Neural Computing and Applications

, Volume 29, Issue 9, pp 457–465 | Cite as

Feasibility of ICA in approximating ground vibration resulting from mine blasting

  • Danial Jahed Armaghani
  • Mahdi Hasanipanah
  • Hassan Bakhshandeh Amnieh
  • Edy Tonnizam Mohamad
Original Article

Abstract

Precise prediction of blast-induced ground vibration is an essential task to reduce the environmental effects in the surface mines, civil and tunneling works. This research investigates the potential of imperialist competitive algorithm (ICA) in approximating ground vibration as a result of blasting at three quarry sites, namely Ulu Tiram, Pengerang and Masai in Malaysia. In ICA modeling, two forms of equations, namely power and quadratic, were developed. For comparison aims, several empirical models were also used. In order to develop the ICA and empirical models, maximum charge weight used per delay (W) and the distance between blasting sites and monitoring stations (D) were utilized as the independent variables, while, peak particle velocity (PPV), as a blast-induced ground vibration descriptor, was utilized as the dependent variable. Totally, 73 blasting events were monitored, and the values of W, D and PPV were carefully measured. Two statistical functions, i.e., root mean square error and coefficient of multiple determination (R 2) were used to compare the performance capability of those prediction models. Simulation results show that the proposed ICA quadratic form can get more accurate predicting results than the ICA power form and empirical models.

Keywords

Blasting Peak particle velocity Imperialist competitive algorithm Empirical models 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.

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Copyright information

© The Natural Computing Applications Forum 2016

Authors and Affiliations

  • Danial Jahed Armaghani
    • 1
  • Mahdi Hasanipanah
    • 2
  • Hassan Bakhshandeh Amnieh
    • 3
  • Edy Tonnizam Mohamad
    • 1
  1. 1.Department of Geotechnics and Transportation, Faculty of Civil EngineeringUniversiti Teknologi Malaysia (UTM)SkudaiMalaysia
  2. 2.Department of Mining EngineeringUniversity of KashanKashanIran
  3. 3.School of Mining, College of EngineeringUniversity of TehranTehranIran

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