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A unified fatigue reliability-based design optimization framework for aircraft turbine disk

机译:基于统一的飞机涡轮机磁盘设计优化框架

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摘要

To improve the modeling efficiency and optimization accuracy for fatigue reliability-based design optimization (FRBDO) of aircraft turbine disk, a unified framework integrating by hierarchical fuzzy-neuro (HFN) surrogate method and multi-level collaboration (MLC) optimization model are presented. The HFN method is developed with absorbing fuzzy-neuro surrogate into hierarchical modeling strategy. The MLC model is proposed by considering influencing factors and constraint conditions in multiple layers and multiple cycles. The presented framework was applied to the FRBDO of a high-pressure turbine disk. The optimization results show that the presented framework holds high computational efficiency and accuracy in FRBDO of turbine disk.
机译:为了提高飞机涡轮盘的基于疲劳可靠性的设计优化(FRBDO)的建模效率和优化精度,介绍了通过分层模糊 - 神经(HFN)替代方法和多级协作(MLC)优化模型集成的统一框架。 HFN方法是用吸收模糊神经的替代品开发成层级建模策略。 通过考虑多层和多个循环的影响因素和约束条件来提出MLC模型。 所提出的框架应用于高压涡轮盘的FRBDO。 优化结果表明,该框架在涡轮盘FRBDO中占据了高计算效率和准确性。

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