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Information Journal Paper

Title

Prediction of Deformation Modulus of Rock Masses in Southwest Iran Using Multivariate Linear Regression

Pages

  89-96

Abstract

 Summary Knowing geomechanical parameters of soil and rock is among the important items of designing and constructing engineering structures. Deformation Modulus may be determined through in-situ tests and indirect methods. For indirect estimating of this module, Empirical relations are simple and inexpensive methods, but their uses in other parts of the world were associated with errors due to the variation of rock type and the nature of rock mass. In the present article we attempted to estimate the Deformation Modulus (Em) of the Rock masses of southwestern Iran by using intact rock elastic modulus (Ei) and Rock Mass Rating (RMR) parameters. To do that, the multivariable linear regression method was used. The database used included 333 data. In order to study the relation performance and to evaluate its accuracy, R2 coefficient (coefficient of determination) and RMSE (root-mean-square error) were used. For this data R2 coefficient was 0. 811 and RMSE value was 0. 1921...

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    APA: Copy

    ASLANZADEH, M., & HOSSEINI, M.. (2017). Prediction of Deformation Modulus of Rock Masses in Southwest Iran Using Multivariate Linear Regression. JOURNAL OF ROCK MECHANICS, 1(1 ), 89-96. SID. https://sid.ir/paper/268309/en

    Vancouver: Copy

    ASLANZADEH M., HOSSEINI M.. Prediction of Deformation Modulus of Rock Masses in Southwest Iran Using Multivariate Linear Regression. JOURNAL OF ROCK MECHANICS[Internet]. 2017;1(1 ):89-96. Available from: https://sid.ir/paper/268309/en

    IEEE: Copy

    M. ASLANZADEH, and M. HOSSEINI, “Prediction of Deformation Modulus of Rock Masses in Southwest Iran Using Multivariate Linear Regression,” JOURNAL OF ROCK MECHANICS, vol. 1, no. 1 , pp. 89–96, 2017, [Online]. Available: https://sid.ir/paper/268309/en

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