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M. Movahedi Rad¹, M. Habashneh¹, R. Cucuzza² and M. Domaneschi²

¹Department of Structural and Geotechnical Engineering, Széchenyi István University, Győr, Hungary
²Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Torino, Italy

doi:10.4203/ccc.9.4.4

M. Movahedi Rad, M. Habashneh, R. Cucuzza, M. Domaneschi, "Reliability-Based Optimization of Steel Beam Designs for Elevated Temperature Applications", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 4.4, 2024, doi:10.4203/ccc.9.4.4

Keywords: thermoelastic-plastic, reliability-based design, topology optimization, BESO, steel beams, elevated temperature.

Abstract

In this article, a novel algorithm is presented for reliability-based topology optimization of steel beams under elevated temperatures. The proposed framework integrates elastoplastic limit analysis by employing the concept of a plastic ultimate load multiplier. Additionally, the algorithm incorporates the location of the applied load as a random variable to enhance reliability-based design. This technique facilitates the analysis of other critical characteristics, such as geometrical imperfections, volume fraction, and material properties, all assumed to follow a normal distribution to address uncertainties. The optimal layouts are generated using these improvements within the bi-directional evolutionary structural optimization method to minimize structural weight while maintaining high performance. Furthermore, different reliability indices result in varied topologies, indicating the sensitivity of the optimization process to these values. By incorporating the reliability index as a constraint, the algorithm effectively regulates the optimization procedure. This method offers an efficient design strategy that considers probabilistic conditions, thereby enhancing the safety and durability of structures exposed to high temperatures.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 9 PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 4.4 Reliability-Based Optimization of Steel Beam Designs for Elevated Temperature Applications M. Movahedi Rad¹, M. Habashneh¹, R. Cucuzza² and M. Domaneschi² ¹Department of Structural and Geotechnical Engineering, Széchenyi István University, Győr, Hungary ²Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Torino, Italy doi:10.4203/ccc.9.4.4 Full Bibliographic Reference for this paper M. Movahedi Rad, M. Habashneh, R. Cucuzza, M. Domaneschi, "Reliability-Based Optimization of Steel Beam Designs for Elevated Temperature Applications", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 4.4, 2024, doi:10.4203/ccc.9.4.4 Keywords: thermoelastic-plastic, reliability-based design, topology optimization, BESO, steel beams, elevated temperature. Abstract In this article, a novel algorithm is presented for reliability-based topology optimization of steel beams under elevated temperatures. The proposed framework integrates elastoplastic limit analysis by employing the concept of a plastic ultimate load multiplier. Additionally, the algorithm incorporates the location of the applied load as a random variable to enhance reliability-based design. This technique facilitates the analysis of other critical characteristics, such as geometrical imperfections, volume fraction, and material properties, all assumed to follow a normal distribution to address uncertainties. The optimal layouts are generated using these improvements within the bi-directional evolutionary structural optimization method to minimize structural weight while maintaining high performance. Furthermore, different reliability indices result in varied topologies, indicating the sensitivity of the optimization process to these values. By incorporating the reliability index as a constraint, the algorithm effectively regulates the optimization procedure. This method offers an efficient design strategy that considers probabilistic conditions, thereby enhancing the safety and durability of structures exposed to high temperatures. download the full-text of this paper (PDF, 1105 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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