Abstract
Considering the size and dimension of offshore wind turbines, the optimization of such structures is a tedious task. Nonetheless, in this chapter, a meta-heuristic algorithm named Colliding Bodies Optimization (CBO) is employed when investigating the optimal design of jacket supporting structures for offshore wind turbines. The OC4 reference jacket is considered as the case study, validating the outcomes of this algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kaveh, A., & Sabeti, S. (2018). Structural optimization of jacket supporting structures for offshore wind turbines using colliding bodies optimization algorithm. The Structural Design of Tall and Special Buildings, 27(13), e1494. https://doi.org/10.1002/tal.1494.
Uys, P. E., Farkas, J., Jármai, K., & van Tonder, F. (2007). Optimisation of a steel tower for a wind turbine structure. Engineering Structures, 29(7), 1337–1342. https://doi.org/10.1016/j.engstruct.2006.08.011.
Chen, J., Yang, R., Ma, R., & Li, J. (2016). Design optimization of wind turbine tower with lattice-tubular hybrid structure using particle swarm algorithm. The Structural Design of Tall and Special Buildings, 25(15), 743–758. https://doi.org/10.1002/tal.1281.
Thiry, A., Rigo, P., Buldgen, L., Raboni, G., & Bair, F. (2011). Optimization of monopile offshore wind structures. In W. F. Carlos Guedes Soares (Ed.), Advances in marine structures. London: CRC Press.
Long, H., Moe, G., & Fischer, T. (2011). Lattice towers for bottom-fixed offshore wind turbines in the ultimate limit state: Variation of some geometric parameters. Journal of Offshore Mechanics and Arctic Engineering, 134(2). https://doi.org/10.1115/1.4004634.
Long, H., & Moe, G. (2012). Preliminary design of bottom-fixed lattice offshore wind turbine towers in the fatigue limit state by the frequency domain method. Journal of Offshore Mechanics and Arctic Engineering, 134(3). https://doi.org/10.1115/1.4005200.
Zwick, D., Muskulus, M., & Moe, G. (2012). Iterative optimization approach for the design of full-height lattice towers for offshore wind turbines. Energy Procedia, 24, 297–304. https://doi.org/10.1016/j.egypro.2012.06.112.
Zwick, D., & Muskulus, M. (2016). Simplified fatigue load assessment in offshore wind turbine structural analysis. Wind Energy, 19(2), 265–278. https://doi.org/10.1002/we.1831.
Oest, J., Sørensen, R., T. Overgaard, L. C., & Lund, E. (2017). Structural optimization with fatigue and ultimate limit constraints of jacket structures for large offshore wind turbines. Structural and Multidisciplinary Optimization, 55(3), 779–793. https://doi.org/10.1007/s00158-016-1527-x.
Kaveh, A., & Sabeti, S. (2018). Optimal design of jacket supporting structures for offshore wind turbines using CBO and ECBO algorithms. Periodica Polytechnica Civil Engineering, 62(3), 545–554. https://doi.org/10.3311/PPci.11651.
Kaveh, A., Mahdavi, V. R. (2015). Colliding bodies optimization: Extensions and applications. Berlin: Springer.
DNV, G. (2014) DNV-OS-J101–Design of offshore wind turbine structures. Oslo: DNV GL.
Manwell, J. F., McGowan, J. G. & Rogers, A. L. (2010). Wind turbine design and testing. Wind energy explained (pp. 311–357). Hoboken, NJ: Wiley.
CEN, E. (2010). 3: Design of steel structures-Part 1-1: General rules and rules for buildings. Brussels: CEN.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kaveh, A., Dadras Eslamlou, A. (2020). Colliding Bodies Optimization Algorithm for Structural Optimization of Offshore Wind Turbines with Frequency Constraints. In: Metaheuristic Optimization Algorithms in Civil Engineering: New Applications. Studies in Computational Intelligence, vol 900. Springer, Cham. https://doi.org/10.1007/978-3-030-45473-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-45473-9_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-45472-2
Online ISBN: 978-3-030-45473-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)