Faculty Publications

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  • Item
    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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    Development of an alert system in slope monitoring using wireless sensor networks and cloud computing technique – a laboratory experimentation
    (Inderscience Publishers, 2023) Mittapally, M.S.; Chandar, K.R.
    Opencast mine slope monitoring is crucial to prevent potential failures. Wireless sensor networks (WSNs) offer real-time data collection and analysis for effective slope monitoring to minimises monitoring costs and improves safety. Utilising cost-effective microelectromechanical sensors, slope conditions are wirelessly transmitted using internet of things (IoT), facilitating immediate insights. Monitoring parameters like moisture, vibration, and displacement predict slope behaviour. It is essential to test the sensors before designing and implementing a system for regular monitoring in the field to know the sensor’s performance and match them to the slope condition. The study entails moisture, vibration, and displacement measurements in clay slope models. ZigBee-enabled XBee SC2 modules transmit data to ThingSpeak, triggering PythonAnywhere alerts. As a result, if soil moisture sensor readings were over the predefined threshold value of 50%, an email alert was triggered at the time of the jump. It is concluded that the alert system was developed by using sensors in the clay model developed at a laboratory scale and suitable for field applications on a large scale. © © 2023 Inderscience Enterprises Ltd.
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    Stability Assessment and Optimal Excavated Design of a Rock Slope in an Opencast Limestone Mine
    (Books and Journals Private Ltd., 2023) Kumar Reddy, S.K.
    The stability of rock slopes in an opencast limestone mine throughout the mining process was investigated using the limit equilibrium approach (SlopeW). The optimal excavation method with a substantially steeper slope angle of 450 rather than 350 was successfully accomplished at the critical geological section of the pit slope under numerous geologically disturbed area such as joints, faults and folds on a geotechnical basis in order to ensure adequate stability against any failure while working in the mine. The primary objective of this paper is to use the limit equilibrium approach in the SlopeW programme to predict the slope’s safety factor and critical failure surface geometry due to the imposed of a surcharge loading of dump on top of the open pit slope for a 110m deep rock cut in the limestone mine. Geotechnical studies covering field geological mapping, laboratory experiments on rock samples cored from exploration drilling and different rock blocks retrieved straight from the mine were used to determine the physico-mechanical characteristics of the rock components, and numerical analysis using limit equilibrium technique (SlopeW) was carried out. It is also recommended that no activity or construction take place on the top of the pit slope crest in order to prevent further slope failures in old scheme and shifting dump 25m away from the top of pit slope for future safe workings in the mine. © 2023, Books and Journals Private Ltd.. All rights reserved.
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    Functions and performance of sensors for slope monitoring in opencast coal mines–laboratory experimentation
    (Taylor and Francis Ltd., 2024) Mittapally, S.K.; Ram Chandar, R.C.
    Slope monitoring has become mandatory in opencast mines. Despite various slope monitoring systems, Wireless Sensor Network is faster and more efficient. It is essential to test the sensors before installation in the field to assess their effectiveness and suitability for a particular slope condition. The significant factors affecting the slope’s stability are soil moisture and vibration intensity. This study aims to analyze the functions and performance of sensors used in the advanced real-time wireless slope monitoring system. The sensors were validated by comparing the results from the lab experiment with existing methodologies like the Gravimetric method and Geophone method, then installed in a slope model of clay built on a laboratory scale to analyze their performance. The results are drawn and discussed in conclusion. © 2023 Taylor & Francis Group, LLC.
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    A review on stability analysis of coal mine dumps
    (Inderscience Publishers, 2024) Harish, P.; Chandar, K.R.
    Opencast mines are increasingly extracting deeper coal seams in large quantities, leading to a rise in mine depth and generation of substantial waste. Disposal of this waste becomes challenging due to the need for additional land, resulting in dumping excess waste on existing dumps, posing risks of dump failure, property damage, and loss of life. This paper aims the critical review of the stability of dump slope structures that are present on the weak or disturbed foundations which further leads the dumps to fail. Many researchers have concentrated on the irregular base, loose material presence in the foundation, sloping floors, improper compaction at the foundation level, presence of black cotton soil, etc., stating load of the dumps over the weaker foundations exerts more pressure on the foundation and causing the dumps to fail. It synthesises key findings on stability analysis approaches, design criteria, optimisation techniques, and critical parameters involved in numerical modelling-based design for secure dump slope structures. © © 2024 Inderscience Enterprises Ltd.