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English(EN) Hybrid coupling with operator inference and the overlapping Schwarz alternating method

新的混合耦合方法将多尺度模拟速度提高了106倍

研究人员开发了一种新颖的混合方法,用于将降阶模型(ROM)彼此以及与高保真全阶模型(FOM)进行耦合。该方法利用重叠施瓦茨交替法(O-SAM)来解决多尺度建模中的挑战,例如运行时间长和网格生成复杂。该技术允许集成不同的模型、网格和时间积分方案,从而提高计算效率和准确性。在3D固体动力学问题上的数值实验表明,与传统的FOM-FOM耦合相比,速度提高了106倍,为更高效的工程模拟工作流程铺平了道路。 AI

影响 这种新的耦合方法可以显著缩短复杂工程问题的模拟时间,从而可能加速AI驱动的设计和发现。

排序理由 该集群包含一篇详细介绍新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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新的混合耦合方法将多尺度模拟速度提高了106倍

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Irina Tezaur, Eric Parish, Anthony Gruber, Ian Moore, Christopher Wentland, Alejandro Mota ·

    算子推理与重叠施瓦茨交替法的混合耦合

    arXiv:2511.20687v3 Announce Type: replace-cross Abstract: This paper presents a novel hybrid approach for coupling subdomain-local non-intrusive Operator Inference (OpInf) reduced order models (ROMs) with each other and with subdomain-local high-fidelity full order models (FOMs) …