Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{162173,
        author = {T S Nawina and N Sudha and S Panneer Selvam},
        title = {OPTIMAL DESIGN OF CONCRETE ELEMENT USING ANNOVA AND ARTIFICIAL NEURAL NETWORK},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {8},
        pages = {278-281},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162173},
        abstract = {Beam elements are designed and the total cost of each of these has been estimated. The grade of concrete has been varied from M20 to M40 and grade of steel varied from Fe 250 to Fe 550. The singly reinforced beams have been designed for various values of live loads and adopting the ratio of b/D from 0.4 to 0.9. In this paper, it is shown that how the decision variables like b, D, Fck, Fy, Asprov, Mu, Vu etc. and the Main Objective of this project has been finalized Minimizing Beam Element Total Cost (BETC). Material and labor and formwork costs are found out. This paper deals with designing a low cost RCC beam in MATLAB. The results from the software and the results from manual design are compared and finally the optimal design of the beams is explained in detail from the various graphs obtained from both the sources.},
        keywords = {Decision Variables, Objective function, MATLAB, beams},
        month = {},
        }