Optimal solution for the single-beam bridge crane girder using the Moth-Flame algorithm

  • Goran V. Pavlović University of Kragujevac, Faculty of Mechanical and Civil Engineering in Kraljevo, Department of Heavy Machinery, Kraljevo, Republic of Serbia https://orcid.org/0000-0002-7230-1908
  • Mile M. Savković University of Kragujevac, Faculty of Mechanical and Civil Engineering in Kraljevo, Department of Heavy Machinery, Kraljevo, Republic of Serbia https://orcid.org/0000-0002-4501-9149
  • Nebojša B. Zdravković University of Kragujevac, Faculty of Mechanical and Civil Engineering in Kraljevo, Department of Heavy Machinery, Kraljevo, Republic of Serbia https://orcid.org/0000-0001-6387-2816
  • Goran Đ. Marković University of Kragujevac, Faculty of Mechanical and Civil Engineering in Kraljevo, Department of Heavy Machinery, Kraljevo, Republic of Serbia https://orcid.org/0000-0002-0957-0718
  • Predrag Z. Mladenović University of Kragujevac, Faculty of Mechanical and Civil Engineering in Kraljevo, Department of Heavy Machinery, Kraljevo, Republic of Serbia https://orcid.org/0000-0002-3315-4642
Keywords: bridge crane, welded girder, FEA, optimization, metaheuristic

Abstract


Introduction/purpose: The paper analyses and optimizes the welded I-girder of the single-beam bridge crane with a U-profile as the top flange. This solution is to provide a lighter carrying structure, so the main goal is to minimize the weight of the main girder, i.e., the cross-sectional area while fulfiling the requirements defined by national standards and geometric constraints.

Methods: The Moth-Flame Optimization (MFO) algorithm was chosen for solving this single-objective multi-criteria optimization task using MATLAB. Also, the results were verified by using the Finite Element Analysis (FEA).

Results: The proposed girder shape is justified in examples of real solutions of single-beam bridge cranes and the previous research results. In this case, significant savings in the material and better results are achieved compared to the examples from the previous research.

Conclusion: The proposed girder shape, methodology, the optimization algorithm and the achieved savings fully justify this research. Furthermore, this algorithm enables the application of many constraint functions, whereby the optimal values of numerous variables are obtained in a relatively short period. Therefore, it would not be possible to find the solution for that engineering task by applying analytical optimization methods.

References

Cvijović G.M. & Bošnjak S.M. 2016. Calculation methods' comparative analysis of monorail hoist crane local bending effects. Tehnika, 71(4), pp.563-570 (in Serbian). Available at: https://doi.org/10.5937/tehnika1604563C.

Ellifritt, D.S. & Lue, D.M. 1998. Design of Crane Runway Beam with Channel. Engineering Journal, 35(2), pp.41-49. Available at: https://doi.org/10.62913/engj.v35i2.699.

Gąska, D., Haniszewski, T. & Margielewicz, J. 2017. I-beam girders dimensioning with numerical modelling of local stresses in wheel-supporting flanges. Mechanika, 23(3), pp.347-352. Available at: https://doi.org/10.5755/j01.mech.23.3.14083.

Jármai, K., Barcsák, C. & Marcsák, G.Z. 2021. A Box-Girder Design Using Metaheuristic Algorithms and Mathematical Test Functions for Comparison. Applied Mechanics, 2(4), pp.891-910. Available at: https://doi.org/10.3390/applmech2040052.

Jármai, K., Snyman, J.A., Farkas, J. & Gondos, G. 2003. Optimal design of a welded I-section frame using four conceptually different optimization algorithms. Structural and Multidisciplinary Optimization, 25, pp.54-61. Available at: https://doi.org/10.1007/s00158-002-0272-5.

Ky, V.S., Lenwari, A. & Thepchatri, T. 2014. Optimum Design of Steel Structures in Accordance with AISC 2010 Specification Using Heuristic Algorithm. Engineering Journal, 19(4), pp.71-82. Available at: https://doi.org/10.4186/ej.2015.19.4.71.

Mela, K. & Heinisuo, M. 2014. Weight and cost high strength steel beams. Engineering Structures, 79, pp.354-364. Available at: https://doi.org/10.1016/j.engstruct.2014.08.028.

