Comparative study on structural behavior of ferrocement wall panels Deepana Gopal, D. Shobarajkumar Earthquake Engineering and Structural Dynamics, 2024 In this fast‐developing world both in the form of trends and population. House is a basic need for everyone and it is always preferred to be completed within a minimum time. Ferrocement wall panels will be a great advantage it accommodate quicker construction. It also helps the building to be built with required shape and size and also with a better aesthetic appearance. Other advantages include less cost and also provide better insulation for soundproofing. Because of their ease of replace ability, they can be assembled into an appropriate framework. They can be restructured anywhere at any time, so it is a better substitute than any other kinds of walls. In this investigation, the structural behaviour of ferrocement wall panels of size 2.5 and 3 m in length, 1 m width with 30 mm thickness has been casted with and without addition of nanosilica which obtained from Zea mays was investigated. Amorphous nanosilica has been extracted from Zea mays plant by a series of process like separating the parts of the Zea mays plant, washing the parts to remove dirt, acid wash, drying, calcination, sol–gel adjustment and then post filtration pre, post filtration, which include corrosive pre‐treatment by acid wash, draining, sol–gel adjustment and drying in hot air oven have been used in this work, which will enhance the mechanical properties of ferrocement. ANSYS Software was used to create finite element models to analyse the behaviour of the wall panel from static response to failure. Finally, the experimental and numerical model comparisons were presented and evaluated.
Integrating Sustainable Development Goals into Business, Marketing, Finance and Engineering for a Better World S. Amarnaath, G. Deepana 2024 International Conference on Smart Technologies for Sustainable Development Goals Icstsdg 2024, 2024 To drive a meaningful and fostering better world incorporating the major areas of business, Business marketing, Business Finance and Engineering with Sustainable development goals. This paper Explores how a company or an Institution can incorporate all the 17 SDG Goals given by the United Nations to create sustainable values that enhance innovation and ensure sustainable long-term growth. In Business, the SDG is embedded into the areas of Corporate Governance, maintenance, Operation and Making Sustainable and strategic decisions. In the area of Business marketing, the SDG encompasses ethical consumption, transparency between the consumers and the corporate and Sustainable Campaigns. In the area of Business Finance, the SDG plays a vital role in transferring investments into ventures, green finance, Investment, and social governance. In the field of Engineering, SDG focuses on minimising material usage. Transforming the Environment into an Eco-friendly Environment by using the ideas of the 3R Approach and also by innovating new renewable materials in places of non-renewable materials. By allowing these fields in the SDG, it is possible to create an equitable,eco-friendly surrounding.
Incorporating Sustainable Development Goals (SDGs) into Marketing Strategies: A Path to Business Growth and Global Impact S. Amarnaath, G. Deepana 2024 International Conference on Smart Technologies for Sustainable Development Goals Icstsdg 2024, 2024 This article looks at the unification of the United Nations' Sustainable Development Goals (SDGs) and modern marketing concepts. It considers how it is possible to link businesses' quests for profit with addressing social issues such as poverty reduction, social equity, decent work conditions and responsible consumption. The paper uses a data-driven approach and case studies that exemplifies the conflict between effective brand strategies and SDG marketing to provide evidence that such alignment also attributes brand benefits, and eventually translates into business expansion. The paper also looks at the major limitations of SDG marketing, including how to avoid greenwashing and lack of transparency, and recommends how companies can manage these issues.
Enhancing Weld Quality Assessment Using a Comprehensive Study on Combined Thermal and Residual Stress Through Lenet Pattern Recognition G. Deepana, V. L. Raja, A. Parvathi Priya, J. Geetha Priya, M Rajendiran, et al. 2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024 This study aims to conduct a thorough examination of improving the evaluation of weld quality. This will be achieved by utilizing a mix of thermal and residual stress measurement, along with a pattern recognition approach employing the LeNet neural network architecture. The primary aim of this study is to provide a reliable and precise approach for assessing the quality of welds. In order to enhance the evaluation of weld quality, we propose the utilization of the LeNet convolutional neural network, which is a deep learning framework specifically designed for problems involving image identification. Photographs of weld cross-sections are analyzed using the network, which lets visual patterns of both thermal and residual stress distributions be captured. The findings of our research indicate a notable enhancement in the precision of weld quality evaluation when compared to conventional approaches. We use thermal and residual stress data along with deep learning techniques to make our method much better at finding and classifying defects. The proposed methodology exhibits significant potential for enhancing the overall safety and performance of welded structures across many sectors.
