PREDICTION OF CONVERGENCE VALUES IN SHALLOW TUNNELS WITH VARIATIONS IN SUPPORT SYSTEMS FOR GOOD ROCK MASS CLASS (RMR = 61-80)
This study aims to analyze the deformation behavior of tunnels, particularly the horizontal displacement caused by excavation processes. Using the finite element method, the research evaluates the magnitude of horizontal convergence and horizontal strain occurring on the left and right walls of t...
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id-itb.:854362024-08-20T14:21:47ZPREDICTION OF CONVERGENCE VALUES IN SHALLOW TUNNELS WITH VARIATIONS IN SUPPORT SYSTEMS FOR GOOD ROCK MASS CLASS (RMR = 61-80) Adityo Avicena, Aulia Indonesia Final Project Shallow Tunnel, Horizontal Displacement, Horizontal Convergence, Horizontal Strain, Support Recommendations INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/85436 This study aims to analyze the deformation behavior of tunnels, particularly the horizontal displacement caused by excavation processes. Using the finite element method, the research evaluates the magnitude of horizontal convergence and horizontal strain occurring on the left and right walls of the tunnel. Horizontal displacement data was collected from monitoring points located 1 meter above the spring line, where rock movement and stress distribution are expected to be most significant. The analysis results show that the tunnel experiences significant horizontal convergence at several points, with the largest convergence value before support installation being 5.86 cm, and after support installation being 3.29 cm, at a depth of 60 meters. Based on the analysis of the support capacity curve diagram from Eurocode 2 (1992), the use of support system type 4 is recommended for depths up to 60 meters in shallow tunnels. text |
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This study aims to analyze the deformation behavior of tunnels, particularly the
horizontal displacement caused by excavation processes. Using the finite element
method, the research evaluates the magnitude of horizontal convergence and
horizontal strain occurring on the left and right walls of the tunnel. Horizontal
displacement data was collected from monitoring points located 1 meter above the
spring line, where rock movement and stress distribution are expected to be most
significant. The analysis results show that the tunnel experiences significant
horizontal convergence at several points, with the largest convergence value before
support installation being 5.86 cm, and after support installation being 3.29 cm, at
a depth of 60 meters. Based on the analysis of the support capacity curve diagram
from Eurocode 2 (1992), the use of support system type 4 is recommended for
depths up to 60 meters in shallow tunnels. |
format |
Final Project |
author |
Adityo Avicena, Aulia |
spellingShingle |
Adityo Avicena, Aulia PREDICTION OF CONVERGENCE VALUES IN SHALLOW TUNNELS WITH VARIATIONS IN SUPPORT SYSTEMS FOR GOOD ROCK MASS CLASS (RMR = 61-80) |
author_facet |
Adityo Avicena, Aulia |
author_sort |
Adityo Avicena, Aulia |
title |
PREDICTION OF CONVERGENCE VALUES IN SHALLOW TUNNELS WITH VARIATIONS IN SUPPORT SYSTEMS FOR GOOD ROCK MASS CLASS (RMR = 61-80) |
title_short |
PREDICTION OF CONVERGENCE VALUES IN SHALLOW TUNNELS WITH VARIATIONS IN SUPPORT SYSTEMS FOR GOOD ROCK MASS CLASS (RMR = 61-80) |
title_full |
PREDICTION OF CONVERGENCE VALUES IN SHALLOW TUNNELS WITH VARIATIONS IN SUPPORT SYSTEMS FOR GOOD ROCK MASS CLASS (RMR = 61-80) |
title_fullStr |
PREDICTION OF CONVERGENCE VALUES IN SHALLOW TUNNELS WITH VARIATIONS IN SUPPORT SYSTEMS FOR GOOD ROCK MASS CLASS (RMR = 61-80) |
title_full_unstemmed |
PREDICTION OF CONVERGENCE VALUES IN SHALLOW TUNNELS WITH VARIATIONS IN SUPPORT SYSTEMS FOR GOOD ROCK MASS CLASS (RMR = 61-80) |
title_sort |
prediction of convergence values in shallow tunnels with variations in support systems for good rock mass class (rmr = 61-80) |
url |
https://digilib.itb.ac.id/gdl/view/85436 |
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