Simulating the Dynamics of the CX-100 Wind Turbine Blade: Verification, Validation, and Model Selection
Event details
| Date | 13.03.2015 |
| Hour | 11:00 › 12:00 |
| Speaker | Dr Kendra L. Van Buren,Los Alamos National Laboratory, Los Alamos, New Mexico, USA |
| Location | |
| Category | Conferences - Seminars |
The purpose of this presentation is to elucidate the process of a completely integrated Verification and Validation (V&V) procedure, and to propose a decision analysis framework to assess the effect of incomplete knowledge of modeling strategies on prediction accuracy. The methods presented are applied to the nine-meter CX-100 wind turbine blade developed at Sandia National Laboratories. A computationally efficient three-dimensional finite element model is achieved by segmenting the blade geometry into six sections with homogenized, isotropic material properties. The scientific hypothesis to be confirmed by applying V&V activities is the possibility of developing a fast-running model capable of predicting the low-order vibration dynamics with sufficient accuracy. The model is then used to simulate a configuration of the blade in which large masses are added to load the blade in bending during vibration testing. The decision analysis framework is applied to consider two alternative modeling strategies for the added masses, given their respective sources of uncertainty: (i) using solid elements or (ii) with a combination of point-mass and spring elements. The framework departs from the conventional approach that considers only test-analysis correlation to select the model that provides the highest degree of fidelity-to-data. Rather the new approach proposes to explore the trade-offs between fidelity-to-data and robustness-to uncertainty. The effect of the imperfect representation of added masses is quantified by varying parameters of the two competing FE models. The robustness criterion proposed for model selection studies the extent to which prediction accuracy deteriorates as the lack-of-knowledge is increased. Credibility originates from the modeling strategy that offers the best compromises between fidelity and robustness.
Practical information
- General public
- Free
Organizer
- IMAC
Contact
- Gaudenz Moser