复杂流场超声测速重建算法研究进展与展望
DOI:
CSTR:
作者:
作者单位:

北京长城计量测试技术研究所

作者简介:

通讯作者:

中图分类号:

基金项目:

XXXX进气流量与动态温度计量技术研究


Research Progress and Prospects of Ultrasonic Velocimetry Reconstruction Algorithms for Complex Flow Fields
Author:
Affiliation:

1.Changcheng Institute of Metrology &2.Measurement

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    面对航空发动机及工业管道中复杂畸变流场的测量挑战,超声测速技术凭借其非侵入、无压损的独特优势成为研究热点。文章介绍了主流超声测速方法,分别阐述了时差法、多普勒法的基本原理、计算公式,并聚焦于超声速度场重建中的病态性逆问题,深入剖析了最小二乘法、Tikhonov正则化、截断奇异值分解等经典反演算法的机理、优势及其病态性问题。文章重点总结了应对高声束漂移与低信噪比的物理-信号联合处理策略,并前瞻性提出带有物理先验的算法融合、多物理场耦合及系统集成是推动该技术向高精度、自适应、微型化发展的核心方向,为该技术的进一步突破与工程化应用提供参考。

    Abstract:

    Ultrasonic velocity measurement technology has become a research focus due to its non-invasive and pressure-loss-free advantages in addressing the measurement challenges of complex distorted flow fields, such as those in aero-engine intakes and industrial pipelines. This review introduces mainstream ultrasonic velocimetry methods, detailing the fundamental principles and calculation formulas of the transit-time method and the Doppler method. It focuses particularly on the ill-posed inverse problem inherent in ultrasonic velocity field reconstruction, providing an in-depth analysis of the mechanisms, strengths, and inherent ill-posedness of classical inversion algorithms including the least squares method, Tikhonov regularization, and truncated singular value decomposition (TSVD). The article summarizes key physical-signal joint processing strategies for mitigating significant ultrasonic beam drift and low signal-to-noise ratio (SNR). Looking ahead, it highlights the integration of physics-informed algorithms, multi-physical field coupling, and system-on-chip implementation as pivotal pathways for advancing the technology toward enhanced precision, adaptability, and miniaturization. This work serves as a reference for future breakthroughs and the engineering application of ultrasonic velocimetry technology.

    参考文献
    相似文献
    引证文献
引用本文
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2025-12-03
  • 最后修改日期:2025-12-29
  • 录用日期:2026-01-14
  • 在线发布日期:
  • 出版日期:
文章二维码