Abstract
This paper proposes a methodological approach for the multi-objective optimization of steel towers made from prefabricated cylindrical stacks that are typically used in the oil and gas sector. The goal is to support engineers in designing economical products while meeting structural requirements. The multi-objective optimization approach involves the minimization of the weights and costs related to the manufacturing and assembly phases. The method is based on three optimization levels. The first is used in the preliminary design phase when a company receives a request for proposal. Here, minimal information on the order is available, and the time available to formulate an offer is limited. Thus, parametric cost models and simplified 1-D geometries are used in the optimization loop performed by genetic algorithms. The second phase, the embodiment design phase, starts when an offer becomes an order based on the results of the first stage. Simplified shell geometries and advanced parametric cost models are used in the optimization loop, which present a restricted problem domain. In the last phase involving detailed design, a full 3-D computer-aided design model is generated, and specific finite-element method simulations are performed. The cost estimations, given the high levels of detail considered, are analytic and are performed using dedicated software.
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References
Zheng P, Xu X, Yu S, Liu C (2017) Personalized product configuration framework in an adaptable open architecture product platform. J Manuf Syst 43:422–435. https://doi.org/10.1016/j.jmsy.2017.03.010
Lim LL, Alpan G, Penz B (2017) A simulation-optimization approach for sales and operations planning in build-to-order industries with distant sourcing: focus on the automotive industry. Comput Ind Eng 112:469–482. https://doi.org/10.1016/j.cie.2016.12.002
Kristianto Y, Helo P, Jiao RJ (2015) A system level product configurator for engineer-to-order supply chains. Comput Ind 72:82–91. https://doi.org/10.1016/j.compind.2015.04.004
Sylla A, Guillon D, Vareilles E, Aldanondo M, Coudert T, Geneste L (2018) Configuration knowledge modeling: how to extend configuration from assemble/make to order towards engineer to order for the bidding process. Comput Ind 99:29–41. https://doi.org/10.1016/j.compind.2018.03.019
André S, Elgh F, Johansson J, Stolt R (2017) The design platform—a coherent platform description of heterogeneous design assets for suppliers of highly customised systems. J Eng Des 28:599–626. https://doi.org/10.1080/09544828.2017.1376244
Duchi A, Tamburini F, Parisi D, Maghazei O, Schönsleben P (2017) From ETO to mass customization: a two-horizon ETO enabling process. In: Bellemare J, Carrier S, Nielsen K, Piller F (eds) Managing complexity. Springer proceedings in business and economics. Springer, Cham, pp 99–113. https://doi.org/10.1007/978-3-319-29058-4_8
Elgh F (2012) Decision support in the quotation process of engineered-to-order products. Adv Eng Inform 26:66–79. https://doi.org/10.1016/j.aei.2011.07.001
Trentin A, Perin E, Forza C (2012) Product configurator impact on product quality. Int J Prod Econ 135:850–859. https://doi.org/10.1016/j.ijpe.2011.10.023
Raffaeli R, Savoretti A, Germani M (2017) Design knowledge formalization to shorten the time to generate offers for engineer to order products. Lect Notes Mech Eng. https://doi.org/10.1007/978-3-319-45781-9_110
Caron F, Fiore A (1995) “Engineer to order” companies: how to integrate manufacturing and innovative processes. Int J Proj Manag 13:313–319
Willner O, Gosling J, Schönsleben P (2016) Establishing a maturity model for design automation in sales-delivery processes of ETO products. Comput Ind 82:57–68. https://doi.org/10.1016/j.compind.2016.05.003
Brière-Côté A, Rivest L, Desrochers A (2010) Adaptive generic product structure modelling for design reuse in engineer-to-order products. Comput Ind 61:53–65. https://doi.org/10.1016/j.compind.2009.07.005
Pahl KHGG, Beitz W, Feldhusen J (2004) Engineering design: a systematic approach. Springer, Berlin. https://doi.org/10.1007/978-1-4471-3581-4
Myrodia A, Kristjansdottir K, Hvam L (2017) Impact of product configuration systems on product profitability and costing accuracy. Comput Ind 88:12–18. https://doi.org/10.1016/j.compind.2017.03.001
Gholizadeh S, Baghchevan A (2017) Multi-objective seismic design optimization of steel frames by a chaotic meta-heuristic algorithm. Eng Comput 33:1045–1060. https://doi.org/10.1007/s00366-017-0515-0
Cicconi P, Germani M, Bondi S, Zuliani A, Cagnacci E (2016) A design methodology to support the optimization of steel structures. Procedia CIRP 50:58–64. https://doi.org/10.1016/j.procir.2016.05.030
Uys PE, Farkas J, Jármai K, van Tonder F (2007) Optimisation of a steel tower for a wind turbine structure. Eng Struct 29:1337–1342. https://doi.org/10.1016/j.engstruct.2006.08.011
Cicconi P, Raffaeli R, Marchionne M, Germani M (2018) A model-based simulation approach to support the product configuration and optimization of gas turbine ducts. Comput Aided Des Appl 15(6):807–818. https://doi.org/10.1080/16864360.2018.1462564
Duverlie P, Castelain JM (1999) Cost estimation during design step: parametric method versus case based reasoning method. Int J Adv Manuf Technol 15:895–906. https://doi.org/10.1007/s001700050147
