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Modulus of elasticity for grain-supported carbonates—determination and estimation for preliminary engineering purposes
- Source :
- Applied Sciences, Volume 11, Issue 13, Applied Sciences, Vol 11, Iss 6148, p 6148 (2021)
- Publication Year :
- 2021
-
Abstract
- The determination and estimation of elastic behaviour are essential in engineering practise, especially in quarrying, mining, construction, and all engineering professions that perform operations dealing with rock materials. Young’s modulus, or modulus of elasticity, is the most important property describing the deformability of rock material. In this paper, grain-supported carbonates from Croatia are described and their elastic modulus and significant physical and mechanical properties are determined. The analysis of the collected data was performed in the R statistical environment. Estimation models based on multiple linear regression and the regression tree model were created. The methodology of model development and evaluation in R environment is described in detail. According to the more stringent coefficients (RMSECV and adjusted R2) used to evaluate the success of the estimation, simple regression tree models were found to perform well for the preliminary estimation, while more complex models based on Bagging performed very well.
- Subjects :
- Technology
QH301-705.5
QC1-999
0211 other engineering and technologies
Decision tree
Modulus
Young's modulus
02 engineering and technology
010502 geochemistry & geophysics
01 natural sciences
estimate
symbols.namesake
Linear regression
General Materials Science
Biology (General)
Instrumentation
Elastic modulus
QD1-999
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Mathematics
Fluid Flow and Transfer Processes
Estimation
business.industry
Process Chemistry and Technology
Physics
General Engineering
modulus of elasticity
Structural engineering
Engineering (General). Civil engineering (General)
grain-supported carbonates
Computer Science Applications
Tree (data structure)
Chemistry
grain‐supported carbonates
regression tree
R statistical environment
symbols
Simple linear regression
TA1-2040
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Applied Sciences, Volume 11, Issue 13, Applied Sciences, Vol 11, Iss 6148, p 6148 (2021)
- Accession number :
- edsair.doi.dedup.....d8f02117fb7fd64d9e1e48d821117182