ESTIMATION OF UNIAXIAL COMPRESSIVE STRENGTH BASED ON REGRESSION TREE MODELS

This paper presents the estimation of the uniaxial compressive strength for mudstone and wackestone carbonates. The need for the estimation has occurred due to inability to fulfill the high quality requirements of sample treatment during direct determination of this physical and mechanical property...

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Main Authors: Zlatko Briševac, Drago Špoljarić, Vlatko Gulam
Format: Article
Language:English
Published: Faculty of Mining, Geology and Petroleum Engineering 2014-12-01
Series:Rudarsko-geološko-naftni Zbornik
Subjects:
Online Access:http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=199049&lang=en
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author Zlatko Briševac
Drago Špoljarić
Vlatko Gulam
author_facet Zlatko Briševac
Drago Špoljarić
Vlatko Gulam
author_sort Zlatko Briševac
collection DOAJ
description This paper presents the estimation of the uniaxial compressive strength for mudstone and wackestone carbonates. The need for the estimation has occurred due to inability to fulfill the high quality requirements of sample treatment during direct determination of this physical and mechanical property on certain types of rocks. For the needs of modelling intact rock materials, extracted from six locations in Croatia, were tested. The following properties were examined: density, effective porosity, point load strength index, Schmidt rebound hardness, P-wave velocity and uniaxial compressive strength which was the target value of the used statistical models. The statistical models based on multiple linear regression and regression trees were considered and compared using cross validation, which showed that the most efficient estimation of the uniaxial compressive strength is obtained using random forests.
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spelling doaj.art-f83a0f2b8a614e848619a713a7a6f8db2023-09-03T05:27:55ZengFaculty of Mining, Geology and Petroleum EngineeringRudarsko-geološko-naftni Zbornik0353-45291849-04092014-12-01291ESTIMATION OF UNIAXIAL COMPRESSIVE STRENGTH BASED ON REGRESSION TREE MODELSZlatko Briševac0Drago Špoljarić1Vlatko Gulam2Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, Pierottijeva 6, Zagreb, CroatiaFaculty of Mining, Geology and Petroleum Engineering, University of Zagreb, Pierottijeva 6, Zagreb, CroatiaCroatian Institute of Geology, Sachsova 2, p.p. 268, 10 000 Zagreb, CroatiaThis paper presents the estimation of the uniaxial compressive strength for mudstone and wackestone carbonates. The need for the estimation has occurred due to inability to fulfill the high quality requirements of sample treatment during direct determination of this physical and mechanical property on certain types of rocks. For the needs of modelling intact rock materials, extracted from six locations in Croatia, were tested. The following properties were examined: density, effective porosity, point load strength index, Schmidt rebound hardness, P-wave velocity and uniaxial compressive strength which was the target value of the used statistical models. The statistical models based on multiple linear regression and regression trees were considered and compared using cross validation, which showed that the most efficient estimation of the uniaxial compressive strength is obtained using random forests.http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=199049&lang=enestimationregression treerandom forestcarbonatesuniaxial compressive strengthpoint load strength indexSchmidt rebound hardnessP-wave velocity
spellingShingle Zlatko Briševac
Drago Špoljarić
Vlatko Gulam
ESTIMATION OF UNIAXIAL COMPRESSIVE STRENGTH BASED ON REGRESSION TREE MODELS
Rudarsko-geološko-naftni Zbornik
estimation
regression tree
random forest
carbonates
uniaxial compressive strength
point load strength index
Schmidt rebound hardness
P-wave velocity
title ESTIMATION OF UNIAXIAL COMPRESSIVE STRENGTH BASED ON REGRESSION TREE MODELS
title_full ESTIMATION OF UNIAXIAL COMPRESSIVE STRENGTH BASED ON REGRESSION TREE MODELS
title_fullStr ESTIMATION OF UNIAXIAL COMPRESSIVE STRENGTH BASED ON REGRESSION TREE MODELS
title_full_unstemmed ESTIMATION OF UNIAXIAL COMPRESSIVE STRENGTH BASED ON REGRESSION TREE MODELS
title_short ESTIMATION OF UNIAXIAL COMPRESSIVE STRENGTH BASED ON REGRESSION TREE MODELS
title_sort estimation of uniaxial compressive strength based on regression tree models
topic estimation
regression tree
random forest
carbonates
uniaxial compressive strength
point load strength index
Schmidt rebound hardness
P-wave velocity
url http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=199049&lang=en
work_keys_str_mv AT zlatkobrisevac estimationofuniaxialcompressivestrengthbasedonregressiontreemodels
AT dragospoljaric estimationofuniaxialcompressivestrengthbasedonregressiontreemodels
AT vlatkogulam estimationofuniaxialcompressivestrengthbasedonregressiontreemodels