Reduced Design Load Basis for Ultimate Blade Loads Estimation in Multidisciplinary Design Optimization Frameworks

Reduced Design Load Basis for Ultimate Blade Loads Estimation in Multidisciplinary Design Optimization Frameworks
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多学科设计优化框架中最终叶片载荷估计的减少设计载荷基础

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发表时间:
2016
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通讯作者:
K. Thomsen
K. Thomsen
中科院分区:
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作者:
C. Pavese;C. Tibaldi;T. Larsen;Taeseong Kim;K. Thomsen

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目的是提供一种快速可靠的方法来估计多学科设计优化 (MDO) 框架的极限叶片载荷。出于叶片设计的目的,这些标准需要大量计算成本高昂的模拟,而这些模拟无法有效地运行 MDO 过程的每个成本函数评估。这项工作描述了一种允许将叶片载荷包络线的计算集成到 MDO 回路内的方法。最终叶片载荷包络线是针对基线设计和 MDO 迭代后获得的设计计算的。这些包络是针对完整标准设计载荷基础 (DLB) 和确定性简化 DLB 计算的。对两种叶片设计的两个 DLB 提取的极限载荷进行了比较和分析。尽管简化的 DLB 提供不同大小的极限载荷,但估计包络线的形状与使用完整 DLB 计算的包络线形状相似。这一观察结果用于提出一种计算成本低廉的方案,并且可以集成到 MDO 框架内,从而提供对叶片极限载荷的足够可靠的估计。当实施被动控制方法的设计变量包含在优化问题的表述中时,后一个方面至关重要。以 10 MW 风力涡轮机叶片的 MDO 作为应用案例研究,以展示简化 DLB 概念的功效。
The aim is to provide a fast and reliable approach to estimate ultimate blade loads for a multidisciplinary design optimization (MDO) framework. For blade design purposes, the standards require a large amount of computationally expensive simulations, which cannot be efficiently run each cost function evaluation of an MDO process. This work describes a method that allows integrating the calculation of the blade load envelopes inside an MDO loop. Ultimate blade load envelopes are calculated for a baseline design and a design obtained after an iteration of an MDO. These envelopes are computed for a full standard design load basis (DLB) and a deterministic reduced DLB. Ultimate loads extracted from the two DLBs with the two blade designs each are compared and analyzed. Although the reduced DLB supplies ultimate loads of different magnitude, the shape of the estimated envelopes are similar to the one computed using the full DLB. This observation is used to propose a scheme that is computationally cheap, and that can be integrated inside an MDO framework, providing a sufficiently reliable estimation of the blade ultimate loading. The latter aspect is of key importance when design variables implementing passive control methodologies are included in the formulation of the optimization problem. An MDO of a 10 MW wind turbine blade is presented as an applied case study to show the efficacy of the reduced DLB concept.