Abstract

For better rock mass characterization and support design, 3D engineering geological mapping was carried for the heading portion of the under construction 200.00 m long, 68.75 m high and 20.20 m wide underground additional surge pool cavern of a Pranahitha-Chevella Sujala Sravanthi lift irrigation scheme package 8, India. To study cavern behavior, 3D geologic mapping of heading portion is very important for large cavern for predicting geologic conditions in benching down up to invert level, planning support system, selecting inclination for best location of supplemental rock bolt and choosing strategic locations for various types of instrumentation. The assessment of Tunnel Quality Index “Q” and Geomechanics classification for the granitic rock mass was done based on the information available of the rock joints and their nature and 3D geological logging. Hoek-Brown parameters were also determined by the statistical analysis of the results of a set of triaxial tests on core samples. On basis of geological characteristics and NMT Q-system chart, support system is recommended which includes rock bolt, steel fibre reinforced shotcrete and grouting. To evaluate the efficacy of the proposed support system, the capacity of support system is determined.

Highlights

  • Analytical, observational, and empirical are the main design approach for excavations in rock

  • For better rock mass characterization and support design, 3D engineering geological mapping was carried for the heading portion of the under construction 200.00 m long, 68.75 m high and 20.20 m wide underground additional surge pool cavern of a Pranahitha-Chevella Sujala Sravanthi lift irrigation scheme package 8, India

  • The main objectives of the rock mass classifications are to identify the most significant parameters influencing the behavior of a rock mass, divide area into rock mass classes of varying quality and provide quantitative data for engineering design purpose

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Summary

Introduction

Analytical, observational, and empirical are the main design approach for excavations in rock. Empirical approach for support design of additional surge pool cavern of a Pranahitha-Chevella Sujala Sravanthi lift irrigation. Rock mass classifications as practiced in civil and mining engineering form an integral part of the empirical design methods, which is the most predominant design approach [1]. For the underground cavern rock mass characterization was done based on 3D geologic mapping and laboratory test results. The rock mass is characterized by dry condition or minor inflow i.e.

Laboratory Testing
Geomechanics Classification
Hoek-Brown Parameters
Estimation of Support Pressure and Ground Squeezing Condition
Design of Supports
Findings
Estimation of Support System Capacity
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