Faculty Publications
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Item Importance of Knee Angle and Trunk Lean in the Detection of an Abnormal Walking Pattern Using Machine Learning(Springer Science and Business Media Deutschland GmbH, 2023) Pandit, P.; Thummar, D.; Verma, K.; Gangadharan, K.V.; Das, B.; Kamat, Y.Human gait can be quantified using motion capture systems. Three-dimensional (3D) gait analysis is considered the gold standard for gait assessment. However, the process of three-dimensional analysis is cumbersome and time-consuming. It also requires complex software and a sophisticated environment. Hence, it is limited to a smaller section of the population. We, therefore, aim to develop a system that can predict abnormal walking patterns by analyzing trunk lean and knee angle information. A vision-based OpenPose algorithm was used to calculate individual trunk lean and knee angles. Web applications have been integrated with this algorithm so that any device can use it. A Miqus camera system of Qualisys 3D gait analysis system was used to validate the OpenPose algorithm. The validation method yielded an error of ± 9° in knee angle and ± 8° in trunk lean. The natural walking pattern of 100 healthy individuals was compared to simulated walking patterns in an unconstrained setting in order to develop a machine learning program. From the collected data, an RNN-based LSTM machine learning model was trained to distinguish between normal and abnormal walkings. LSTM-based models were able to distinguish between normal and abnormal gaits with an accuracy of 80%. This study shows that knee angle and trunk lean patterns collected during walking can be significant indicators of abnormal gait. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item Experimental studies on the effects of corrosion on the flexural strength of RC beams(CAFET INNOVA Technical Society cafetinnova@gmail.com 1-2-18/103, Mohini Mansion, Gagan Mahal Road, Domalguda, Hyderabad 500029, 2014) Pandit, P.; Venkataramana, K.; BabuNarayan, K.S.; Parla, B.; Kimura, Y.RC structures are generally very durable and are capable of withstanding a variety of adverse environmental conditions. However, failures of these structures still occur and reinforcement corrosion is one of the major causes. In the present research, corroded Ordinary Portland Cement (OPC) beams were tested in the laboratory to evaluate their flexural behavior. Accelerated corrosion technique was adopted to corrode the beams. The corrosion was measured using Applied Corrosion Monitoring (ACM) instrument. From the results, it is seen that, as the rate of corrosion increases, the load carrying capacity decreases. The deflection increases initially and then decreases. It is observed that the stiffness of the beams is reduced when rate of corrosion is increased due to changes in the modulus of elasticity of corroded steel. © 2014 CAFET-INNOVA TECHNICAL SOCIETY.Item Soil-structure Interaction Effects on Tall Industrial Chimney Subjected to Along-wind Load(International Association of Engineers, 2025) Sandeep, G.S.; Arun Kumar, Y.M.; Pandit, P.; Jayalekshmi, B.R.The present study focuses on the soil-structure interaction (SSI) effects on tall industrial chimneys subjected to along-wind loading. The influence of soil flexibility because of soil-structure interaction significantly affects the dynamic behavior and wind-induced vibrations of tall structures subjected to wind loads. A 3D finite element (FE) model has been developed to represent the integrated system comprising of chimney structure, annular raft foundation, and supporting soil. The model accounts for both self-weight and along-wind load, enabling a comprehensive assessment of the system’s response. The analysis specifically aims to evaluate the vertical displacement of a raft, contact pressure distribution beneath the raft, bending moment distribution within annular raft foundation, and modal analysis of the chimney. Two different SSI approaches, the Winkler foundation model and the Elastic Continuum model (a more refined and realistic model), have been employed. Their results are compared with those from the conventional (non-interactive) method, which typically assumes a rigid base or ignores soil flexibility. The findings indicate that the inclusion of SSI, particularly using the Winkler and the Elastic Continuum approaches, leads to a notable reduction in bending moments in the raft foundation as compared to the conventional method. This reduction is attributed to the redistribution of stress and the flexibility of the supporting soil, which allows for a more realistic representation of how the foundation interacts with the underlying soil. © 2025, International Association of Engineers. All rights reserved.Item Analysing the flexural response of reinforced concrete cantilever beams under the influence of corrosion: an experimental and numerical study(Cogent OA, 2025) Pandit, P.; Venkataramana, K.The main goal of this study is to evaluate how reinforcement corrosion affects the bending strength of cantilever beams made of reinforced concrete. In the experimental phase, the beams underwent corrosion up to 10% using an accelerated corrosion methodology. Applied corrosion monitoring equipment was employed to gauge the corrosion rate accurately. Following that, corroded beams were tested in the laboratory to examine their flexural behavior. Notably, Portland Pozzolana cement beams exhibited greater corrosion resistance compared to ordinary Portland cement beams, attributed to lower chloride migration in PPC beams, resulting in a 15% increase in corrosion resistance. Additionally, finite element analysis was conducted to develop a numerical analytical approach to effectively evaluate the behaviour of reinforced concrete beams. The research findings revealed that the FE model predicted failure loads to be approximately 11% more than experimental values, while deflections were estimated to be 8% lesser than the experimental value, the FEM model more stiffer than experimental values. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.