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Engineering with Computers

, Volume 35, Issue 1, pp 315–322 | Cite as

Development of a novel soft-computing framework for the simulation aims: a case study

  • Wei GaoEmail author
  • Masoud Karbasi
  • Ali Mahmodi DerakhshEmail author
  • Ahmad Jalili
Original Article

Abstract

The simulation of blast-induced air-overpressure (AOp) has been a major area of interest in the recent years, and many models have been employed in this field. The scope of this paper is to propose a novel soft-computing framework for predicting the AOp through the implementation of hybrid evolutionary model based on artificial neural network (ANN) with teaching–learning-based optimization (TLBO). The parameters considered during the formulation of the prediction model were maximum charge per delay, rock mass rating, and distance from the blasting face as the inputs and AOp as the output. Totally, 85 blasting events in Shur river dam region have been monitored and the mentioned parameters have been measured. Then, the performances and prediction efficiency of the models have been compared on the basis of performance indices, namely the R square (R2), root-mean-square error (RMSE). The obtained results show that the ANN–TLBO with R2 of 0.932 and RMSE of 2.56 yields the better performance for the prediction of AOp as compared to ANN. As a conclusion, it can be found that the proposed ANN–TLBO model has an excellent potential for the prediction aims.

Keywords

Blasting Air-overpressure Hybrid model ANN–TLBO 

Notes

Acknowledgements

The authors really appreciate Dr. Mahdi Hasanipanah who allowed us to access and use his data.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Information Science and TechnologyYunnan Normal UniversityKunmingChina
  2. 2.Water Engineering Department, Faculty of AgricultureUniversity of ZanjanZanjanIran
  3. 3.Young Researchers and Elite Club, West Tehran BranchIslamic Azad UniversityTehranIran
  4. 4.Department of Computer Engineering and ITShiraz University of TechnologyShirazIran

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