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English(EN) How the elastic axis folds the transonic flutter boundary: shock energy transfer and conformally calibrated active learning

新方法利用主动学习绘制跨音速颤振边界

研究人员开发了一种绘制翼型跨音速颤振边界的新方法,特别关注Isogai的A类情况。该方法利用耦合的非定常欧拉模拟和通过主动学习训练的高斯过程代理模型,并结合分裂共形预测进行稳定性判断。该方法能准确标记颤振边界,并提供无分布误差率,由于轻微的平均迎角,颤振速度在下降处有记录的2.8%的增加。 AI

影响 引入了适用于复杂模拟问题的新型主动学习和共形预测技术。

排序理由 该条目是一篇学术论文,详细介绍了一种用于流体动力学研究的新计算方法。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新方法利用主动学习绘制跨音速颤振边界

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该条目是一篇学术论文,详细介绍了一种用于流体动力学研究的新计算方法。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Ashray Saxena, Sharad Shrivastava ·

    弹性轴如何折叠跨音速颤振边界:激波能量传递与共形校准的主动学习

    arXiv:2610.23298v1 Announce Type: cross Abstract: Isogai's case A, a pitch-plunge aerofoil whose elastic axis lies half a chord ahead of the leading edge, has a folded transonic flutter boundary in inviscid flow: near the bottom of the transonic dip several flutter speeds coexist…