Organic and Recyclable Waste Classification Using Integrated Feature Selection Method A. Vijayaraj, S. Shreya, G. Deepana, P. Gururama Senthilvel, R. Jebakumar 2023 IEEE International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2023, 2023 This paper suggests a new approach to enhancing waste classification performance using deep learning algorithms. Specifically, the proposed approach integrates an autoencoder network with a feature selection method in convolutional neural network models. This approach aims to identify valuable features from waste material images while reducing noise and improving the accuracy of the model. Autoencoder networks are utilised to learn a compressed representation of input data, which can be used as a feature vector for classification tasks. The feature selection method is then applied to remove irrelevant features, improving the accuracy of the model. The proposed approach has the potential to provide an efficient and effective solution for waste classification tasks, contributing to sustainable waste management and environmental conservation. Experimental results demonstrate the effectiveness of the proposed approach in enhancing the accuracy of waste classification tasks.
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MOST CITED SCHOLAR PUBLICATIONS
Synthesis and Characterization of Silica from zea mays G Deepana International Journal of Engineering Research and Technology 8 (3), 311-316 , 2019 2019 Citations: 6
Synthesis and machining characteristics study of agro-waste coconut shell powder incorporated aluminium alloy composite via the squeeze cast technique G Deepana, L Kamaraj, S Ganapathi, R Venkatesh, MK Amarnath, ... International Journal of Cast Metals Research 37 (4-6), 276-286 , 2024 2024 Citations: 4
Comparative study on structural behavior of ferrocement wall panels D Gopal, D Shobarajkumar Earthquake Engineering & Structural Dynamics 53 (5), 1727-1741 , 2024 2024 Citations: 3
Graphene-based bioelectrochemical systems for chlorine-free water disinfection and soil pollutant detoxification DS Vijayan, N Sankaran, NS Akshatha, G Deepana Microchemical Journal, 115769 , 2025 2025 Citations: 1
Integrating Sustainable Development Goals into Business, Marketing, Finance and Engineering for a Better World S Amarnaath, G Deepana 2024 International Conference on Smart Technologies for Sustainable … , 2024 2024 Citations: 1
Incorporating Sustainable Development Goals (SDGs) into Marketing Strategies: A Path to Business Growth and Global Impact S Amarnaath, G Deepana 2024 International Conference on Smart Technologies for Sustainable … , 2024 2024 Citations: 1
Organic and Recyclable Waste Classification Using Integrated Feature Selection Method A Vijayaraj, S Shreya, G Deepana, PG Senthilvel, R Jebakumar 2023 International Conference on Research Methodologies in Knowledge … , 2023 2023 Citations: 1
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Durability Assessment of Grey Water in Performance of Concrete Using Admixture ASVV S. Premkumar, Vidhya Lakshmi Sivakumar, G. Deepana SSRG International Journal of Civil Engineering 11 (5), 56-62 , 2024 2024
An Experimental Study on Partial Replacement of E-Waste as a Coarse Aggregate in M30 Concrete G Deepana Advances in Civil and Structural Engineering-mantech publisher 5 (2), 1-13 , 2020 2020
Experimental investigation on the enhancement of compressive strength of cement mortar used in Ferrocement by addition of silica from Zea Mays G Deepana Journal of ferrocement related papers for the 5th National Convention on … , 2019 2019
Experimental study on the enhancement of strength of ferrocement by using nanosilica as partial replacement for cement G Deepana Indo Global Journal of Applied Engineering 5, 194-198 , 2017 2017
