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Model selection through robustness and fidelity criteria: Modeling the dynamics of the CX-100 wind turbine blade

机译:通过鲁棒性和保真度标准进行模型选择:对CX-100风力涡轮机叶片的动力学建模

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Several plausible modeling strategies are available to develop numerical models for simulating the dynamics of wind turbine blades. While the modeling strategy is typically selected according to expert judgment, the "best" modeling approach is unknown to the model developer. Thus, comparing plausible modeling strategies through a systematic and rigorous approach becomes necessary. This manuscript departs from the conventional approach that selects the model with the highest fidelity-to-data; and instead explores the trade-off between fidelity of model predictions to experiments and robustness of model predictions to model imprecision and inexactness. Exploring robustness in addition to fidelity lends credibility to the model, ensuring model predictions can be trusted even when lack-of-knowledge in the modeling assumptions and/or input parameters result in unforeseen errors and uncertainties. This concept is demonstrated on the CX-100 wind turbine blade in an experimental configuration with large masses added to load the blade in bending during vibration testing. The finite element model of the blade is built with shell elements and validated against experimental evidence, while the large masses are modeled according to two different, but plausible strategies using (i) a combination of point-mass and spring elements, and (ii) solid elements. These two modeling strategies are evaluated considering both the fidelity of the natural frequency predictions against experiments, and the robustness of the predicted natural frequencies to uncertainties in the input parameters. By considering robustness during model selection, the authors determine the extent to which prediction accuracy deteriorates as the lack-of-knowledge increases. The findings suggest the model with solid elements offers a higher degree of fidelity-to-data and robustness to uncertainties, thus providing a superior modeling strategy than the model with point masses and stiffening springs.
机译:几种可行的建模策略可用于开发用于模拟风力涡轮机叶片动力学的数值模型。尽管通常根据专家的判断来选择建模策略,但是“最佳”建模方法对于模型开发人员来说是未知的。因此,有必要通过系统和严格的方法来比较合理的建模策略。该手稿不同于选择数据保真度最高的模型的传统方法。而是探索模型预测对实验的逼真度与模型预测对不精确性和不精确性建模的鲁棒性之间的权衡。除了保真度之外,探索鲁棒性还可以增强模型的可信度,即使在建模假设和/或输入参数缺乏知识导致无法预料的错误和不确定性的情况下,也可以确保模型预测可信赖。在CX-100风力涡轮机叶片上以实验配置演示了这一概念,并在振动测试过程中添加了大量质量以使叶片承受弯曲载荷。叶片的有限元模型是用壳单元构建的,并根据实验证据进行了验证,而大质量是根据两种不同但可行的策略来建模的,这些策略使用(i)点质量和弹簧元素的组合,以及(ii)固体元素。评估这两种建模策略时,既要考虑相对于实验的固有频率预测的保真度,又要考虑预测的固有频率对输入参数不确定性的鲁棒性。通过在模型选择过程中考虑稳健性,作者确定了随着缺乏知识的增加,预测准确性下降的程度。研究结果表明,具有实体元素的模型提供了更高的数据保真度和对不确定性的鲁棒性,因此比具有点质量和加劲弹簧的模型提供了更好的建模策略。

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