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Mohammad Rezaei

Mohammad Rezaei

Academic rank: Associate Professor
ORCID: 0000-0002-0619-2846
Education: PhD.
ScopusId: 16639269700
HIndex:
Faculty: Faculty of Engineering
Address: University of Kurdistan - Faculty of Engineering - Department of Mining Engineering
Phone: 087-33660073

Research

Title
Designing of the Beheshtabad water transmission tunnel based on the hybrid empirical method
Type
JournalPaper
Keywords
Beheshtabad water transmission tunnel; hybrid empirical method; stability analysis; support system
Year
2023
Journal STRUCTURAL ENGINEERING AND MECHANICS
DOI
Researchers Mohammad Rezaei ، Hazhar Habibi

Abstract

Stability analysis and support system estimation of the Beheshtabad water transmission tunnel is investigated in this research. A combination approach based on the rock mass rating (RMR) and rock mass quality index (Q) is used for this purpose. In the first step, 40 datasets related to the petrological, structural, hydrological, physical, and mechanical properties of tunnel host rocks are measured in the field and laboratory. Then, RMR, Q, and height of influenced zone above the tunnel roof are computed and sorted into five general groups to analyze the tunnel stability and determine its support system. Accordingly, tunnel stand-up time, rock load, and required support system are estimated for five sorted rock groups. In addition, various empirical relations between RMR and Q i.e., linear, exponential, logarithmic, and power functions are developed using the analysis of variance (ANOVA). Based on the significance level (sig.), determination coefficient (R2) and Fisher-test (F) indices, power and logarithmic equations are proposed as the optimum relations between RMR and Q. To validate the proposed relations, their results are compared with the results of previous similar equations by using the variance account for (VAF), root mean square error (RMSE), mean absolute percentage error (MAPE) and mean absolute error (MAE) indices. Comparison results showed that the accuracy of proposed RMR-Q relations is better than the previous similar relations and their outputs are more consistent with actual data. Therefore, they can be practically utilized in designing the tunneling projects with an acceptable level of accuracy and reliability.