modelling of the elasticity modulus for rock using genetic expression programming

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ID: 199074
2016
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Abstract
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.
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atici2016advancesmodelling Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Umit Atici
Journal bulletin of the korean chemical society
Year 2016
DOI
10.1155/2016/2063987
URL
http://dx.doi.org/10.1155/2016/2063987
Keywords
materials of engineering and construction mechanics of materials

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