Two-stage local optimization of lattice type support structures for offshore wind turbines
| Autor: | Sebastian Schafhirt, Daniel Zwick, Michael Muskulus |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Engineering Environmental Engineering Speedup business.industry 020209 energy Minimum weight Ocean Engineering Domain decomposition methods 02 engineering and technology Structural engineering Aerodynamics 01 natural sciences Sizing 010305 fluids & plasmas Offshore wind power Dynamic loading 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Time domain business |
| Zdroj: | Ocean Engineering. 117:163-173 |
| ISSN: | 0029-8018 |
| Popis: | Offshore wind turbines are exposed to stochastic dynamic loading that includes non-linear aerodynamic effects. Hence, time domain simulations are needed for the analysis of support structures, resulting in a time consuming and computationally demanding optimization process. Here, the structural optimization was performed assuming that changing dimensions of a structural member does not affect other members of the structure, a heuristic based on the principle of domain decomposition. This allows for a simple sizing algorithm, which optimizes area and stress concentration factors element-wise using a meta-model for the structural performance. In order to further speed up the algorithm, designs were evaluated based on performance data from earlier analyses, while searching for the most suitable changes in design variables. This was found to be very efficient, resulting in a nearly full utilization of fatigue resistance and a saving of analysis time of roughly 40%. Randomly chosen initial designs initiated sequences that converged to the same minimum weight using fewer than seven structural analyses. Fatigue damage was the design driver in this analysis, while ultimate and buckling performance were controlled within the given constraints. |
| Databáze: | OpenAIRE |
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