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Research Article | Open Access

Stability analysis for rock slope using finite element modeling near Darekasa Railway Station: A case study

Ashish Kumara( )Sarada Prasad PradhanbSiddhant SinghcKartikeya Tripathic
Geo Environmental Solutions, Gurugram 122002, India
Department of Earth Science, Indian Institute of Technology, Roorkee 247667, India
OST Slope Protection Engineering India Pvt. Ltd., Gurugram 122001, India
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Abstract

This paper examines the stability of rock slopes along the broad gauge (BG) line near Darekasa (approximately 1.0 km from Darekasa Station towards the western side). Unsafe slopes and rockfalls can hinder train travel, causing commuters difficulties. A field survey and lab experiments determined the rock slope’s stabilizing factors. Kinematic analysis and finite element modeling evaluated slope stability and design. On-site joint orientations were estimated with a Brunton compass (Nautical Mart Inc., Roorkee, India). Stereonet plots show wedge and planar failure patterns. The RS2 software was used to generate a finite element model for critical slope sections utilizing the combined continuum interface method and to determine critical shear strength reduction factors (SSRFs) with a two-dimensional plain strain method. The stabilization of the subject area was evaluated based on these findings. The purpose of rockfall protection is to prevent the fall of any individual blocks caused by the creation of local wedges. During numerical calculations for the global stability of a slope, these types of failures are not detectable. Along the stretch, this scenario demands drapery/rockfall netting. To preserve the slope against instability and rockfall, corrective measures consisting of reinforced double-twisted hexagonal mesh, rhomboidal cable net, and self-drilling anchors were implemented.

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Journal of Intelligent Construction
Article number: 9180005
Cite this article:
Kumar A, Pradhan SP, Singh S, et al. Stability analysis for rock slope using finite element modeling near Darekasa Railway Station: A case study. Journal of Intelligent Construction, 2024, 2(1): 9180005. https://doi.org/10.26599/JIC.2024.9180005

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Received: 05 October 2023
Revised: 19 November 2023
Accepted: 07 December 2023
Published: 21 February 2024
© The Author(s) 2024. Published by Tsinghua University Press.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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