Mirjalili, S. 2015. Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowledge-Based Systems, 89, pp.228-249. Available at: https://doi.org/10.1016/j.knosys.2015.07.006.

Molnár, D., Blatnický, M. & Dižo, J. 2022. Comparison of Analytical and Numerical Approach in Bridge Crane Solution. Manufacturing Technology, 22(2), pp.192-199. Available at: https://doi.org/10.21062/mft.2022.018.

Ostrić, D.Z. & Tošić, S.B. 2005. Dizalice. Belgrade: University of Belgrade, Faculty of Mechanical Engineering (in Serbian). ISBN: 978-86-7083-520-7.

Pavlović, G., Jerman, B., Savković, M., Zdravković, N. & Marković, G. 2022. Metaheuristic applications in mechanical and structural design. Engineering Today, 1(1), pp.19-26. Available at: https://doi.org/10.5937/engtoday2201019P.

Pavlović, G. & Savković, M. 2022. Analysis and optimization of the main girder of the bridge crane with an asymmetric box cross-section. Scientific Technical Review, 72(1), pp.03-11. Available at: https://doi.org/10.5937/str2201003P.

Pavlović, G., Savković, M., Zdravković, N., Bulatović, R. & Marković, G. 2018. Analysis and Optimization Design of Welded I-girder of the Single-beam Bridge Crane. In: 2018 Forth International Conference Mechanical Engineering in the XXI Century MASING 2018, Niš, Serbia, pp.145-150, April 19-20 [online]. Available at: https://scidar.kg.ac.rs/handle/123456789/18843 [Accessed: 02 July 2024].

Pavlović, G.V., Zdravković, N.B., Savković, M.M., Bulatović, R.R. & Marković G.Đ. 2024. Light-weight design of an overhead crane’s girder with a non-symmetric box cross-section. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 238(3), pp.666-676. Available at: https://doi.org/10.1177/09544062231179079.

Petković, Z. & Ostrić, D. 1996. Metalne konstrukcije u teškoj mašinogradnji 1. Belgrade: University of Belgrade, Faculty of Mechanical Engineering (in Serbian). ISBN: 86-70803-274-7.

Qi, Q., Xu, G., Fan, X. & Wang, J. 2015. A new specular reflection optimization algorithm. Advances in Mechanical Engineering, 7(10), pp.1-10. Available at: https://doi.org/10.1177/1687814015610475.

Qin, D., Du, P., Zhu, Q. & Yang, J. 2015. Conceptual design of box girder based on three-dimensional topology optimization. In: 2015 11th World Congress on Structural and Multidisciplinary Optimisation, Sydney, Australia, June 07-12 [online]. Available at: https://www.aeromech.usyd.edu.au/WCSMO2015/papers/1420_paper.pdf [Accessed: 02 July 2024].

Różyło, P. 2016. Optimization of I-section profile design by the finite element method. Advances in Science and Technology Research Journal, 10(29), pp.52-56. Available at: https://doi.org/10.12913/22998624/61931.

Schaper, L., Jörg, F., Winkler, R., Kuhlmann, U. & Knobloch, M. 2019. The simplified method of the equivalent compression flange. Steel Construction, 12(4), pp.264-277. Available at: https://doi.org/10.1002/stco.201900033.

Sitthipong, S., Meengam, C., Chainarong., S. & Towatana, P. 2018. Design Analysis of Overhead Crane for Maintenance Workshop. In: MATEC Web of Conferences: International Conference on Metal Material Processes and Manufacturing (ICMMPM 2018), 207, art.number:02003. Available at: https://doi.org/10.1051/matecconf/201820702003.

Trahair, N.S. 2009. Lateral-distortional buckling of monorails. Engineering Structures, 31(12), pp.2873-2879. Available at: https://doi.org/10.1016/j.engstruct.2009.07.013.

Wang, P.F. & Diao, X.H. 2012. Optimization Design of the Crane Girder Based on Adaptive Genetic Algorithm. Advanced Materials Research, 591-593, pp.123-126. Available at: https://doi.org/10.4028/www.scientific.net/AMR.591-593.123.

Published
2024/09/28
Section
Original Scientific Papers