• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Related Links
    • FAQ
    • Peer Review Process
    • News
    • Journal Forms
  • Guide for Authors
  • Submit Manuscript
  • Reviewers
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Journal of Mining and Environment
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 10 (2019)
Issue Issue 4
Issue Issue 3
Issue Issue 2
Issue Issue 1
Volume Volume 9 (2018)
Volume Volume 8 (2017)
Volume Volume 7 (2016)
Volume Volume 6 (2015)
Volume Volume 5 (2014)
Volume Volume 4 (2013)
Volume Volume 3 (2012)
Volume Volume 2 (2011)
Volume Volume 1 (2010)
Kadkhodaei, M., Ghasemi, E. (2019). Development of a GEP model to assess CERCHAR abrasivity index of rocks based on geomechanical properties. Journal of Mining and Environment, 10(4), 917-928. doi: 10.22044/jme.2019.8141.1684
M. H. Kadkhodaei; E. Ghasemi. "Development of a GEP model to assess CERCHAR abrasivity index of rocks based on geomechanical properties". Journal of Mining and Environment, 10, 4, 2019, 917-928. doi: 10.22044/jme.2019.8141.1684
Kadkhodaei, M., Ghasemi, E. (2019). 'Development of a GEP model to assess CERCHAR abrasivity index of rocks based on geomechanical properties', Journal of Mining and Environment, 10(4), pp. 917-928. doi: 10.22044/jme.2019.8141.1684
Kadkhodaei, M., Ghasemi, E. Development of a GEP model to assess CERCHAR abrasivity index of rocks based on geomechanical properties. Journal of Mining and Environment, 2019; 10(4): 917-928. doi: 10.22044/jme.2019.8141.1684

Development of a GEP model to assess CERCHAR abrasivity index of rocks based on geomechanical properties

Article 7, Volume 10, Issue 4, Autumn 2019, Page 917-928  XML PDF (1.74 MB)
Document Type: Original Research Paper
DOI: 10.22044/jme.2019.8141.1684
Authors
M. H. Kadkhodaei; E. Ghasemi email
Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran
Abstract
The CERCHAR abrasivity test is very popular for determination of rock abrasivity. An accurate estimation of the CERCHAR abrasivity index (CAI) is useful for excavation operation costs. This paper presents a model to calculate CAI based on the gene expression programming (GEP) approach. This model is trained and tested based on a database collected from the experimental results available in the literature. The proposed GEP model predicts CAI based on two basic geomechanical properties of rocks, i.e. rock abrasivity index (RAI) and Brazilian tensile strength (BTS). Root mean square error (RMSE), mean absolute error (MAE), Nash-Sutcliffe efficiency (NSE), and coefficient of determination (R2) are used to measure the model performance. Furthermore, the developed GEP model is compared with linear and non-linear multiple regression and other existing models in the literature. The results obtained show that GEP is a strong technique for the prediction of CAI.
Keywords
CERCHAR Abrasivity Index; Rock Abrasivity Index; Brazilian Tensile Strength; Gene Expression Programming
Main Subjects
Rock Mechanics
Statistics
Article View: 143
PDF Download: 109
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

web site traffic statistics

Creative Commons License

JME is licensed under a Creative Commons Attribution 4.0 International License.

Journal Management System. Designed by sinaweb.