Faculty Publications

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Author: search.filters.author.Ram Chandar, K.R.Subject: search.filters.subject.Slope

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    Accurate Estimation for Stability of Slope and Partition Over Old Underground Coal Workings Using Regression-Based Algorithms
    (Springer Science and Business Media Deutschland GmbH, 2022) Dorthi, K.; Kumar, A.; Ram Chandar, K.R.
    Numerical modeling simulation has found to be best solution for predicting slope and partition stability over old underground coal workings. But it has taken huge time to complete a single simulation model. In this regard, machine learning-based framework is used to predict the stability of old galleries. A case study is taken up in opencast mine and simulation is carried out using numerical model and machine learning-based framework. Framework has shown an overall accuracy of 94–95% for different slope and partition stability. Framework shows a speedup of 2366 × against numerical simulator. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Stress analysis between tunnel and slope for single as well as multiple tunnel scenarios: A numerical modelling approach
    (Indian Academy of Sciences, 2020) Nikumbh, R.K.; Ram Chandar, K.R.
    Nowadays, a wide accessible network requires a combination of tunnels and roads through highly undulating surfaces. This study aims to assess the stress due to surrounding slope on a tunnel using ANSYS software. A circular tunnel with varying distance between the tunnel and slope, and berm width has been used for the analysis. For multiple tunnel cases, distance between the tunnels was also varied for assessing stresses. In this study, maximum and minimum stresses were obtained for a berm width of 4 and 7 m respectively, which showed that stress decreases with an increase in berm width. For multiple tunnels cases, variations in distance between two tunnels provided significant insights in the analysis of stress between the slope and tunnel. © 2020, Indian Academy of Sciences.