| Issue |
E3S Web of Conf.
Volume 559, 2024
2024 International Conference on Sustainable Technologies in Civil and Environmental Engineering (ICSTCE 2024)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 6 | |
| Section | Structural Engineering & Concrete Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202455904010 | |
| Published online | 08 August 2024 | |
Optimizing truss members using Machine Learning
1 Civil and Infrastructure Engineering and Management, School of Engineering and Applied Science, Nile University, Giza 12588, Egypt.
2 Department of Civil Engineering, Faculty of Engineering, Helwan University, Cairo, Egypt.
* Corresponding author: Mosman@nu.edu.eg
This paper aims to produce an optimization methodology for a truss for minimal stress on critical sections using Machine learning models. This is done by varying the height and length of the truss span and applying live loads on different joints. The optimization of the truss is done through feed forward with back propagation artificial neural network model, The optimized truss is modelled and analysed using finite element and stiffness software. The paper presents the results and identifies the best dimensions for the truss design with a safety factor.
Key words: Truss optimization / Machine learning / Stiffness analysis
© The Authors, published by EDP Sciences, 2024
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