基于图像测速的压力场重建的简单边界条件正则化策略

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL

Experiments in Fluids Pub Date : 2024-05-19 DOI:10.1007/s00348-024-03821-0

Connor Pryce, Lanyu Li, Jared P. Whitehead, Zhao Pan

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引用次数: 0

摘要

我们提出了一种简单的边界条件正则化策略，以减少从损坏的图像测速数据中重建压力场时的误差传播。其核心思想是将典型的 Neumann 边界条件替换为 Dirichlet 边界条件，后者是通过对沿边界的压力梯度切向部分进行积分而获得的。严格的分析和数值实验证明了这种正则化的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A simple boundary condition regularization strategy for image velocimetry-based pressure field reconstruction

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A simple boundary condition regularization strategy for image velocimetry-based pressure field reconstruction

We propose a simple boundary condition regularization strategy to reduce error propagation in pressure field reconstruction from corrupted image velocimetry data. The core idea is to replace the canonical Neumann boundary conditions with Dirichlet ones obtained by integrating the tangential part of the pressure gradient along the boundaries. Rigorous analysis and numerical experiments justify the effectiveness of this regularization.

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来源期刊

Experiments in Fluids 工程技术-工程：机械

CiteScore

5.10

自引率

12.50%

发文量

157

审稿时长

3.8 months

期刊介绍： Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow measurement. The journal also publishes contributions that employ existing experimental techniques to gain an understanding of the underlying flow physics in the areas of turbulence, aerodynamics, hydrodynamics, convective heat transfer, combustion, turbomachinery, multi-phase flows, and chemical, biological and geological flows. In addition, readers will find papers that report on investigations combining experimental and analytical/numerical approaches.