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N.D. Lagaros¹ and M.G. Karlaftis²

¹Institute of Structural Analysis and Antiseismic Research, Department of Structural Engineering, School of Civil Engineering, National Technical University of Athens, Greece
²Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, Greece

Keywords: structural optimization, wind towers, metaheuristics, eurocodes, Vestas, steel yielding stress..

Summary

In this paper, various wind towers with different height were optimally designed for the different heights of 80, 100, 120 and 140 meters, with a different types of wind turbine Vestas V80-MW, V90-MW, V112-MW. Loads acting on the tower were applied and the foundation of every model were taken into account. In particular three types of foundation are used and two steel grades (S235 and S450). For the solution of the optimization problem the Optimization Computing Platform (OCP), developed at the Institute of Structural Analysis and Antiseismic Research of the School of Civil Engineering of NTUA was used. Special attention is given to the theoretical background of the methods incorporated in the optimization computing platform and to their efficiency. A special topic in this context is the applicability of the structural optimization computing platform in real-world civil engineering structural systems; in this direction five wind tower design examples are used to illustrate the capabilities of the optimization computing platform. The optimization computing platform is the result of a twenty year effort to develop a general purpose source code for structural analysis and design optimization in the form of a modular standalone code. It performs structural optimization by a range of eight well-known metaheuristic optimization algorithms while in the case of probabilistic problem formulation, structural reliability analysis is carried out by means of either the first order reliability method or the Monte Carlo simulation procedure.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 106 PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: Paper 103 Structural Design Optimization of Wind Towers N.D. Lagaros¹ and M.G. Karlaftis² ¹Institute of Structural Analysis and Antiseismic Research, Department of Structural Engineering, School of Civil Engineering, National Technical University of Athens, Greece ²Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, Greece doi:10.4203/ccp.106.103 purchase the full-text of this paper Full Bibliographic Reference for this paper N.D. Lagaros, M.G. Karlaftis, "Structural Design Optimization of Wind Towers", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 103, 2014. doi:10.4203/ccp.106.103 Keywords: structural optimization, wind towers, metaheuristics, eurocodes, Vestas, steel yielding stress.. Summary In this paper, various wind towers with different height were optimally designed for the different heights of 80, 100, 120 and 140 meters, with a different types of wind turbine Vestas V80-MW, V90-MW, V112-MW. Loads acting on the tower were applied and the foundation of every model were taken into account. In particular three types of foundation are used and two steel grades (S235 and S450). For the solution of the optimization problem the Optimization Computing Platform (OCP), developed at the Institute of Structural Analysis and Antiseismic Research of the School of Civil Engineering of NTUA was used. Special attention is given to the theoretical background of the methods incorporated in the optimization computing platform and to their efficiency. A special topic in this context is the applicability of the structural optimization computing platform in real-world civil engineering structural systems; in this direction five wind tower design examples are used to illustrate the capabilities of the optimization computing platform. The optimization computing platform is the result of a twenty year effort to develop a general purpose source code for structural analysis and design optimization in the form of a modular standalone code. It performs structural optimization by a range of eight well-known metaheuristic optimization algorithms while in the case of probabilistic problem formulation, structural reliability analysis is carried out by means of either the first order reliability method or the Monte Carlo simulation procedure. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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