting patterns in mine. In this ranking, safety and technical parameters have been considered to evaluate blasting patterns. Finally, blasting pattern with burden of 3.5 m, spacing of 4.5 m, stemming of 3.8 m and hole length of 12.1 m has been presented as the most suitable pattern obtained from linear assignment model for Sungun Copper Mine.

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“…It takes the advantage of recognizing patterns and adapting the method to cope with the changing environment from neural networks and it takes the advantage of incorporating human knowledge and expertise to deal with uncertainty and imprecision taken from fuzzy logic. Due to these advantages, the ANFIS has been increasingly used in earth sciences in the applications complicated by high uncertainty (Gokceoglu et al 2004;Singh et al 2007;Iphar et al 2008;Yilmaz and Yuksek 2009;Dagdelenler et al 2011;Kucuk et al 2011;Yilmaz and Kaynar 2011;Basarir et al 2014;Asrari et al 2015;Basarir and Karpuz 2016;Fattahi 2016). Basarir et al used one of the evolving soft computing methods, ANFIS, for the interpretation and analysis of the MWD (Measurement While Drilling) data for the prediction of Rock Quality Designation (RQD) , percentage of drill core pieces in length of 10 cm or more.…”

Section: Adaptive Neuro Fuzzy Inference System (Anfis)mentioning

confidence: 99%

Computational monitoring in real time: review of methods and applications

Dyskin

Başarır

Doherty

et al. 2018

Geomech. Geophys. Geo-energ. Geo-resour.

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Continuous monitoring of mechanical parameters determining the state of natural and manmade systems is essential in a wide range of engineering disciplines from mechanical to civil and geotechnical engineering. To be effective, the monitoring response time needs to be commensurate with the characteristic time of variation of the processes being monitored e.g. from seconds as for example in some machinery, to weeks and months for mining excavations and years in the case of structures. The methods of measurement can therefore differ significantly for different applications. In spite of this, the methods of information processing-the computational monitoring-have considerable commonality. This review focuses on the methods of computational monitoring in solid and structural mechanics problems in different engineering applications. The traditional methods of monitoring are reviewed along with the corresponding computational and measurement methods. The basic principles of the computational monitoring in real time are established.

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Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system

Cited by 136 publications

References 23 publications

Blasting Operation Management Using Mathematical Methods

Blasting Operation Management Using Mathematical Methods

Selection of Most Proper Blasting Pattern in Mines Using Linear Assignment Method: Sungun Copper Mine / Wybór Najodpowiedniejszego Schematu Prowadzenia Prac Strzałowych W Kopalni Miedzi Sungun Z Użyciem Metody Przyporządkowania Liniowego

Computational monitoring in real time: review of methods and applications

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