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基于NSGA-Ⅲ-SAM算法的冲压发动机喷管性能预测
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作者 闵科 蔡泽君 +1 位作者 张加乐 朱呈祥 《航空学报》 北大核心 2025年第14期46-60,共15页
喷管的排气特性直接影响冲压发动机的整体工作性能,如何实现喷管性能的有效预测,预防其发生急剧变化对于发动机的稳定工作十分关键。在不同飞行条件下对三维非对称喷管进行了数值模拟,搭建了不同马赫数和落压比下的喷管性能预测数据集... 喷管的排气特性直接影响冲压发动机的整体工作性能,如何实现喷管性能的有效预测,预防其发生急剧变化对于发动机的稳定工作十分关键。在不同飞行条件下对三维非对称喷管进行了数值模拟,搭建了不同马赫数和落压比下的喷管性能预测数据集。考虑到传统多目标优化算法易陷入局部最优的不足,提出了一种模拟退火式变异优化的非支配排序遗传算法(Non-dominated Sorting Genetic Algorithm-Ⅲ-Simulated Annealing Mutation,NSGA-Ⅲ-SAM),用于提取喷管壁面的最优压力特征。通过以最优压力特征数据作为输入,轴向推力系数、俯仰力矩系数和升力系数作为输出,建立了基于一维卷积神经网络(One Dimension-Convolutional Neural Network,1D-CNN)的喷管性能参数预测模型,并利用马赫数4.5~6.0过膨胀状态数据对模型进行验证。结果表明,NSGA-Ⅲ-SAM算法所提取的最优压力位置能够使模型具备高精度、快速预测的性能,各性能参数平均绝对误差整体在0.5%范围内,最大绝对误差不超过0.8%,平均预测时间仅需0.6 ms左右。所构建的预测模型及方法能够为喷管性能监测及排气工况调节奠定可靠的技术基础。 展开更多
关键词 性能预测 三维非对称喷管 nsga--sam算法 壁面最优压力特征 1D-CNN模型
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Air Route Network Generation Based on Traffic Assignment 被引量:2
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作者 WANG Shijin LIN Jingjing HAN Yunxuan 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2020年第2期223-231,共9页
Air route network is the carrier of air traffic flow,and traffic assignment is a method to verify the rationality of air route network structure.Therefore,air route network generation based on traffic assignment has b... Air route network is the carrier of air traffic flow,and traffic assignment is a method to verify the rationality of air route network structure.Therefore,air route network generation based on traffic assignment has been becoming the research focus of airspace programming technology.Based on link prediction technology and optimization theory,a bi-level programming model is established in the paper.The model includes an upper level of air route network generation model and a lower level of traffic assignment model.The air route network structure generation incorporates network topology generation algorithm based on link prediction technology and optimal path search algorithm based on preference,and the traffic assignment adopts NSGA-Ⅲalgorithm.Based on the Python platform NetworkX complex network analysis library,a network of 57 airports,383 nodes,and 635 segments within China Airspace Beijing and Shanghai Flight Information Regions and 187975 sorties of traffic are used to simulate the bilevel model.Compared with the existing air route network,the proposed air route network can decrease the cost by 50.624%,lower the flight conflict coefficient by 33.564%,and reduce dynamic non-linear coefficient by 7.830%. 展开更多
关键词 air route network link prediction traffic assignment bi-level programming nsga- algorithm
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