Estimation Of Los Angeles And Micro Deval Abrasion Values For Gneiss And Granite Using Anfis Approach

Authors

  • Irina Pachoukova Department of Civil Engineering, Ecole National Superieure d'Ingenieurs, University of Lome, Lome, Togo
  • Adekunlé A. Salami Department of Electrical Engineering, Ecole National Superieure d'Ingenieurs, University of Lome, Lome, Togo
  • Ayité S. A. Ajavon Department of Electrical Engineering, Ecole National Superieure d'Ingenieurs, University of Lome, Lome, Togo
  • Ampah Kodjo Christophe Johnson Geological Department, Faculty of Scienece, University of Lome, Lome, Togo

Keywords:

prediction, ANFIS, MLR, Los Angeles abrasion test (LA), Micro-Deval abrasion test (MD), rock drilling test

Abstract

Gneisses and granites mechanical properties knowledge such as the Los Angeles and Micro-Deval coefficients is very important for the engineer when designing and building civil engineering works. Laboratories test often performed to obtain Los Angeles and Micro-Deval values are expensive and time consuming. For this, the depths (parallel and perpendicular to the foliation planes) obtained during a rock drilling test will be used to estimate its coefficients Los Angeles and Micro-Deval. In this study, an ANFIS approach is used to estimate gneisses and granites Los Angeles and Micro-Deval that have been compared to the Multiple Linear Regression method. For this purpose, we have used a database of a sample size of 80 to determine the parameters of the ANFIS and Multiple Linear Regression   models, and a second sample of size 15 used for the validation tests. The results obtained show us that we can estimate the mechanical properties (Los Angeles and Micro-Deval) of gneisses and granites with ANFIS approach.

Author Biographies

Irina Pachoukova, Department of Civil Engineering, Ecole National Superieure d'Ingenieurs, University of Lome, Lome, Togo

Civil Engineering Department,Reserch Team Engineer Sciences, Higher National School Engineers

Adekunlé A. Salami, Department of Electrical Engineering, Ecole National Superieure d'Ingenieurs, University of Lome, Lome, Togo

Reserch Team Engineer Sciences, Higher National School Engineers

Ayité S. A. Ajavon, Department of Electrical Engineering, Ecole National Superieure d'Ingenieurs, University of Lome, Lome, Togo

Reserch Team Engineer Sciences, Higher National School Engineers

Ampah Kodjo Christophe Johnson, Geological Department, Faculty of Scienece, University of Lome, Lome, Togo

Geological Department, Faculty of Sciences

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Published

2020-01-27

Issue

Engineering Review, Vol. 40, No. 1

Section

Articles

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