Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming

Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming

In rock engineering projects, statically determined parameters are more reflective of actual load conditions than dynamic parameters. This study reports a new and efficient approach to the formulation of the static modulus of elasticity Es applying gene expression programming (GEP) with nondestructi...

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Main Author: Umit Atici
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2016/2063987
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spelling doaj-2e0c079c7d9c4b7d830e6606a949bd9a2020-11-25T00:53:51ZengHindawi LimitedAdvances in Materials Science and Engineering1687-84341687-84422016-01-01201610.1155/2016/20639872063987Modelling of the Elasticity Modulus for Rock Using Genetic Expression ProgrammingUmit Atici0Department of Mining Engineering, Engineering Faculty, Nigde University, 51245 Nigde, TurkeyIn rock engineering projects, statically determined parameters are more reflective of actual load conditions than dynamic parameters. This study reports a new and efficient approach to the formulation of the static modulus of elasticity Es applying gene expression programming (GEP) with nondestructive testing (NDT) methods. The results obtained using GEP are compared with the results of multivariable linear regression analysis (MRA), univariate nonlinear regression analysis (URA), and the dynamic elasticity modulus (Ed). The GEP model was found to produce the most accurate calculation of Es. The proposed approach is a simple, nondestructive, and practical way to determine Es for anisotropic and heterogeneous rocks.http://dx.doi.org/10.1155/2016/2063987
collection DOAJ
language English
format Article
sources DOAJ
author Umit Atici
spellingShingle Umit Atici
Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming
Advances in Materials Science and Engineering
author_facet Umit Atici
author_sort Umit Atici
title Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming
title_short Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming
title_full Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming
title_fullStr Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming
title_full_unstemmed Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming
title_sort modelling of the elasticity modulus for rock using genetic expression programming
publisher Hindawi Limited
series Advances in Materials Science and Engineering
issn 1687-8434
1687-8442
publishDate 2016-01-01
description In rock engineering projects, statically determined parameters are more reflective of actual load conditions than dynamic parameters. This study reports a new and efficient approach to the formulation of the static modulus of elasticity Es applying gene expression programming (GEP) with nondestructive testing (NDT) methods. The results obtained using GEP are compared with the results of multivariable linear regression analysis (MRA), univariate nonlinear regression analysis (URA), and the dynamic elasticity modulus (Ed). The GEP model was found to produce the most accurate calculation of Es. The proposed approach is a simple, nondestructive, and practical way to determine Es for anisotropic and heterogeneous rocks.
url http://dx.doi.org/10.1155/2016/2063987
work_keys_str_mv AT umitatici modellingoftheelasticitymodulusforrockusinggeneticexpressionprogramming
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