Application of multivariate analysis for prediction of blast-induced ground vibrations

Hudaverdi, Turker

doi:10.1016/j.soildyn.2012.08.002

Cited by 67 publications

(30 citation statements)

References 10 publications

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“…VYO yükseldikçe modelin başarısı artmaktadır. VYO'nun %100 olması mükemmel bir model kurulduğunu, regresyon analizi ile tahmin edilen parçacık hızı değerlerinin hatasız olduğunu gösterir [22,23]. Formülle hesaplanan değerler ile ölçülen değerler arasındaki ilişki doğrusal regresyon kullanılarak da incelenmiştir.…”

Section: çOk Değġġkenlġ Regresyon Analġzġunclassified

Farklı Regresyon Modelleri ile Patlatma Kaynaklı Yer Sarsıntısının Tahmin Edilmesi

Hudaverdi¹

2015

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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ÖzetPatlatma kaynaklı yer sarsıntısı madenlerde gerçekleştirilen kaya patlatma operasyonunun en önemli çevresel etkilerindendir. Bu çalışmada ölçekli mesafe kavramına dayanan geleneksel yer sarsıntısı tahmin modelleriyle bir taş ocağında patlatma kaynaklı yer sarsıntısı tahmin edilmiştir. Patlatma tasarım parametrelerinin yer sarsıntısı oluşumundaki etkisi tartışılmıştır. Çok değişkenli regresyon analizi tekniği kullanılarak, patlatma tasarım parametrelerinin göz önüne alındığı yeni bir yer sarsıntısı tahmin denklemi geliştirilmiştir. Oluşturulan regresyon modelleri farklı hata kriterleri kullanılarak ayrıntılı olarak karşılaştırılmıştır. Çok değişkenli regresyon analizinin patlatma kaynaklı titreşimlerin tahmininde başarıyla kullanılabileceği ortaya konmuştur. Arazide görev yapan mühendislere sunulan farklı regresyon yaklaşımları yer sarsıntısı tahminindeki başarı oranını artıracaktır. Anahtar Kelimeler: Çok değişkenli regresyon, Kaya patlatma, Yer sarsıntısı, Varyans analizi Prediction of Blast Induced Ground Vibration Using Various Regression Models AbstractBlast induced ground vibration is one of the most important environmental effects of rock blasting operations in mines. In this research, blast induced ground vibration is predicted in a quarry by the models which use traditional scaled distance approach. Effect of the blast design parameters on blast vibrations is investigated. A new blast vibration prediction model, which consists of blast design parameters, is developed by multivariate regression analysis. Created regression models are compared using several error criterions in detail. It is proven that multivariate regression analysis can be used to predict blast induced vibrations successfully. Different regression analysis approaches will help site engineers increase accuracy of vibration prediction.

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Section: çOk Değġġkenlġ Regresyon Analġzġunclassified

Farklı Regresyon Modelleri ile Patlatma Kaynaklı Yer Sarsıntısının Tahmin Edilmesi

Hudaverdi¹

2015

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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“…One of the most important operations in mining operation is Blasting (Hudaverdi, 2012;Kecojevic & Radomsky, 2005;. Selecting suitable pattern causes to reduction of blasting costs and operational problems in following mining stages.…”

Section: Introductionmentioning

confidence: 99%

“…Suitable blasting pattern should be economically and technically acceptable (Hudaverdi, 2012;Sanchidrián et al, 2006). In the evaluation of the most suitable blasting patterns, Environmental effects of blasting should be also considered in order to provide desirable safety condition (Hudaverdi, 2012;Kecojevic & Radomsky, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…In the evaluation of the most suitable blasting patterns, Environmental effects of blasting should be also considered in order to provide desirable safety condition (Hudaverdi, 2012;Kecojevic & Radomsky, 2005). The main aim of blasting operation in mine is generation of Suitable fragmentation size and diminution of undesirable effects such as ground vibration, fly rock, back break etc.…”

Section: Introductionmentioning

confidence: 99%

“…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%

See 2 more Smart Citations

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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Advanced Analytics for Rock Blasting and Explosives Engineering in Mining

Mariz

Soofastaei

2022

Advanced Analytics in Mining Engineering

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Application of multivariate analysis for prediction of blast-induced ground vibrations

Cited by 67 publications

References 10 publications

Farklı Regresyon Modelleri ile Patlatma Kaynaklı Yer Sarsıntısının Tahmin Edilmesi

Farklı Regresyon Modelleri ile Patlatma Kaynaklı Yer Sarsıntısının Tahmin Edilmesi

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

Advanced Analytics for Rock Blasting and Explosives Engineering in Mining

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