Dynamic Identification Method for Flow Patterns of Liquid-Solid Two-Phase Flow in Horizontal Pipelines

Zhu Junliang; Zhao Zhifeng; Wang Shugang; Jiang Shuang

doi:10.12465/issn.0253-4339.20250225002

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Dynamic Identification Method for Flow Patterns of Liquid-Solid Two-Phase Flow in Horizontal Pipelines

更新时间：2026-03-30

- Dynamic Identification Method for Flow Patterns of Liquid-Solid Two-Phase Flow in Horizontal Pipelines
- Journal of Refrigeration Vol. 47, Issue 2, Pages: 139-146(2026)
- 作者机构：
  
  1.广州地铁设计院施工图咨询有限公司广州 510410
  2. 大连理工大学建设工程学院大连 116024
  3. 大连民族大学土木工程学院大连 116600
- 作者简介：
- 基金信息：
  
  the National Natural ScienceFoundation of China (No.52378090(52378090)
- DOI：10.12465/issn.0253-4339.20250225002
  CLC： TB61⁺1;TQ021.1
- CSTR：XXXXX.XX.XXX.20250225002
- Received：25 February 2025，
  
  Revised：2025-03-10，
  
  Accepted：15 April 2025，
  
  Published：16 April 2026
- 稿件说明：
移动端阅览
朱俊亮,赵志锋,王树刚等.水平管道内液固两相流流动流型动态识别方法[J].制冷学报,2026,47(02):139-146.

Zhu Junliang,Zhao Zhifeng,Wang Shugang,et al.Dynamic Identification Method for Flow Patterns of Liquid-Solid Two-Phase Flow in Horizontal Pipelines[J].Journal of Refrigeration,2026,47(02):139-146.
朱俊亮,赵志锋,王树刚等.水平管道内液固两相流流动流型动态识别方法[J].制冷学报,2026,47(02):139-146. DOI： 10.12465/issn.0253-4339.20250225002. CSTR： XXXXX.XX.XXX.20250225002.

Zhu Junliang,Zhao Zhifeng,Wang Shugang,et al.Dynamic Identification Method for Flow Patterns of Liquid-Solid Two-Phase Flow in Horizontal Pipelines[J].Journal of Refrigeration,2026,47(02):139-146. DOI： 10.12465/issn.0253-4339.20250225002. CSTR： XXXXX.XX.XXX.20250225002.

摘要

液固两相流的自然现象极为常见，与人类的各种生产、生活过程息息相关。为避免管道内发生堵塞，获取管道内液固两相流的流型对于校正实时流量和确保整个系统运行安全非常重要。基于动态模态分解（DMD）算法，结合预处理措施，对液固两相流的流型进行重构，并搭建实验台对结果进行验证，采用相对误差评价了重构效果。研究结果表明：基于DMD的液固两相流流型的识别方法所得到的还原流型与真实流型虽存在一定的差异，但误差处于可接受范围，能够较为客观地反映液固两相流流型演变过程。相较于实验法和数值模拟的方法，基于DMD的液固两相流流型的识别方法在数据处理、精度、效率和适用性方面具有显著优势，并且不受限于特定场景，无需提供数据的内在逻辑，可同时获得具有单一频率和增长率的模态和构建降阶动力学模型，节省计算资源。

Abstract

The natural phenomenon of liquid-solid two-phase flow is exceptionally common and closely related to various human production and life processes. Obtaining the flow pattern of the liquid-solid two-phase flow in pipelines is crucial for correcting real-time flow rates and ensuring the safe operation of the entire system to prevent obstructions. This study used the dynamic mode decomposition （DMD） algorithm combined with a series of preprocessing measures to reconstruct the flow pattern of a liquid-solid two-phase flow. An experimental platform was constructed to verify the results. The reconstruction effect was evaluated using the relative error. The research results indicate that although certain differences existed between the reconstructed liquid-solid two-phase flow patterns obtained by the DMD-based identification method and the true flow pattern， the differences were within a reasonable range and can objectively reflect the evolution process of the liquid-solid two-phase flow patterns. Compared with experimental and numerical simulation methods， the method for identifying liquid-solid two-phase flow patterns based on the DMD has significant advantages in terms of data processing， accuracy， efficiency， and applicability. It is not limited to specific scenarios， without the need to provide the inherent logic of data， and can simultaneously obtain modes with a single frequency and growth rate and construct reduced-order dynamic models. Thereby， it saves computational resources.

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