浏览全部资源
扫码关注微信
1.广州地铁设计院施工图咨询有限公司,广东省广州市510410
2.大连理工大学建设工程学院,辽宁省大连市116024
3.大连民族大学土木工程学院,辽宁省大连市116600
[ "蒋爽,男,副教授,大连民族大学土木工程学院,18698681335, 。研究方向:建筑节能与液固两相流。" ]
收稿日期:2025-02-25,
修回日期:2025-03-10,
录用日期:2025-04-15,
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/OL]. 默认刊物名称, 2025.
ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, et al. Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines[J/OL]. Moren journal, 2025.
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别,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、效率和适用性方面有较大优势,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。
The natural phenomenon of liquid-solid two-phase flow is extremely common and closely related to various human production and life processes. Obtaining the flow pattern of liquid-solid two-phase flow in pipelines is crucial for correcting real-time flow rates and ensuring the safe operation of the entire system in order to avoid blockages. The article is based on the Dynamic Mode Decomposition (DMD) algorithm
combined with a series of preprocessing measures
to reconstruct the flow pattern of liquid-solid two-phase flow. An experimental platform is built to verify the results
and the reconstruction effect is evaluated using relative error. The research results indicate that although there is some differences between the reconstructed flow pattern obtained by the DMD based identification method for liquid-solid two-phase flow patterns and the true flow pattern
the differences is within an acceptable range and can objectively reflect the evolution process of liquid-solid two-phase flow patterns. Compared with experimental and numerical simulation methods
the identification method of liquid-solid two-phase flow patterns based on DMD has significant advantages in data processing
accuracy
efficiency
and applicability. And it is not limited to specific scenarios
without the need to provide inherent logic of data
and can simultaneously obtain modes with a single frequency and growth rate and construct reduced order dynamic models
saving computational resources.
Dai Yu , Zhang Yanyang , Li Xuyang . Numerical and experimental investigations on pipeline internal solid-liquid mixed fluid for deep ocean mining [J ] . Ocean Engineering , 2021 , 220 .
Ren Wanlong , Zhang Yan , Zhang Xuhui , et al . Investigation of the characteristics and mechanisms of the layer inversion in binary liquid-solid fluidized beds with coarse particles [J ] . Physics of Fluids , 2022 , 34 ( 10 ).
Li Xiang , Wu Weidong , Li Kun , et al . Experimental study on a wet precooling system for fruit and vegetables with ice slurry [J ] . International Journal of Refrigeration , 2022 , 133 : 9 - 18 .
Doron P , Barnea D . Flow pattern maps for solid-liquid flow in pipes [J ] . International Journal of Multiphase Flow , 1996 , 22 ( 2 ): 273 - 83 .
Wang Jihong , Battaglia F , Wang Shugang , et al . Flow and heat transfer characteristics of ice slurry in typical components of cooling systems: A review [J ] . International Journal of Heat and Mass Transfer , 2019 , 141 : 922 - 39 .
Hirochi T , Maeda Y , Yamada S , et al . Flow patterns of ice/water slurry in horizontal pipes [J ] . Journal of Fluids Engineering-Transactions of the Asme , 2004 , 126 ( 3 ): 436 - 41 .
Bordet A , Poncet S , Poirier M , et al . Flow visualizations and pressure drop measurements of isothermal ice slurry pipe flows [J ] . Experimental Thermal and Fluid Science , 2018 , 99 : 595 - 604 .
朱春英 , 付涛涛 , 高习群 , 等 . 微通道内液液两相流流型 [J ] . 化工进展 , 2011 ( 30 ): 65 - 69 .
ZHU Chunying , FU Taotao , GAO Xiqun , et al . Study on the liquid-liquid two-phase flow patterns in microchannels [J ] . Chemical industry and engineering progress , 2011 ( 30 ): 65 - 69 .
Bai Landi , Jin Ningde , Zhang Jiachen , et al . Experimental study of oil-water two-phase flow patterns in a vertical large diameter pipe [J ] . Flow Measurement and Instrumentation , 2024 , 99 .
史雪薇 , 谭超 , 董峰 . 基于环形电导传感器的气液两相流流型识别与过程参数测量 [J ] . 化工进展 , 2024 , ( 43 ) 2 : 637 - 648 .
SHI Xuewei , TAN Chao , DONG Fen . Gas-liquid two-phase flow pattern identification and flow parameters measurement based on the ring-shape conductance sensor [J ] . Chemical industry and engineering progress , 2024 , ( 43 ) 2 : 637 - 648 .
Nie Feng , Wang Haocheng , Song Qinglu , et al . Image identification for two-phase flow patterns based on CNN algorithms [J ] . International Journal of Multiphase Flow , 2022 , 152 .
Li Dandan , Zhao Bidan , Wang Junwu . Data-driven identification of coherent structures in gas-solid system using proper orthogonal decomposition and dynamic mode decomposition [J ] . Physics of Fluids , 2023 , 35 ( 1 ).
Spurin C , Armstrong R T , Mcclure J , et al . Dynamic mode decomposition for analysing multi-phase flow in porous media [J ] . Advances in Water Resources , 2023 , 175 .
Ramos E M , Darze G M , Do Nascimento F R T , et al . Comparison of Dynamic Mode Decomposition and Deep Learning Techniques for Two-Phase Flows Analysis [J ] . Flow Turbulence and Combustion , 2020 , 105 ( 4 ): 1345 - 79 .
Sashittal P , Chiodi R , Morgan T B , et al . Modal analysis and interface tracking of multiphase flows using Dynamic Mode Decomposition [J ] . International Journal of Multiphase Flow , 2022 , 157 .
Schmid P J . Dynamic mode decomposition of numerical and experimental data [J ] . Journal of Fluid Mechanics , 2010 , 656 : 5 - 28 .
L. N. Trefethen and D. Bau , III . Numerical Linear Algebra . SIAM , Philadelphia , 1997 .
Zhao Xutao , Shen Xi , Geng Linlin , et al . Comparative study on the wake dynamics of pump-jet and ducted propeller based on dynamic mode decomposition [J ] . Physics of Fluids , 2023 , 35 ( 11 ).
J. H. Tu , C. W. Rowley , D. M. Luchtenburg , S. L. Brunton , and J. N. Kutz . On dynamicmode decomposition: Theory and applications . Journal of Computational Dynamics , 1 ( 2 ): 391 – 421, 2014 .
P. J. Schmid . Dynamic mode decomposition of numerical and experimental data . Journalof Fluid Mechanics , 656 : 5 – 28, August 2010 .
Yin Yuhui , Jia Shengkun , Yuan Xigang , et al . Reconstruction and prediction of rising bubble by Lagrange DMD in data-driven [J ] . Chemical Engineering Research & Design , 2023 , 189 : 220 - 33 .
0
浏览量
39
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构