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OPTIMISATION OF WELDED BEAMS: HOW COST FUNCTIONS AFFECT THE RESULTS

Part of: Engineering Design Practice

Published online by Cambridge University Press:  11 June 2020

D. Miler ,
M. Hoić  and
D. Žeželj
D. Miler*
Affiliation:
University of Zagreb, Croatia
M. Hoić
Affiliation:
University of Zagreb, Croatia
D. Žeželj
Affiliation:
University of Zagreb, Croatia
*
*[email protected]

Abstract

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The increasing market competitiveness and CAE availability require the products to be optimised. This practice is exceedingly present when producing semi-standard parts like structural elements. Several cost calculation methods are developed, bringing up the question - which one to use? In this article, we compared three methods; a welded I-section beam was used as an example. The optimisation was carried out using two objectives (mass and cost) and was submitted to Eurocode boundary conditions. The results have shown that the cost calculation method has a negligible influence on the results.

Keywords

design optimisationdesign practicecost management
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 2531 - 2540
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Ahmid, A., Le, V. and Dao, T.M. (2017), “An Optimization Procedure for Overhead Gantry Crane Exposed to Buckling and Yield Criteria”, IRA International Journal of Technology and Engineering, Vol. 8, pp. 28–38.Google Scholar
Arora, J.S. (2017), Introduction to optimum design, 4. ed. Elsevier, London.Google Scholar
Deb, K. et al. (2002), “A fast and elitist multiobjective genetic algorithm: NSGA-II”. IEEE Transactions on Evolutionary Computation, Vol. 6 No. 2, pp. 182–197.10.1109/4235.996017CrossRefGoogle Scholar
EN 1993-1 (2005), Eurocode 3: Design of steel structures, s.l.: European Committe for Standardization.Google Scholar
Haapio, J. (2012), Feature-based costing method for skeletal steel structures based on the process approach (PhD thesis). s.l.: Tampere University of Technology.Google Scholar
Jarmai, K. and Farkas, J. (1999), “Cost calculation and optimisation of welded steel structures”, Journal of Constructional Steel Research, Vol. 50, pp. 115–135.10.1016/S0143-974X(98)00241-7CrossRefGoogle Scholar
Leng, J., Guest, J.K. and Schafer, B.W. (2011), “Shape optimization of cold-formed steel columns”, Thin-Walled Structures, Vol. 49, pp. 1492–1503.10.1016/j.tws.2011.07.009CrossRefGoogle Scholar
Mela, K. and Heinisuo, M. (2014), “Weight and cost optimization of welded high strength steel beams”, Engineering Structures, Vol. 79, pp. 354–364.10.1016/j.engstruct.2014.08.028CrossRefGoogle Scholar
Miler, D. et al. (2018), “Multi-objective spur gear pair optimization focused on volume and efficiency”, Mechanism and Machine Theory, Vol. 125, pp. 185–195.10.1016/j.mechmachtheory.2018.03.012CrossRefGoogle Scholar
Ozbasaran, H. (2018), “Optimal design of I-section beam-columns with stress, non-linear deflection and stability constraints”, Engineering Structures, Vol. 171, pp. 385–394.10.1016/j.engstruct.2018.05.110CrossRefGoogle Scholar
Pavlovčič, L., Krajnc, A. and Beg, D. (2004), “Cost function analysis in the structural optimization of steel frames”, Structural and Multidisciplinary Optimization, Vol. 28, pp. 286–295.10.1007/s00158-004-0430-zCrossRefGoogle Scholar
Sawulski, J. and Ławryńczuk, M. (2019), “Optimization of control strategy for a low fuel consumption vehicle engine”, Information Sciences, Vol. 493, pp. 192–216.10.1016/j.ins.2019.04.047CrossRefGoogle Scholar