Support Vector Machines for the Estimation of Specific Charge in Tunnel Blasting

Authors

  • Aref Alipour
    Affiliation
    Faculty of Mining Engineering, Urmia University of Technology, Urmia, P.O. Box 57166-17165, Iran
  • Mojtaba Mokhtarian-Asl
    Affiliation
    Faculty of Mining Engineering, Urmia University of Technology, Urmia, P.O. Box 57166-17165, Iran
  • Mostafa Asadizadeh
    Affiliation
    Department of Mining Engineering, Hamedan University of Technology, Hamedan, 65155-579, Iran
https://doi.org/10.3311/PPci.17790

Abstract

Mine tunnels, short transportation tunnels, and hydro-power plan underground spaces excavations are carried out based on Drilling and Blasting (D&B) method. Determination of specific charge in tunnel D&B, according to the involved parameters, is very significant to present an appropriate D&B design. Suitable explosive charge selection and distribution lead to reduced undesirable effects of D&B such as inappropriate pull rate, over-break, under-break, unauthorized ground vibration, air blast, and fly rock. So far, different models are presented to estimate specific charge in tunnel blasting. In this study, 332 data sets, including geomechanical characteristics, D&B, and specific charge are gathered from 33 tunnels. The data are related to three dams and hydropower plans in Iran (Gotvand, Masjed-Solayman, and Siah-Bishe). Specific charge is modeled in inclined hole cut drilling pattern. In this regard, Support Vector Machine (SVM) algorithm based on polynomial Kernel function is used as a tool for modeling. Rock Quality Designation (RQD) index, Uniaxial Compressive Strength (UCS), tunnel cross-section area, maximum depth of blast hole, and blast hole coupling ratio are considered as independent input variables and the specific charge is considered as a dependent output variable. The modeling results confirm the acceptable performance of SVM in specific charge estimation with minimum error.

Keywords:

tunnel, drilling and blasting, specific drilling, Support Vector Machine

Citation data from Crossref and Scopus

Published Online

2021-05-07

How to Cite

Alipour, A., Mokhtarian-Asl, M., Asadizadeh, M. “Support Vector Machines for the Estimation of Specific Charge in Tunnel Blasting”, Periodica Polytechnica Civil Engineering, 65(3), pp. 967–976, 2021. https://doi.org/10.3311/PPci.17790

Issue

Section

Research Article