Work

Optimizing truss members using Machine Learning

Year: 2024

Type: article

Abstract: 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.

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/e3sconf/202455904010/pdf

Authors: Marwan Osama, Manar Magdi Hamza, Ahmed M.M. Hasan, Mohamed N. Othman, Yaser M. Matar, Ahmed M. Ahmed

Institutions: Nile University, Helwan University

Language: English

Topic: Structural Engineering and Materials Analysis

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6940856194

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