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English(EN) Physics-Guided Multi-Fidelity Surrogate Modeling for Natural Supercavity Geometry of an Axisymmetric Conical Cavitator

新的物理引导代理模型改进了空泡几何预测

研究人员开发了一种新颖的物理引导多保真代理框架,称为扩展分层克里金(PG-EHK),用于预测轴对称锥形空化器的自然超空泡几何。该方法融合了多个解析空泡公式作为低保真趋势函数,并通过有限数量的高保真计算流体动力学(CFD)模拟进行校正。PG-EHK框架使用贝叶斯估计的缩放因子来整合这些解析模型,从而能够用少于20次高保真CFD评估进行准确的空泡几何预测。交叉验证显示,与单独的解析方法相比,预测误差减少了61%。 AI

排序理由 该集群包含一篇详细介绍新建模框架的学术论文。[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 →

新的物理引导代理模型改进了空泡几何预测

本文如何被排名

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Tool
该集群包含一篇详细介绍新建模框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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Topics
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Vinh Pham, Van Tu Nguyen, Warn-Gyu Park ·

    面向轴对称锥形空化器自然空腔几何的物理引导多保真代理建模

    arXiv:2610.18886v1 Announce Type: cross Abstract: Natural supercavitation behind conical cavitators generates a vapor-filled envelope that, when sustained over the full body of a high-speed underwater vehicles, reduces hydrodynamic skin-friction drag and enables performance level…