Papavasileiou GS, Charmpis DC (2016) Seismic design optimization of multi-storey steel-concrete composite buildings. Comput Struct 170:49–61. https://doi.org/10.1016/j.compstruc.2016.03.010
Lagaros ND, Karlaftis MG (2016) Life-cycle cost structural design optimization of steel wind towers. Comput Struct 174:122–132. https://doi.org/10.1016/j.compstruc.2015.09.013
Giagkiozis I, Fleming PJ (2015) Methods for multi-objective optimization: an analysis. Inf Sci (Ny). https://doi.org/10.1016/j.ins.2014.08.071
Nguyen A-T, Reiter S, Rigo P (2014) A review on simulation-based optimization methods applied to building performance analysis. Appl Energy 113:1043–1058. https://doi.org/10.1016/j.apenergy.2013.08.061
Castorani V, Vita A, Mandolini M, Germani M (2017) A CAD-based method for multi-objectives optimization of mechanical products. Comput Aided Des Appl 14(5):563–571. https://doi.org/10.1080/16864360.2016.1274528
Martini K (2016) Multiobjective structural optimization of frameworks using enumerative topology. Comput Struct 173:61–70. https://doi.org/10.1016/j.compstruc.2016.05.020
Arnout S, Lombaert G, Degrande G, De Roeck G (2012) The optimal design of a barrel vault in the conceptual design stage. Comput Struct 92–93:308–316. https://doi.org/10.1016/j.compstruc.2011.10.013
Hao P, Wang B, Li G (2012) Surrogate-based optimum design for stiffened shells with adaptive sampling, AIAA J. https://doi.org/10.2514/1.J051522
Brown NC, Mueller CT (2016) Design for structural and energy performance of long span buildings using geometric multi-objective optimization. Energy Build 127:748–761. https://doi.org/10.1016/j.enbuild.2016.05.090
Tort C, Şahin S, Hasançebi O (2017) Optimum design of steel lattice transmission line towers using simulated annealing and PLS-TOWER. Comput Struct 179:75–94. https://doi.org/10.1016/j.compstruc.2016.10.017
Zou XK, Chan CM, Li G, Wang Q (2007) Multiobjective optimization for performance-based design of reinforced concrete frames. J Struct Eng 133:1462–1474. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:10(1462)
Kaveh A, Laknejadi K, Alinejad B (2011) Performance-based multi-objective optimization of large steel structures. Acta Mech 223(2):355–369. https://doi.org/10.1007/s00707-011-0564-1
Shin H, Singh MP (2017) Minimum life-cycle cost-based optimal design of yielding metallic devices for seismic loads. Eng Struct 144:174–184. https://doi.org/10.1016/j.engstruct.2017.04.054
Liang JC, Li LJ, He JN (2015) Performance-based multi-objective optimum, design for steel structures with intelligence algorithms. Int J Optim Civ Eng 5:79–101
Negm HM, Maalawi KY (2000) Structural design optimization of wind turbine towers. Comput Struct 74:649–666. https://doi.org/10.1016/S0045-7949(99)00079-6
Karpat F (2013) A virtual tool for minimum cost design of a wind turbine tower with ring stiffeners. Energies 6:3822–3840. https://doi.org/10.3390/en6083822
Bazeos N, Hatzigeorgiou G, Hondros I, Karamaneas H, Karabalis D, Beskos D (2002) Static, seismic and stability analyses of a prototype wind turbine steel tower. Eng Struct 24:1015–1025. https://doi.org/10.1016/S0141-0296(02)00021-4
Kaveh A (2013) Optimal analysis of structures by concepts of symmetry and regularity. Springer Vienna, Vienna. https://doi.org/10.1007/978-3-7091-1565-7
Zou X-K (2012) Optimal seismic performance-based design of reinforced concrete buildings. In: Structural seismic design optimization and earthquake engineering, IGI Global, Pennsylvania, United States, pp 208–231. https://doi.org/10.4018/978-1-4666-1640-0.ch009
Ozturk M, Kocaoglan S, Sonmez FO (2016) Concurrent design and process optimization of forging. Comput Struct 167:24–36. https://doi.org/10.1016/j.compstruc.2016.01.016
Bruno D, Lonetti P, Pascuzzo A (2016) An optimization model for the design of network arch bridges. Comput Struct 170:13–25. https://doi.org/10.1016/j.compstruc.2016.03.011
Steponavičė I, Ruuska S, Miettinen K (2014) A solution process for simulation-based multiobjective design optimization with an application in the paper industry. Comput Des 47:45–58. https://doi.org/10.1016/j.cad.2013.08.045
Li G, Zhou R-G, Duan L, Chen W-F (1999) Multiobjective and multilevel optimization for steel frames. Eng Struct 21:519–529
Amrani A, Zouggar S, Zolghadri M, Girard P (2010) Supporting framework to improve Engineer-To-Order product lead-times. IFAC Proc 43:102–107. https://doi.org/10.3182/20100908-3-PT-3007.00022
Vasconcellos JM, Harduim M, Araujo P (2014) Multi-criteria optimization applied to tankers preliminary design. In: Maritime Technology and Engineering. CRC Press, Boca Raton, pp 309–314. https://doi.org/10.1201/b17494-43
American Society of Civil Engineers (2006) ASCE STANDARD ASCEISEI 7-05 minimum design loads for buildings and other structures
American Institute of Steel Construction (2010) ANSI/AISC 360-10: specification for structural steel buildings, specification for structural steel buildings
Australian Standard (2011) AS1170-2011: structural design actions
Australian Standard (1998) AS 4100-1998: steel structures designs
CICIND (Organization) (1999) Model code for steel chimneys, CICIND
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Cicconi, P., Castorani, V., Germani, M. et al. A multi-objective sequential method for manufacturing cost and structural optimization of modular steel towers. Engineering with Computers 36, 475–497 (2020). https://doi.org/10.1007/s00366-019-00709-0
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DOI: https://doi.org/10.1007/s00366-019-00709-0