Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming
Author
Source
Advances in Materials Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-27
Country of Publication
Egypt
No. of Pages
8
Abstract EN
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 E s 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 ( E d ).
The GEP model was found to produce the most accurate calculation of E s .
The proposed approach is a simple, nondestructive, and practical way to determine E s for anisotropic and heterogeneous rocks.
American Psychological Association (APA)
Atici, Umit. 2016. Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming. Advances in Materials Science and Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1096027
Modern Language Association (MLA)
Atici, Umit. Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming. Advances in Materials Science and Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1096027
American Medical Association (AMA)
Atici, Umit. Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming. Advances in Materials Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1096027
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096027