Numerical Modeling for Engineering Analysis and Designing of Optimum Support Systems for Headrace Tunnel

The empirical and numerical design approaches are considered very important in the viable and efficient design of support systems, stability analysis for tunnel, and underground excavations. In the present research work, the rock mass rating (RMR) and tunneling quality index (Q-system) were used as...

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Main Authors: Sajjad Hussain, Zahid Ur Rehman, Noor Mohammad, Muhammad Tahir, Khan Shahzada, Sajjad Wali Khan, Muhammad Salman, Mujahid Khan, Akhtar Gul
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2018/7159873
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author Sajjad Hussain
Zahid Ur Rehman
Noor Mohammad
Muhammad Tahir
Khan Shahzada
Sajjad Wali Khan
Muhammad Salman
Mujahid Khan
Akhtar Gul
author_facet Sajjad Hussain
Zahid Ur Rehman
Noor Mohammad
Muhammad Tahir
Khan Shahzada
Sajjad Wali Khan
Muhammad Salman
Mujahid Khan
Akhtar Gul
author_sort Sajjad Hussain
collection DOAJ
description The empirical and numerical design approaches are considered very important in the viable and efficient design of support systems, stability analysis for tunnel, and underground excavations. In the present research work, the rock mass rating (RMR) and tunneling quality index (Q-system) were used as empirical methods for characterization of rock mass based on real-time geological and site geotechnical data and physical and strength properties of rock samples collected from the alignment of tunnel. The rock mass along the tunnel axis was classified into three geotechnical units (GU-1, GU-2, and GU-3). The support systems for each geotechnical unit were designed. The 2D elastoplastic finite-element method (FEM) was used for the analysis of rock mass behavior, in situ and redistribution stresses, plastic thickness around the tunnel, and performance of the design supports for the selection of optimum support system among RMR and Q supports for each geotechnical unit of tunnel. Based on results, Q support systems were found more effective for GU-1 and GU-2 as compared to RMR support systems and RMR support systems for GU-3 as compared to Q support systems.
format Article
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institution Kabale University
issn 1687-8086
1687-8094
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-bf0ff338a31e4f9bbab64837a64fe4bb2025-02-03T01:00:10ZengWileyAdvances in Civil Engineering1687-80861687-80942018-01-01201810.1155/2018/71598737159873Numerical Modeling for Engineering Analysis and Designing of Optimum Support Systems for Headrace TunnelSajjad Hussain0Zahid Ur Rehman1Noor Mohammad2Muhammad Tahir3Khan Shahzada4Sajjad Wali Khan5Muhammad Salman6Mujahid Khan7Akhtar Gul8Department of Mining Engineering, University of Engineering and Technology, Peshawar, PakistanDepartment of Mining Engineering, University of Engineering and Technology, Peshawar, PakistanDepartment of Mining Engineering, University of Engineering and Technology, Peshawar, PakistanDepartment of Mining Engineering, University of Engineering and Technology, Peshawar, PakistanDepartment of Civil Engineering, University of Engineering and Technology, Peshawar, PakistanDepartment of Civil Engineering, University of Engineering and Technology, Peshawar, PakistanDepartment of Civil Engineering, University of Engineering and Technology, Peshawar, PakistanDepartment of Civil Engineering, University of Engineering and Technology, Peshawar, PakistanDepartment of Civil Engineering, University of Engineering and Technology, Peshawar, PakistanThe empirical and numerical design approaches are considered very important in the viable and efficient design of support systems, stability analysis for tunnel, and underground excavations. In the present research work, the rock mass rating (RMR) and tunneling quality index (Q-system) were used as empirical methods for characterization of rock mass based on real-time geological and site geotechnical data and physical and strength properties of rock samples collected from the alignment of tunnel. The rock mass along the tunnel axis was classified into three geotechnical units (GU-1, GU-2, and GU-3). The support systems for each geotechnical unit were designed. The 2D elastoplastic finite-element method (FEM) was used for the analysis of rock mass behavior, in situ and redistribution stresses, plastic thickness around the tunnel, and performance of the design supports for the selection of optimum support system among RMR and Q supports for each geotechnical unit of tunnel. Based on results, Q support systems were found more effective for GU-1 and GU-2 as compared to RMR support systems and RMR support systems for GU-3 as compared to Q support systems.http://dx.doi.org/10.1155/2018/7159873
spellingShingle Sajjad Hussain
Zahid Ur Rehman
Noor Mohammad
Muhammad Tahir
Khan Shahzada
Sajjad Wali Khan
Muhammad Salman
Mujahid Khan
Akhtar Gul
Numerical Modeling for Engineering Analysis and Designing of Optimum Support Systems for Headrace Tunnel
Advances in Civil Engineering
title Numerical Modeling for Engineering Analysis and Designing of Optimum Support Systems for Headrace Tunnel
title_full Numerical Modeling for Engineering Analysis and Designing of Optimum Support Systems for Headrace Tunnel
title_fullStr Numerical Modeling for Engineering Analysis and Designing of Optimum Support Systems for Headrace Tunnel
title_full_unstemmed Numerical Modeling for Engineering Analysis and Designing of Optimum Support Systems for Headrace Tunnel
title_short Numerical Modeling for Engineering Analysis and Designing of Optimum Support Systems for Headrace Tunnel
title_sort numerical modeling for engineering analysis and designing of optimum support systems for headrace tunnel
url http://dx.doi.org/10.1155/2018/7159873
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