CFD-aided study on transient wave-blockage interaction in a pressurized fluid pipeline

Zhang, Ying; Duan, Huan‐Feng; Keramat, Alireza

doi:10.1080/19942060.2022.2126999

Cited by 6 publications

(2 citation statements)

References 50 publications

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“…To analyze this phenomenon, the accumulation of carbon dioxide bubbles in the upper part of the pipe wall had a certain blocking efect on the transport of liquid below, so it showed that as the gas volume fraction increased, the time for the liquid to reach the bend area gradually lagged behind. Tis local blocking phenomenon is consistent with the results in [37,38]. Meanwhile, the bubbles were infuenced by the shape of the pipeline in the reducer and bend area and accumulated towards the inlet, causing a reduction in the liquid volume fraction at the inlet, and the degree of reduction increased with the increase of gas volume fraction.…”

Section: Comparison Of Structural Response Under Diferent Gassupporting

confidence: 87%

Analysis of Fluid-Structure Coupling Vibration Characteristics of Pipeline Transporting Bubbly Fluid Medium: With Application to Luxury Passenger Ship Life Area Pipeline

Chen

Zhou

Zhang

2023

Shock and Vibration

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When pipelines are transporting bubbly fluid medium, due to the coalescence and breakage behaviours of the bubbles, the pressure distribution at the wall is not uniform and the structure response is more complex. The bubbly beverage pipeline in the life area of the luxury passenger ship is a typical scene of the pipeline transporting bubbly fluid medium. In this paper, the two-way fluid-structure coupling analysis is carried out on such a scene with the aid of ANSYS software and the PBM model is introduced to characterize the dynamic properties of bubbles. At the same time, the accuracy of this calculation method is verified by the scaling experiment. On this basis, the response of the pipeline under the excitation of bubbly fluid is calculated for different inlet velocities and gas volume fractions, and the effectiveness of common vibration damping measures is evaluated. The result shows that the addition of bubbles to the fluid medium has a significant effect on the distribution of the flow field in the pipeline during transport, and the vibration acceleration values of the pipe wall also increase significantly. This method enables accurate simulation of the vibration characteristics of bubbly fluid medium pipelines.

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Section: Comparison Of Structural Response Under Diferent Gassupporting

confidence: 87%

Analysis of Fluid-Structure Coupling Vibration Characteristics of Pipeline Transporting Bubbly Fluid Medium: With Application to Luxury Passenger Ship Life Area Pipeline

Chen

Zhou

Zhang

2023

Shock and Vibration

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show abstract

“…of pipelines, leakage also occurs from time to time. Leakage of water supply pipes, if not found and dealt with in a timely manner, will not only cause the waste of water resources, affecting people's normal life and production, and even cause serious accidents such as ground collapse, posing a threat to the safety of people's lives [2,3]. Therefore, it is significant to study the leakage detection technology of water supply pipelines to recognize pipeline leakage accurately.…”

Section: Introductionmentioning

confidence: 99%

An intelligent water supply pipeline leakage detection method based on SV-WTBSVM

Guo,

Song,

Zeng

et al. 2024

Meas. Sci. Technol.

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Water supply pipeline leakage not only wastes resources but also causes dangerous accidents. Therefore, detecting the state of pipelines is a critical task. With the expansion of the scale of the water supply pipeline, the amount of data collected by the leak detection system is gradually increasing. Moreover, there is an imbalance of sample in the data. This makes the detection performance of traditional leakage detection methods deteriorate. To solve the above issues, this paper proposes a pipeline leakage intelligent detection method based on a support vector weighted twin-bound support vector machine (SV-WTBSVM). Noise in the data negatively affects the performance of the classifier. To eliminate the effect of noise, a hybrid denoising algorithm based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is used for denoising to filter out the noise in the data. Twin bound support vector machine (TBSVM) is a classical classification algorithm that has been widely used in the detection of pipeline leakage. To solve the decrease in classification accuracy caused by sample imbalance, the SV-WTBSVM algorithm oversamples the minority class samples based on the distance density and integrally undersamples the majority class samples to obtain a balanced sample. Since pipelines often have multiple working conditions, the SV-WTBSVM used for binary classification cannot meet this requirement, and this paper combines the SV-WTBSVM with the "one-to-one" strategy to address the multi-classification problem. Finally, experiments have verified that the SV-WTBSVM algorithm not only retains the advantages of fast training speed and simple operation of the TBSVM but also improves the classification accuracy and generalization ability of the algorithm when dealing with imbalanced data.

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1D-3D coupled simulation method of hydraulic transients in ultra-long hydraulic systems based on OpenFOAM

Zhang

Cheng

Xue

et al. 2023

Engineering Applications of Computational Fluid Mechanics

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CFD-aided study on transient wave-blockage interaction in a pressurized fluid pipeline

Cited by 6 publications

References 50 publications

Analysis of Fluid-Structure Coupling Vibration Characteristics of Pipeline Transporting Bubbly Fluid Medium: With Application to Luxury Passenger Ship Life Area Pipeline

Analysis of Fluid-Structure Coupling Vibration Characteristics of Pipeline Transporting Bubbly Fluid Medium: With Application to Luxury Passenger Ship Life Area Pipeline

An intelligent water supply pipeline leakage detection method based on SV-WTBSVM

1D-3D coupled simulation method of hydraulic transients in ultra-long hydraulic systems based on OpenFOAM

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