马远卓, 赵翔, 李洪双, 赵振宙, 许波峰. 空间分割全局灵敏度方法研究及其在风机叶片极限载荷工况中的应用[J]. 工程力学, 2024, 41(5): 224-233. DOI: 10.6052/j.issn.1000-4750.2022.05.0398
引用本文: 马远卓, 赵翔, 李洪双, 赵振宙, 许波峰. 空间分割全局灵敏度方法研究及其在风机叶片极限载荷工况中的应用[J]. 工程力学, 2024, 41(5): 224-233. DOI: 10.6052/j.issn.1000-4750.2022.05.0398
MA Yuan-zhuo, ZHAO Xiang, LI Hong-shuang, ZHAO Zhen-zhou, XU Bo-feng. RESEARCH ON SPACE PARTITION GLOBAL SENSITIVITY AND ITS APPLICATION IN WIND TURBINE BLADE UNDER ULTIMATE LOAD[J]. Engineering Mechanics, 2024, 41(5): 224-233. DOI: 10.6052/j.issn.1000-4750.2022.05.0398
Citation: MA Yuan-zhuo, ZHAO Xiang, LI Hong-shuang, ZHAO Zhen-zhou, XU Bo-feng. RESEARCH ON SPACE PARTITION GLOBAL SENSITIVITY AND ITS APPLICATION IN WIND TURBINE BLADE UNDER ULTIMATE LOAD[J]. Engineering Mechanics, 2024, 41(5): 224-233. DOI: 10.6052/j.issn.1000-4750.2022.05.0398

空间分割全局灵敏度方法研究及其在风机叶片极限载荷工况中的应用

RESEARCH ON SPACE PARTITION GLOBAL SENSITIVITY AND ITS APPLICATION IN WIND TURBINE BLADE UNDER ULTIMATE LOAD

  • 摘要: 全局灵敏度分析,旨在考量结构系统中各输入随机变量对输出响应不确定性及风险水平影响的重要度。它能为后续的可靠度评估、故障诊断、系统设计、预测及优化等提供重要参考。尽管各类全局灵敏度分析方法不断涌现,但高维复杂结构(如风机叶片结构)灵敏度分析仍是目前的难题。该文针对空间分割全局灵敏度分析方法的三种可能计算形式及最优分割方案展开研究,通过标准算例分析和误差理论推导,提出能充分利用样本信息、有效减轻计算负担的求解形式及分割方案,并将其应用于风机叶片极限载荷工况下的全局灵敏度分析中,同时为未来设计更为高效、经济和可靠的风机结构提供参考。

     

    Abstract: Estimating the importance measure of a structural system by global sensitivity analysis methods can figure out the importance ranking of the input random variables that affect the uncertainty of the output response and the risk level, which provides a basis for the subsequent research on reliability evaluation, on fault diagnosis and system design, on prediction and optimization. A variety of global sensitivity methods has been developed. However, the global sensitivity analysis on high dimensional and complex structures such as wind turbine blade is still a problem to be solved. Three possible calculation forms of space partition global sensitivity analysis methods and the optimal partition scheme are thusly studied. The optimal calculation form and partition scheme, being able to utilize the information of samples and to reduce computational burden as fully as possible, are presented via the analysis of the standard example and by reasoning of the errors. The method is applied to the global sensitivity analysis of wind turbine blade under the ultimate load condition. The method has demonstrated its significance in improving the efficiency on future design of the wind turbine blade, on saving design cost and improving product quality.

     

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