利用物理信息神经网络研究低速和高速流体动力学问题

IF 1.1 4区工程技术 Q4 MECHANICS

International Journal of Computational Fluid Dynamics Pub Date : 2023-11-30 DOI:10.1080/10618562.2023.2285330

Anubhav Joshi, Alexandros Papados, Rakesh Kumar

引用次数: 0

摘要

在这项工作中，我们使用了物理信息神经网络(pinn)来解决低速和高速下的一些流体动力学问题，重点是后者。对于高速流体动力学问题…

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Investigation of Low and High-Speed Fluid Dynamics Problems Using Physics-Informed Neural Network

In this work, we have employed physics-informed neural networks (PINNs) to solve a few fluid dynamics problems at low and high speeds, with a focus on the latter. For high-speed fluid dynamics prob...

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来源期刊

International Journal of Computational Fluid Dynamics 物理-力学

CiteScore

2.70

自引率

7.70%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Computational Fluid Dynamics publishes innovative CFD research, both fundamental and applied, with applications in a wide variety of fields. The Journal emphasizes accurate predictive tools for 3D flow analysis and design, and those promoting a deeper understanding of the physics of 3D fluid motion. Relevant and innovative practical and industrial 3D applications, as well as those of an interdisciplinary nature, are encouraged.