Models to estimate Brazilian indirect tensile strength of limestone in saturated state

Authors

  • Zlatko Briševac
  • Trpimir Kujundžić

DOI:

https://doi.org/10.17794/rgn%20zbornik.v31i2.3842

Abstract

There are a number of methods of estimating physical and mechanical characteristics. Principally, the most widely used is the regression, but recently the more sophisticated methods such as neural networks has frequently been applied, as well. This paper presents the models of a simple and a multiple regression and the neural networks – types Radial Basis Function and Multiple Layer Perceptron, which can be used for the estimate of the Brazilian indirect tensile strength in saturated conditions. The paper includes the issues of collecting the data for the analysis and modelling and the overview of the performed analysis of the efficacy assessment of the estimate of each model. After the assessment, the model which provides the best estimate was selected, including the model which could have the most wide-spread application in the engineering practice.

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Published

2016-02-14

How to Cite

Briševac, Z., & Kujundžić, T. (2016). Models to estimate Brazilian indirect tensile strength of limestone in saturated state. Rudarsko-geološko-Naftni Zbornik (The Mining-Geological-Petroleum Bulletin), 31(2), 59–67. https://doi.org/10.17794/rgn zbornik.v31i2.3842

Issue

Section

Mining