Faculty Publications

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    A note on the occurrence of landslides in Araku valley and its environs, Visakhapatnam district, Andhra Pradesh, India
    (2010) Balaji, P.; Pavanaguru, R.; Venkat Reddy, D.
    The occurrence of landslides in Araku valley and its environs of Visakhapatnam district of Andhra Pradesh have been studied. The slides occurred in a rugged hilly terrain which is a part of Eastern Ghats Mobile Belt. The slides are predominantly debris slides of varying dimensions and occurred in khondalitic country having slopes of the order of 30°. The debris are composed mostly of scree, soil, boulders and weathered rock. The significant causative factor of triggering slides was manifested through heavy rainfall associated with cyclonic storm. The causes of the slope failure include toe erosion, debris accumulation that resulted in blockade, overtopping and changes in the stream courses. The present paper is aimed to identify damage assessment, magnitude of slides and causes of slides with an attempt to suggest some long term corrective and control measures in the area. © 2010 Cafet-Innova Technical Society.
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    Zigbee based Wireless Data Acquisition System for monitoring of partition stability above old underground coal workings
    (Springer, 2020) Dorthi, K.; Bayyapu, N.; Ram Chandar, R.C.
    Conversion of old underground workings into opencast mines leads to rock displacement, collapse of partition, and slope failures some times. Continuous monitoring of slopes and partition is required to maintain the stability over old workings. Wireless sensor network is more suitable method for continuous monitoring, and it is cost-effective, two-way communication, and provides real-time monitoring and analysis of data. In this paper, development of a low-cost Zigbee based Wireless Data Acquisition System (WDAQ) is described. Field investigations were carried out in an opencast coal mine in south India to assess the strain and deformation for different partition thicknesses of 4.12m, 5.91m, 6.86m, 7.91m, 10.21m and 12.10m over old underground workings, due to the external load caused by the movement of Heavy Earth Moving Machinery (HEMM). Maximum strain and deformation were 387 × 10?6 and 2.41 mm for 4.12 m partition, respectively. It can be observed that the strain and deformation are decreased with increased partition thickness. This paper also describes that the validation of data based on Zigbee based WDAQ with conventional method of monitoring as well as numerical modeling. The data obtained using WDAQ is in close to the other two methods. The variation is around 5–19%. © 2020, Saudi Society for Geosciences.
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    Integrated Slope Monitoring System for Slope Stability Over Old Underground Galleries During Surface Mining Operations Using Internet of Things
    (Springer Science and Business Media Deutschland GmbH, 2023) Dorthi, K.; Ram Chandar, R.C.
    Surface mining methods have been adopted to extract the coal which is in the form of pillars and roof in old underground coal workings. There are slope failures associated with the extraction method. Conventional slope monitoring systems are available but require physical presence of the person at the site and the readout units which are physically connected to the base units and generally such monitoring is done only during day light. Radar-based systems are being used to monitor the broad area through rain, dust, smoke and operate during both day and night. They provide accurate results, but they are high-cost and require a skilled person for operating in the field. Hence, an investigation taken up to assess the stability of the slope stability over old underground coal workings by using wireless sensor networks (WSNs) and internet of things (IoT). In this paper, monitoring of slope stability using a low cost wireless sensor networks is discussed. An integrated wireless data acquisition system is developed to assess the slope stability and it is validated with conventional instrument and numerical modeling approach. The variation in between integrated slope monitoring system (ISMS) to data logger and numerical modeling is around 3.03%–19%. Statistical analysis results revealed that there is a good correlation between field observations and modeling studies. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.