Staff View: Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results

Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results

An accurate examination of deformability of rock samples in response to any change in stresses is deeply dependent on the reliable determination of properties of the rock as analysis inputs. Although Young’s modulus (E) can provide valuable characteristics of the rock material deformation, the direc...

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Main Authors:	Behzadafshar, K., Sarafraz, M. E., Hasanipanah, M., Mojtahedi, S. F. F., Tahir, M. M.
Format:	Article
Published:	Springer Verlag 2017
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/77162/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037348181&doi=10.1007%2fs10064-017-1210-5&partnerID=40&md5=c1e946c223abf5cfc00d56a19b2c3ad5
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spelling	my.utm.771622018-05-31T09:36:24Z http://eprints.utm.my/id/eprint/77162/ Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results Behzadafshar, K. Sarafraz, M. E. Hasanipanah, M. Mojtahedi, S. F. F. Tahir, M. M. TA Engineering (General). Civil engineering (General) An accurate examination of deformability of rock samples in response to any change in stresses is deeply dependent on the reliable determination of properties of the rock as analysis inputs. Although Young’s modulus (E) can provide valuable characteristics of the rock material deformation, the direct determination of E is considered a time-consuming and complicated analysis. The present study is aimed to introduce a new hybrid intelligent model to predict the E of granitic rock samples. Hence, a series of granitic block samples were collected from the face of a water transfer tunnel excavated in Malaysia and transferred to laboratory to conduct rock index tests for E prediction. Rock index tests including point load, p-wave velocity and Schmidt hammer together with uniaxial compressive strength (UCS) tests were carried out to prepare a database comprised of 62 datasets for the analysis. Results of simple regression analysis showed that there is a need to develop models with multiple inputs. Then, a hybrid genetic algorithm (GA)-artificial neural network (ANN) model was developed considering parameters with the most impact on the GA. In order to have a fair evaluation, a predeveloped ANN model was also performed to predict E of the rock. As a result, a GA-ANN model with a coefficient of determination (R2) of 0.959 and root mean square error (RMSE) of 0.078 for testing datasets was selected and introduced as a new model for engineering practice; the results obtained were 0.766 and 0.098, respectively, for the developed ANN model. Furthermore, based on sensitivity analysis results, p-wave velocity has the most effect on E of the rock samples. Springer Verlag 2017 Article PeerReviewed Behzadafshar, K. and Sarafraz, M. E. and Hasanipanah, M. and Mojtahedi, S. F. F. and Tahir, M. M. (2017) Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results. Bulletin of Engineering Geology and the Environment . pp. 1-10. ISSN 1435-9529 (In Press) https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037348181&doi=10.1007%2fs10064-017-1210-5&partnerID=40&md5=c1e946c223abf5cfc00d56a19b2c3ad5 DOI:10.1007/s10064-017-1210-5
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Behzadafshar, K. Sarafraz, M. E. Hasanipanah, M. Mojtahedi, S. F. F. Tahir, M. M. Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
description	An accurate examination of deformability of rock samples in response to any change in stresses is deeply dependent on the reliable determination of properties of the rock as analysis inputs. Although Young’s modulus (E) can provide valuable characteristics of the rock material deformation, the direct determination of E is considered a time-consuming and complicated analysis. The present study is aimed to introduce a new hybrid intelligent model to predict the E of granitic rock samples. Hence, a series of granitic block samples were collected from the face of a water transfer tunnel excavated in Malaysia and transferred to laboratory to conduct rock index tests for E prediction. Rock index tests including point load, p-wave velocity and Schmidt hammer together with uniaxial compressive strength (UCS) tests were carried out to prepare a database comprised of 62 datasets for the analysis. Results of simple regression analysis showed that there is a need to develop models with multiple inputs. Then, a hybrid genetic algorithm (GA)-artificial neural network (ANN) model was developed considering parameters with the most impact on the GA. In order to have a fair evaluation, a predeveloped ANN model was also performed to predict E of the rock. As a result, a GA-ANN model with a coefficient of determination (R2) of 0.959 and root mean square error (RMSE) of 0.078 for testing datasets was selected and introduced as a new model for engineering practice; the results obtained were 0.766 and 0.098, respectively, for the developed ANN model. Furthermore, based on sensitivity analysis results, p-wave velocity has the most effect on E of the rock samples.
format	Article
author	Behzadafshar, K. Sarafraz, M. E. Hasanipanah, M. Mojtahedi, S. F. F. Tahir, M. M.
author_facet	Behzadafshar, K. Sarafraz, M. E. Hasanipanah, M. Mojtahedi, S. F. F. Tahir, M. M.
author_sort	Behzadafshar, K.
title	Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
title_short	Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
title_full	Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
title_fullStr	Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
title_full_unstemmed	Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
title_sort	proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
publisher	Springer Verlag
publishDate	2017
url	http://eprints.utm.my/id/eprint/77162/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037348181&doi=10.1007%2fs10064-017-1210-5&partnerID=40&md5=c1e946c223abf5cfc00d56a19b2c3ad5
_version_	1643657515491131392
score	13.211869

Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results

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