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@article{201201,
        author = {Pooja Ramchandra Sathe and Bhujbal Radhika M. and Bhor Sneha B. and Bhutkar Priya R. and Bhise Sushant G. and Boite Samarth S. and Bhosale Trupti V. and Bhumkar Mrutunjay B.},
        title = {Smart Analysis of Beam Support Reactions Using AI Tools},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {5277-5279},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201201},
        abstract = {Beam support reaction analysis is one of the most fundamental topics in Engineering Mechanics and Structural Engineering. Accurate determination of support reactions is essential for safe design of buildings, bridges, machine frames, and industrial structures. Traditional methods rely on equilibrium equations and manual calculations, which can be time-consuming for multiple load cases and complex beam systems. This paper presents a smart approach for analyzing beam support reactions using Artificial Intelligence (AI) tools. Machine learning models, expert systems, and intelligent software are used to predict reactions, classify support conditions, and automate calculations. The study compares conventional methods with AI-assisted analysis in terms of speed, accuracy, and usability. Results show that AI tools significantly improve efficiency and reduce human error in structural calculations.},
        keywords = {Beam Reactions, Artificial Intelligence, Structural Analysis, Engineering Mechanics, Smart Systems, Machine Learning},
        month = {May},
        }